artificial intelligence and essay writing

Artificial intelligence is getting better at writing, and universities should worry about plagiarism

artificial intelligence and essay writing

Assistant Professor, Faculty of Education, Brock University

Educational Leader in Residence, Academic Integrity and Assistant Professor, University of Calgary

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The dramatic rise of online learning during the COVID-19 pandemic has spotlit concerns about the role of technology in exam surveillance — and also in student cheating .

Some universities have reported more cheating during the pandemic, and such concerns are unfolding in a climate where technologies that allow for the automation of writing continue to improve.

Over the past two years, the ability of artificial intelligence to generate writing has leapt forward significantly , particularly with the development of what’s known as the language generator GPT-3. With this, companies such as Google , Microsoft and NVIDIA can now produce “human-like” text .

AI-generated writing has raised the stakes of how universities and schools will gauge what constitutes academic misconduct, such as plagiarism . As scholars with an interest in academic integrity and the intersections of work, society and educators’ labour, we believe that educators and parents should be, at the very least, paying close attention to these significant developments .

AI & academic writing

The use of technology in academic writing is already widespread. For example, many universities already use text-based plagiarism detectors like Turnitin , while students might use Grammarly , a cloud-based writing assistant. Examples of writing support include automatic text generation, extraction, prediction, mining, form-filling, paraphrasing , translation and transcription.

Read more: In an AI world we need to teach students how to work with robot writers

Advancements in AI technology have led to new tools, products and services being offered to writers to improve content and efficiency . As these improve, soon entire articles or essays might be generated and written entirely by artificial intelligence . In schools, the implications of such developments will undoubtedly shape the future of learning, writing and teaching.

A girl at a computer surrounded by zeros and ones as binary code.

Misconduct concerns already widespread

Research has revealed that concerns over academic misconduct are already widespread across institutions higher education in Canada and internationally.

In Canada, there is little data regarding the rates of misconduct. Research published in 2006 based on data from mostly undergraduate students at 11 higher education institutions found 53 per cent reported having engaged in one or more instances of serious cheating on written work, which was defined as copying material without footnoting, copying material almost word for word, submitting work done by someone else, fabricating or falsifying a bibliography, submitting a paper they either bought or got from someone else for free.

Academic misconduct is in all likelihood under-reported across Canadian higher education institutions .

There are different types of violations of academic integrity, including plagiarism , contract cheating (where students hire other people to write their papers) and exam cheating, among others .

Unfortunately, with technology, students can use their ingenuity and entrepreneurialism to cheat. These concerns are also applicable to faculty members, academics and writers in other fields, bringing new concerns surrounding academic integrity and AI such as:

If a piece of writing was 49 per cent written by AI, with the remaining 51 per cent written by a human, is this considered original work?
What if an essay was 100 per cent written by AI, but a student did some of the coding themselves?
What qualifies as “AI assistance” as opposed to “academic cheating”?
Do the same rules apply to students as they would to academics and researchers?

We are asking these questions in our own research , and we know that in the face of all this, educators will be required to consider how writing can be effectively assessed or evaluated as these technologies improve.

Augmenting or diminishing integrity?

At the moment, little guidance, policy or oversight is available regarding technology, AI and academic integrity for teachers and educational leaders.

Over the past year, COVID-19 has pushed more students towards online learning — a sphere where teachers may become less familiar with their own students and thus, potentially, their writing.

While it remains impossible to predict the future of these technologies and their implications in education, we can attempt to discern some of the larger trends and trajectories that will impact teaching, learning and research.

Technology & automation in education

A key concern moving forward is the apparent movement towards the increased automation of education where educational technology companies offer commodities such as writing tools as proposed solutions for the various “problems” within education.

An example of this is automated assessment of student work, such as automated grading of student writing . Numerous commercial products already exist for automated grading, though the ethics of these technologies are yet to be fully explored by scholars and educators.

Read more: Online exam monitoring can invade privacy and erode trust at universities

Overall, the traditional landscape surrounding academic integrity and authorship is being rapidly reshaped by technological developments. Such technological developments also spark concerns about a shift of professional control away from educators and ever-increasing new expectations of digital literacy in precarious working environments .

Read more: Precarious employment in education impacts workers, families and students

These complexities, concerns and questions will require further thought and discussion. Educational stakeholders at all levels will be required to respond and rethink definitions as well as values surrounding plagiarism, originality, academic ethics and academic labour in the very near future.

The authors would like to sincerely thank Ryan Morrison, from George Brown College, who provided significant expertise, advice and assistance with the development of this article.

Artificial intelligence (AI)
Academic cheating
Academic integrity
Academic writing

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Visiting Professor - 2024-25 Australia-Korea Chair in Australian Studies at Seoul National University

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Using AI tools

AI Writing Tools | Definition, Uses & Implications

AI writing tools are artificial intelligence (AI) software applications like ChatGPT that help to automate or assist the writing process. These tools use machine learning algorithms to generate human-sounding text in response to users’ text-based prompts.

Other AI tools, such as grammar checkers , paraphrasers and summarizers serve more specific functions, like identifying grammar and spelling mistakes or rephrasing text.

How do ai writing tools work, what can ai writing tools be used for, implications of ai writing tools, other interesting articles, frequently asked questions about ai writing tools.

AI writing tools (chatbots, grammar checkers, etc.) use natural language processing (NLP) algorithms, machine learning , and large language models (LLMs) to generate or improve written text. These tools are trained to identify patterns in vast amounts of data. The tools then use these patterns to analyze human inputs (or prompts) and generate natural-sounding outputs (similar to how predictive text works).

Different AI tools may be programmed in different ways. For example, ChatGPT, the popular chatbot developed by OpenAI and released in November 2022, uses generative pre-trained transformers (GPTs) and was trained using reinforcement learning from human feedback (RLHF) , meaning that the tool was given feedback from humans to help guide it towards the most helpful responses.

AI writing tools have a number of helpful applications. Some of these applications are discussed below.

Interactive learning and feedback

Generative AI tools can be helpful resources for conversational learning. By inputting questions, users can engage in interactive learning at any time.

You can also prompt these tools to provide feedback on your work to improve the clarity or consistency of your writing. However, it’s important not to upload sensitive information, as user inputs are generally saved by the tool for the purposes of training future models.

Below is an example of how ChatGPT can be used for interactive learning.

Example: Using ChatGPT for interactive learning

Tell me three facts about Carthaginian culture
Carthaginians were known for their maritime trade and commerce, and their navy was one of the strongest in the ancient Mediterranean world. They established colonies and trading posts throughout the Mediterranean, including in Sicily, Sardinia, and North Africa.
Carthaginians had a polytheistic religion, and their chief deity was Baal Hammon, the god of fertility, agriculture, and the sky. They also worshiped a number of other gods and goddesses, including Tanit, the goddess of love, fertility, and war.
Carthaginians were skilled metalworkers and produced a variety of metal goods, including weapons, armor, jewelry, and household objects. They were particularly famous for their bronze work, which was highly prized in the ancient world. Carthaginian bronze was so valued that it was used by the Romans to make their famous statues and other works of art.
Tell me three more facts about the Carthaginian navy
The Carthaginian navy was one of the most advanced and powerful navies of the ancient world. It was instrumental in establishing Carthage as a dominant power in the Mediterranean region.
The Carthaginians were known for their skill in shipbuilding and developed a variety of ship types for different purposes, including warships, transport ships, and cargo ships. One of their most famous ship types was the quinquereme, a large warship with five rows of oars.
The Carthaginian navy was led by a commander called the “admiral.” The admiral was responsible for overseeing the fleet and making strategic decisions about naval warfare. One of the most famous Carthaginian admirals was Hannibal Barca, who led the Carthaginian fleet during the First Punic War against Rome.

Generating research questions and outlines

AI writing tools can be used to generate potential research questions or research paper outlines . You can then refine the tool’s responses by further prompting it or directly editing the output yourself to ensure the result makes sense and fits your requirements.

Below is an example of how ChatGPT can be used to generate potential reseach questions and research method ideas.

Example: Using ChatGPT to generate research questions and methods

Develop three possible research questions on the following topic: “The influence of technology on second language acquisition.”
What is the impact of technology-assisted language learning (TALL) on the acquisition of a second language?
How do different types of technology, such as mobile applications, virtual reality, and online platforms, affect second language acquisition outcomes?
How do individual learner characteristics, such as age, proficiency level, and motivation, interact with the use of technology in second language acquisition?
Suggest three quantitative research methods appropriate to the second question.
Experimental research: This research method involves manipulating an independent variable (in this case, the type of technology used) to observe its effect on a dependent variable (second language acquisition outcomes). Participants would be randomly assigned to different groups using different types of technology to learn a second language, and then their language acquisition outcomes would be measured and compared.
Survey research: This research method involves using questionnaires to gather data from a large group of participants. In this case, a survey could be designed to gather information on participants’ use of different types of technology to learn a second language, as well as their language acquisition outcomes. This would allow for a large-scale investigation of how different types of technology are being used, and what their impact might be.
Correlational research: This research method involves examining the relationship between two or more variables. In this case, a correlational study could be conducted to investigate whether there is a relationship between the type of technology used and language acquisition outcomes. Data could be collected from participants using different types of technology to learn a second language, and then the correlation between the type of technology and language acquisition outcomes could be calculated.

Paraphrasing text

AI tools like ChatGPT and Scribbr’s free paraphrasing tool can help you paraphrase text to express your ideas more clearly, avoid repetition, and maintain a consistent tone throughout your writing.

They can also help you incorporate scholarly sources in your writing in a more concise and fluent way, without the need for direct quotations. However, it’s important to correctly cite all sources to avoid accidental plagiarism.

Summarizing text

AI writing tools can help condense a text to its most important and relevant ideas. This can help you understand complex information more easily. You can also use summarizer tools on your own work to summarize your central argument, clarify your research question, and form conclusions.

You can do this using generative AI tools or more specialized tools like Scribbr’s free text-summarizer .

Proofreading text

AI writing tools can be used to identify spelling, grammar, and punctuation mistakes and suggest corrections. These tools can help to improve the clarity of your writing and avoid common mistakes .

While AI tools like ChatGPT offer useful suggestions, they can also potentially miss some mistakes or even introduce new grammatical errors into your writing.

We advise using Scribbr’s proofreading and editing service or a tool like Scribbr’s free grammar checker , which is designed specifically for this purpose.

Translating text

AI translation tools like Google Translate can be used to translate text from a source language into various target languages. While the quality of these tools tend to vary depending on the languages used, they’re constantly developing and are increasingly accurate.

While there are many benefits to using AI writing tools, some commentators have emphasized the limitations of AI tools and the potential disadvantages of using them. These drawbacks are discussed below.

Impact on learning

One of the potential pitfalls of using AI writing tools is the effect they might have on a student’s learning and skill set. Using AI tools to generate a paper, thesis , or dissertation , for example, may impact a student’s research, critical thinking, and writing skills.

However, other commentators argue that AI tools can be used to promote critical thinking (e.g., by having a student evaluate a tool’s output and refine it).

Consistency and accuracy

Generative AI tools (such as ChatGPT) are not always trustworthy and sometimes produce results that are inaccurate or factually incorrect. Although these tools are programmed to answer questions, they can’t judge the accuracy of the information they provide and may generate incorrect answers or contradict themselves.

It’s important to verify AI-generated information against a credible source .

Grammatical mistakes

While generative AI tools can produce written text, they don’t actually understand what they’re saying and sometimes produce grammar, spelling, and punctuation mistakes.

You can combine the use of generative AI tools with Scribbr’s grammar checker , which is designed to catch these mistakes.

Ethics and plagiarism

As AI writing tools are trained on large sets of data, they may produce content that is similar to existing content (which they usually cannot cite correctly), which can be considered plagiarism.

Furthermore, passing off AI-generated text as your own work is usually considered a form of plagiarism and is likely to be prohibited by your university. This offense may be recognized by your university’s plagiarism checker or AI detector .

If you want more tips on using AI tools , understanding plagiarism , and citing sources , make sure to check out some of our other articles with explanations, examples, and formats.

Citing ChatGPT
Best grammar checker
Best paraphrasing tool
ChatGPT in your studies
Is ChatGPT trustworthy?
Types of plagiarism
Self-plagiarism
Avoiding plagiarism
Academic integrity
Best plagiarism checker

Citing sources

Citation styles
In-text citation
Citation examples
Annotated bibliography

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarize text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarizing tool , and grammar checker , which are designed specifically for these purposes.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalization, unless it is allowed by your university . Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

You can access ChatGPT by signing up for a free account:

Follow this link to the ChatGPT website.
Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up.” You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs $20 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

ChatGPT was publicly released on November 30, 2022. At the time of its release, it was described as a “research preview,” but it is still available now, and no plans have been announced so far to take it offline or charge for access.

ChatGPT continues to receive updates adding more features and fixing bugs. The most recent update at the time of writing was on May 24, 2023.

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AI for Essay Writing — Exploring Top 10 Essay Writers

Let’s admit it — essay writing is quite a challenging task for students. Especially with the stringent deadlines, conducting research, writing , editing, and addressing to-and-fro reviews — consumes a whole lot of time and often becomes stressful. Therefore, students are always on the lookout for tools that speed up the essay writing process.

And that’s when AI writing tools make their debut! Using the best AI for essay writing makes the lives of students much easier by automatically generating the essay for them.

The rise in the popularity of artificial intelligence technology and deep learning has paved the way for the numerous AI writer tools available today. To help you understand the different types of AI tools and their benefits, we’ve uncovered the features of the top 10 AI essay generators in this article.

Let’s explore the tools and learn how they are transforming the tedious task of essay writing!

What is essay writing?

Essay writing is a part of academic writing that emphasizes formulating an idea or argument. The main objective of academic essay writing is to present a well-reasoned argument or idea. Evidence, analysis, and interpretation are the three major components of essay writing . It should have a logical structure to support the argument or idea of the essay so that it communicates clearly and concisely.

What is an AI essay writer?

AI essay writers is a tool that is designed to help students generate essays using machine learning techniques. They can be used to generate a full essay or generate a few parts of the essay, for example, essay titles, introduction, conclusion, etc.

Why should researchers use AI essay generators?

There are infinite benefits to using AI tools for writing unique essays, especially for researchers or students. Here are a few of them —

1. Saves time

Using best AI for essay writing has its own benefits. Students can take care of the research process while these AI tools write the essays for them. Be it an essay topic or a full-length essay generation, it saves a bunch of students' time.

2. Boosts productivity

Writing is a tedious task especially when you want to write an essay about a novel topic, that writer’s block starts haunting and your productivity gets affected. But, with AI, it’s the other way around and increases productivity by quickly generating the essays for you.

3. Enhances writing skills — Vocabulary and Style

Adopting the best AI essay writing AI tool not only help with creating essays but also help us hone our writing skills by giving proper suggestions about grammar, sentence structure, tone, style, and word choice.

4. Reduces stress

Students often undergo a lot of pressure and stress because of deadlines and submissions. With the best AI essay generator, they help you write essays smarter thereby reducing stress and fear in no time.

5. Facilitates multidisciplinary research

AI essay writing tools foster interdisciplinary study through their ability to scan and combine knowledge from multiple domains. That way, it helps us quickly get a grasp of new subjects or topics without a heavy-lifting process.

6. Cost-effective

Most of the AI essay writing tools have lower pricing and also allow certain discounts for students. So, it is also a cost-effective approach to use AI writing tools.

The Top AI Essay Writing Tools and Their Features

Several AI essay writers are available based on the types of essays one would want to generate. Now, let's quickly understand the top 10 AI writing tools that generate essays within just a few minutes.

1. PerfectEssayWriter.ai

It is one of the best AI for essay writing that not only creates an essay but also comes up with advanced features including plagiarism detection, auto-referencing, and contextual analysis. As a result, it generates coherent essays that are well-researched and properly cited. It is best recommended for creating academic essays and essay outlines.

How does PerfectEssayWriter work?

Pick the right tool for your purpose — Go with an essay writer if you want to generate a full essay or choose the essay outliner if you want to create just the outline of the essay.
Enter your specific conditions and preferences. Add essay topic, academic level, essay type, number of pages, and special instructions, if any.
Click on “generate” and wait for the result
Once you have the essay generated, you can review, edit, or refine it and then download it.
Generates a large chunk of data up to 2000 words
Output is provided within 90 seconds
Provides a plethora of other tools like Citation generator, grammar checker, thesis statement generator, and more
Comes with 10+ essay writing templates
Subscription-based and not a free tool
Human review is a mandate

2. Essaybot - Personalized AI writing

Essaybot is the product of a reputed online essay-writing service, MyPerfectWords. It is meant to enhance academic essay writing and streamline the tasks of students. Its user friendly website makes it an instant and hassle-free essay generation saving a lot of time and effort for students.

How does Essaybot work?

Enter the essay title or topic
Click on “start writing” and wait for it to generate a well-reasoned essay.
The tools come for free
No sign-up is required
100% unique and High-quality output
Very limited features that lack advanced functionalities

3. FreeEssayWriter.net

FreeEssayWriter is an organization that provides essay-writing services to students worldwide. It has an AI essay typer tool — that helps you generate essays instantly. What sets this essay typer apart is its initiative to help students with their free essay writer providing the students with a 2-page free essay.

How does FreeEssayWriter.net work?

It works similarly to Essaybot, input the title or the topic of your essay and wait for it to generate the essay. They also have an option to edit and download a free version of the generated essay instantly.

Provides high-quality essays and is considered to be one of the reliable and trusted sources of information
Students can improve their writing skills and learn more about essays by referring to their free essay database or sources
Priority customer support is available 24*7
The site is not optimized for mobile devices
The quality of the essay output could still be improved

4. MyEssayWriter

This AI essay writing tool is no exception in terms of generating a high-quality essay. You can generate essays for various topics depending on the background of your research study. Be it academic or non-academic essay writing, this tool comes in handy.

How does MyEssay Writer work?

Add your preferences and then click on generate. It will give you a high-quality and 100% unique essay crafted based on your requirements.

The tool comes for free — no subscription is required
Knows for its consistency in the quality and the tone of the essay output
Also has a paid custom writing service that provides human-written essays
Might not provide quality output for complex and technical-based keywords or topic

5. College Essay AI

College essay AI stands unique as an ai writing tool as it not only uses an AI-based algorithm to generate essays but it also backs up the output as it is reviewed and approved by a team of professional experts. It is the best AI essay writing tool for college and graduate students where the output adheres to the graduate students' essay writing guidelines.

How does the College Essay AI generator work?

Input the required information — essay topic, academic level, number of pages, sources, and specific instructions, if any.
Click on “generate essay” and wait for the output
Conduct plagiarism and grammar check
Download the essay
High-level output for academic essay writing
Pocket-friendly premium plans
Doesn’t provide multiple sets of templates
Not quite suitable for non-academic essay writing

6. Jasper AI

Jasper AI has been the oldest player in the game of AI content writing. Fast forward to now, its features have been magnified with the inception of natural language processing algorithms and that’s how they are helping students write their essays as well. However, Jasper is the best AI tool for non-academic writing projects like content writing or creative writing.

How does Jasper AI work?

Choose a template — if you are about to write an essay, go with the “document”
Add your preferences
Click “compose” and get the output
Generates the essays instantly
Provides well-structured output according to the tone and style of your preferences
Not quite suitable for academic writing essays

7. Textero AI

Textero AI provides a few writing tools for students that facilitate their various academic papers and writing projects. Its essay generator helps you generate ideas for a full-length essay based on the topic and also suggests new topic ideas or thesis statement ideas for your academic assignments.

How does Textero AI work?

Click on “Essay Generator” located on the LHS (Left-hand Side)
Input the title and description based on which you want to generate the essay
Pick the right citation style
Click “generate” and wait for the output
It also provides other tools like an outline generator, and summary generator and has an AI research assistant that answers all your questions relevant to the research
The output is 100% unique and plagiarism and error-free
Might fail to provide an essay focussed on complex or technical topics

8. Quillbot

Though Quillbot is essentially built for paraphrasing and summarizing tasks. It comes as a rescue when you have to revamp, improvise, or refine your already-composed essay. Its co-writer helps you transform your thoughts and ideas and make them more coherent by rephrasing them. You can easily customize your text based on the customization options available.

How does Quillbot Paraphraser work?

Import or copy the content
Click on “Paraphrase” “Summarize” or “Suggest text” based on your requirement
Make the required customizations and save the document.
Offers a plethora of tools required for students
Both free and premium plans are available
Enhances vocabulary and language skills
Limited customization options with the free plan
Only supports the English language

9. SciSpace Paraphraser

SciSpace is the best AI tool that helps you fine-tune your essay. If you feel your essay writing needs AI suggestions to improve the language, vocabulary, writing styles, and tone of your essay, SciSpace is at your rescue. It has more customized options than Quillbot and improves your essay by rephrasing it according to the required or preferred writing style, and tone. This is a very good alternative to Quillbot.

How does SciSpace Paraphrasing work?

Simply paste the content to the screen
Choose the length and variation properly
Select the language
Click “Paraphrase”
Has 22 custom tones and all of them are available even on the free plan
Supports 75+ languages
Comes with an AI-detection report for English paraphrase output
Delay in the output

10. ChatGPT

It would be unfair if we talk about AI tools and do not enlist ChatGPT. When it comes to automated essay writing tasks, ChatGPT is not trivial. With proper prompts, you can automate the essay writing process and generate a well-crafted and coherent essay. However, the quality and the accuracy cannot be trusted as the model hallucinates and doesn’t include sources.

How does ChatGPT work?

Create a prompt based on your requirement
Ask ChatGPT to write an essay about your topic, specify conditions and preferences
Click enter and wait for the essay
Comes for free
Cannot rely on the output as the model hallucinates
Lacks the upgraded features that other essay-writing tools have

Concluding!

Writing essays can be a real struggle. But, the inception of the best AI essay-generation tools makes the entire writing process a lot easier and smoother. However, you should be extra vigilant while relying on these tools and consciously use them only as a technological aid. Because over-reliance on these AI tools could diminish student's writing skills and the user can become more gripped by the tools. So, use it wisely without affecting your knowledge and skills.

You can explore the above tools whenever you need any help with essay writing, and reap the benefits of them without compromising on the quality of your writing.

And! If you're stuck exploring multiple research papers or want to conduct a comprehensive literature review , you know which tool to use? Yes, it's SciSpace Literature Review, our AI-powered workspace, which is meant to make your research workflow easier. Plus, it also comes with SciSpace Copilot , our AI research assistant that answers any question that you may have about the research paper.

If you haven't used it yet, you can use it here !

Choosing the best AI for writing long-form essays depends on your requirements. Here are the top 5 tools that help you create long-form and college essays —

1. Free Essay Writer AI

2. College Essay AI

3. My Essay Writer

4. Textero AI

5. Perfect Essay Writer

The Perfect Essay Writer AI and Textero AI are the two best AI essay generators that help you write the best essays.

ChatGPT is not specifically built to assist you with essay writing, however, you can use the tool to create college essays and long-form essays. It’s important to review, fact-check the essay, and refer to the sources properly.

Essaybot is a free AI essay generator tool that helps you create a well-reasoned essay with just a click.

Unless your university permits it, using AI essay generators or writing tools to write your essay can be considered as plagiarism.

Beyond Google Scholar: Why SciSpace is the best alternative

Types of Literature Review — A Guide for Researchers

SciSpace or Connected Papers: An in-depth analysis

POV: Artificial Intelligence Is Changing Writing at the University. Let’s Embrace It

“If we want to dissuade students from using AI to help produce their writing, we need to treat writing differently,” says CAS writing program senior lecturer

Image: Photo of a young Black girl sits in library, typing on laptop for her assignment. She has various books and notes open in front of her on the table as she looks to her screen in concentration. Photo seen through White overlay that reads "POV".

Photo by jacoblund /iStock

“If we want to dissuade students from using AI to help produce their writing, we need to treat writing differently,” says CAS Writing Program senior lecturer

Christopher mcvey.

Writing is a cornerstone of a university education, and for good reason. It is not only a form of communication, but a means of discovery, recalling the old adage, “How do I know what I think until I see what I write?” What could be more central to the examined life? What skill could be more predictive of postgraduate career success than the ability to write well?

Many are beginning to worry, however, that writing in the university is under threat. Technological innovations have long been associated with the replacement of manual labor, but now—like the zombies in the postapocalyptic literature class I teach—they are coming for our brains. As noted by Slate , artificial intelligence (AI) programs that generate text have become so widely available and affordable that many are beginning to suspect students are using AI to write essays for their university classes. Jeff Schatten, an associate professor of business administration at Washington and Lee University, recently prophesized the coming plagiarism apocalypse in an article for the Chronicle of Higher Education titled “Will Artificial Intelligence Kill College Writing?”

How worried should we be? There is limited data on how often students make use of such software, but Schatten’s concerns seem justified. These new services generate content that is not traceable to any source and cannot be identified by current plagiarism-checking software. And the content AI can produce is startling in its specificity and organization. It makes piecemeal plagiarism—in which students casually copy writing from other sources into their own work—both efficient and fun.

For example, I recently used Sudowrite to see what would happen after prompting it to help me compose an essay about E. M. Forster’s 1909 short story, “The Machine Stops,” in which humans, living in a series of underground tunnels because the surface of the planet is no longer ecologically habitable, have become totally reliant upon an omniscient Machine. After I typed a few sentences to begin an essay on the story, Sudowrite generated the following suggested text to complete my paragraph: “While the Machine is the ‘handmaid’ that helps deliver things to the people, they have become so reliant on it that if the Machine shut down, they would die…. We find solace in the presence and use of these machines to help us with everything—they are our servants, our caretakers. We have stopped thinking for ourselves and simply rely on technological devices to do so for us.” Open the pod bay doors, Hal.

Undoubtedly, tools like Sudowrite will change the way that writing is assigned in our classes. But, speaking as a college writing instructor, I don’t think this is necessarily a bad thing.

Many college classes assign writing as a product-based endeavor: students complete an essay, turn it in, and receive a grade. But writing assessment is not synonymous with writing instruction, and the writing-as-product model does little more than punish or reward students for writing skills that they likely already had before even beginning the assignment. If we want to dissuade students from using artificial intelligence to help produce their writing, we need to treat writing differently. If we want to teach writing in our classes, if we want students to use writing as a deliberative, reflective space to facilitate critical thinking, innovation, and self-awareness, we need to move away from framing writing assignments as primarily product-based endeavors.

Writing programs across the country, like the one here at Boston University, have been at the forefront of this work for decades. Integrated into our classes is an emphasis on the writing process, including the intellectual work that happens before ever putting pen to paper (or finger to keyboard). We require students to develop drafts, to workshop their writing with other students, to meet with us individually in conferences to discuss their ideas and find a language to best convey them. Students always seem to have flashes of insight at 2 am, and no machine can replace me when they show up, bleary-eyed and unannounced, at my office door early the next day, eager to try out their ideas in conversation or to share the new paragraphs they wrote just as the sun was beginning to rise.

Recognizing that the kinds of writing skills students need extend well beyond the traditional academic essay, we are assigning new genres and new media: TED Talks, public intellectual essays, podcast episodes, video essays, and even live action role-playing to practice debate. Our newest courses emphasize design thinking as their central pedagogical orientation: students develop projects, individual or collaborative, that use writing across many media forms to experiment, innovate, and explore.

Some professors might complain that they do not have time for these kinds of assignments, that it is impossible to engage with students about their ideas over the course of multiple drafts. But, if this is true, why assign writing at all? If we regard writing as nothing more than a demonstration of proficiency, then our students will do the same, and will likely turn to AI to help them get the job done. If, instead, we dedicate ourselves and our assignments to something more—valuing writing as a messy and generative encounter with the self, a space in which we encourage students to discover what they think rather than only communicate it—then our students will, too. Writing at the university is changing. Let’s embrace it.

“POV” is an opinion page that provides timely commentaries from students, faculty, and staff on a variety of issues: on-campus, local, state, national, or international. Anyone interested in submitting a piece, which should be about 700 words long, should contact John O’Rourke at [email protected] . BU Today reserves the right to reject or edit submissions. The views expressed are solely those of the author and are not intended to represent the views of Boston University.

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Christopher McVey is a senior lecturer in the College of Arts & Sciences Writing Program and Kilachand Honors College; he can be reached at [email protected]. Profile

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There are 8 comments on POV: Artificial Intelligence Is Changing Writing at the University. Let’s Embrace It

Hi, this is a very interesting article and I agree with the points made. To be honest, I have never heard of the use of artifical intelligence in writing until this article. However, I completely agree that writing classes should not just be about hte end product, but also the process in between. As I am taking WR415 here at BU this semester, I really appreciate the drafts, the peer edits, the conferences, and the evening events. We are doing different forms of writing such as Ted Talk and editing a wikipedia page, rather than traditional paper/research paper. It really makes me feel better about writing as a whole. Thank you for bringing this to light and I hope more professors and students can realize that writing classes should not be all about the end product.

I also am in a WR415 class at BU this semester, and have never myself used an AI to help me write. To be honest, I don’t even know how to go about finding such a thing. I also really appreciate the diversity in the types of writing we do for the class, but honestly I am sometimes worried that I still am lacking the more “tradition” writing skills that AI seems to have mastered. Even though our WR415 class doesn’t emphasize or place importance on this style of traditional academic writing, so much of the rest of the world/academia still does. Hopefully that will change, but for now I still do have classes that require research papers and assume you know the language styles associated with stricter-form writing.

This class has been my favorite writing class I’ve ever taken because of the emphasis it has placed on writing for the sake of writing and expression as supposed to writing that forces ideas to be crammed into the same paragraph structure and higher-ed vernacular. I hope that more writing within universities and professional settings embrace more open-form pieces. I can’t help but be pessimistic, however, and worry that I still would benefit from memorizing the rules of the 5-paragraph essay and “proper” (whatever that may mean) order of reasoning.

I think this is a very interesting article and brings up many important ideas for educators and students to consider. I had heard of using artificial intelligence to write essays before and I assumed some students may use it to write their papers for classes, but I didn’t give much thought to it because I would never use it for that purpose. I first heard about this idea on social media, which I think highlights how easily this can be targeted at high school and college students because they are often on social media and all have to take a certain amount of writing classes to graduate. I have never used AI to write and don’t know anything about how it works or the quality of the writing produced, so it was very helpful that you included an example of you using it. I have never read the short story you used, so I can only comment to a limited extent. From the description you provided and the example from AI, I can see why many students who just want to pass a class or receive a decent grade with little work would turn to AI to write their essays. I agree that the way writing is assigned should be changed not only to discourage students from using AI, but to increase their learning and improve their writing skills. From personal experience, I enjoy writing class more when the focus is on the process of thinking of an idea, developing drafts, and revising drafts with the help of feedback from other students and my professor. When the focus is on the end product and what grade the professor thinks it deserves, I don’t learn much about how to improve my writing and I’m not motivated to either. Although I believe learning how to write academic essays is important and should be a necessary skill for college graduates to have, I also agree that there is a lot of value in learning other genres. If you come across or have any more data about how many students use AI, I would be interesting in reading it. I would also be interested in hearing more about your knowledge and thoughts on if AI can write non-academic genres as well as academic essays. If it can, based on your teaching experience, do you think students would still turn to AI to write their assignments in non-academic genres as much as in academic ones?

First of all, it is surprising to know that artificial intelligence has already developed to such level that can assist students in college writing. Nevertheless, it is also not surprising since recently I learned that AI drawing existed and it is somehow similar to AI writing. In addition to writing plain words to form an essay to submit, to me a core part of writing consists of researching evidence and peer reviewing. AI may identify the theme or keywords and generate words in a specific genre, but sometimes people like to see words writing in a new style. The thing that separates AI and human is creativity. If we could encourage students to express creativity in writing courses, either through various media or different genre, then we shouldn’t be worrying about AI taking control of college writing courses.

I think this is a fair point, but I disagree. A common mistake in analyzing AI advances is to assume that the limitations of current models are inherent, and not temporary. After the release of the first large language model, GPT-3, people noticed that eliciting high quality completions from the model was possible, but took many tries and substantial skill. This was dubbed “prompt engineering,” and commentators suggested that skill at writing itself would be supplanted with skill at prompt engineering. But this was disproven with the recent ChatGPT, where asking the model to perform tasks is straightforward and requires little careful wordplay. The original GPT-3, while capable, was never trained to be helpful or accurate, only to be good at predicting text completions – all it took to fix that was “incentivizing” it to (a technique called RLHF).

Requiring students to, say, write about forms of media that current models cannot currently handle (video, podcasts, etc), is only a very short-term fix. This is in fact the next step in the roadmap for multiple major research groups, something that researchers in the field call “multimodality.” Rumors have it that GPT-3’s successor, GPT-4, will be multimodal, with a release window between December and February.

Any other fixes will be similarly temporary. The explicit goal of OpenAI, DeepMind, and the collective billions of dollars pouring into the field, is the development of AI systems capable of carrying out all economically valuable human activity. I don’t expect them to halt progress when it’s no longer convenient for the rest of us.

I hate to be so pessimistic, but I think the sad truth is that there is no easy fix. We are on the cusp of AI systems exceeding human performance across a wide swath of tasks, and it may simply be the case that writing as we know it today is not something humans do much of in the future – if we are even around at all.

Hi Zach–

I don’t expect them to halt progress, either. I fully expect that future iterations of this technology will become so fundamental to daily life that we’ll look back at this moment and laugh. We’ll say, “Remember how we thought it was so amazing that we could ask our Amazon Alexa device to turn on the lights or tell us the weather? Remember how we worried about social media disinformation campaigns run by /real humans/ sitting in a warehouse somewhere on the other side of the world, and not just by thousands of chatbots?”

The point is not to develop “plagiarism proof” writing assignments; there has always been student cheating and there will always be student cheating, in one way or another. Rather, the point I hope to make is that we should seize this moment as an opportunity to think about what good pedagogy actually means: engaging with students not as workers who produce knowledge products for assessment and valuation, but rather as whole people worthy of full dialogue and intellectual exchange that can’t happen in “submit and done” writing assignments or traditional forms of grading. And I think this moment of disruption or change can be a real opportunity for positive transformation in the academy, as much as it presents new challenges.

Hmm (sound of hard drive whirring). I wonder if AI-generated essays are inherently different from search-engine generated sources (MLA Bibliography; LC, ProQuest etc.). Or if search-engine generated searches are inherently different from print volumes of secondary criticism. Or if books themselves . . .

The real and lasting threat to public education, it seems to me, is the very idea of a “classroom,” instead of an old Greek sitting down with two or three pupils and guiding them through a lifetime of instruction.

In the short term, returning to the blue-book and pen will dispel most of the AI threat–if institutions are willing to provide adequate faculty to read what students actually can write when they sit down with pen and ink.

He cites Microsoft as an investor in OpenAI: “So Microsoft is going to want to get its investment back by integrating these into Microsoft Word and into other tools. So you’re just going to see them used routinely, and it’s just going to be part of the writer’s repertoire”.

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Writing and Artificial Intelligence

Three college students are working on a writing assignment. A robot is assisting them with their work.

We’re including this guide to “Writing with AI” in Write What Matters because it’s clear that generative AI tools, including platforms such as ChatGPT, are beginning to transform what writing instruction looks like in higher education. As this emerging technology continues to reshape what it means to practice writing, there’s no real consensus on how these tools should be used—or whether they should be used at all. Some students and faculty actively avoid generative AI in the classroom. Others are not yet familiar with the wide range of tools and capabilities available to students and instructors. And some are embracing these new tools and actively experimenting with them.

Regardless of how you are currently using or not using AI in your classroom, all of us are feeling the impact.

What this guide does not do

This guide does not offer suggestions for how students or educators should use large language models (LLMs)—such as ChatGPT, Google Bard, Microsoft Bing, or Claude’s Anthropic—in their writing process. As faculty ourselves, we understand the need to slow down and consider new tools critically. A deliberate and critical approach to generative AI is particularly important, since tools such as ChatGTP struggle with accuracy and hallucination, foster bias and censorship, and can easily become a substitute for thinking.

At this moment, most colleges are developing guidance or policies around AI use in the classroom. In addition, instructors may have careful wording in their course syllabus about what constitutes acceptable vs. non-acceptable uses of AI. Students should become familiar with their institution’s and instructor’s AI policies as they navigate the AI landscape.

For example, at the College of Western Idaho, school syllabi now include the following language:

Practicing academic integrity includes, but is not limited to, non-participation in the following behaviors: cheating, plagiarism, falsifying information, unauthorized collaboration, facilitating academic dishonesty, collusion with another person or entity to cheat, submission of work created by artificial intelligence tools as one’s own work, and violation of program policies and procedures.

Departments, instructors, and students will need to collectively decide how their specific “writing with AI” practices relate to this broad policy. For example, how should Quillbot’s paraphrasing and co-writing capabilities be classified? Should students be allowed to use Grammarly (or even Word’s build in grammar checker) to correct their grammar and syntax?

What this guide aims to do

The purpose of this guide is to offer an accessible introduction to writing with AI for dual enrollment and first-year college students. In the following chapters, students will:

understand how large language models (LLMs) such as ChatGPT are trained to generate text;
understand the limitations, risks, and ethical considerations associated LLMs;
become acquainted with the range of AI platforms and applications that can assist writing;
better understand how to prompt LLM chatbots such as ChatGPT;
become familiar with how to cite and acknowledge the use of generative AI in the classroom.

Because this information is being presented to students within the context of a writing textbook, faculty who adapt this information may want to add to or revise this content so that it better fits their own academic discipline.

Updates to this textbook section

The practice of working and writing with AI is evolving rapidly. As soon as this section is published, it will be somewhat outdated. The affordance of OER, however, allows us to update this textbook more frequently than a traditional textbook. We intend to regularly maintain this section and will update as needed.

Write What Matters Copyright © 2020 by Liza Long; Amy Minervini; and Joel Gladd is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Automated Essay Writing: An AIED Opinion

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Published: 02 August 2022
Volume 32 , pages 1119–1126, ( 2022 )

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This opinion piece emerged from research for the book, Story Machines: How Computers Have Become Creative Writers , by Mike Sharples and Rafael Pérez y Pérez, published by Routledge. While thinking of ways to promote the book, I realised that students could employ AI story generators to write essays. That led me to research automated essay writing, write a Twitter thread that has garnered 43,000 engagements, and author a blog article (Sharples, 2022 ). The current piece is a revised and expanded version of that article.

A large-scale comparison of human-written versus ChatGPT-generated essays

Steffen Herbold, Annette Hautli-Janisz, … Alexander Trautsch

Reading Between the Lines: Using Plot Graphs to Draw Inferences from Stories

Can Users Distinguish Narrative Texts Written by an Artificial Intelligence Writing Tool from Purely Human Text?

Avoid common mistakes on your manuscript.

Essay Writing with Transformer AI Systems

Essays have formed part of academic assessment since the early 19th century, when students in some European universities were required to write scholarly papers for discussion in seminars (Kruse, 2006 ). Academic essays continue to be a mainstay of assessment in schools, colleges and universities because they are easy to set, assess depth of understanding, and train students in how to express an argument. In recent years, the scope of written assignments has expanded to include narrative, argumentative, reflective, expressive, responsive and analytical papers.

The widespread practice of setting written assignments as coursework has been criticised as laborious and unfair (Race, 2018 ). It is also subject to contract cheating through “essay mills” that sell written assignments to order, at fees of up to £400 for writing a 20-page essay Footnote 1 . A study by Newton ( 2018 ) found that 15.7% of students surveyed admitted to paying someone else to write an assignment. Now, an unintended consequence of generative “Transformer” AI systems such as GPT-3 is that they democratise cheating. A student can generate an entire essay in seconds, at a cost of around 50 US cents Footnote 2 . Equally worrying, would-be academic researchers can call on these systems to generate articles for submission to conferences and journals.

How do such Transformer AI systems work? How can we detect whether an academic essay has been written by an AI? Could any good come from widespread use of such technology? What does this mean for the AIED community?

How Does a Transformer AI Work?

Take time to read this brief undergraduate student essay on “A Critique of Learning Styles”. If this were your student, how would you assess the written work? What mark would you give? What are its strengths and weaknesses?

The construct of “learning styles” is problematic because it fails to account for the processes through which learning styles are shaped. Some students might develop a particular learning style because they have had particular experiences. Others might develop a particular learning style by trying to accommodate to a learning environment that was not well suited to their learning needs. Ultimately, we need to understand the interactions among learning styles and environmental and personal factors, and how these shape how we learn and the kinds of learning we experience. Learning Styles and Learning Modes In the 1970s, learning styles became an important feature of educational practice. In the 1990s, “learning modalities” became a major focus of learning style research. This is the idea that we process information in different ways. For example, some individuals may be auditory learners, benefiting from listening to lectures and using recorded materials. Others may be visual learners, who gain from using visual materials such as textbooks, handouts, and computer graphics. Still others may be kinesthetic learners, who benefit from learning by movement and doing. Numerous experiments have been conducted to test this idea, and a number of different classifications of learning modalities have been proposed. In a review of this research, Dunn and Dunn (1997) found that the evidence does not support the idea that people have a particular learning mode that is dominant or that they process information in a particular way. In their study, the authors found that when students were given a particular instructional treatment, they could be classified in a particular learning modality category. But when they were given a different instructional treatment, they were classified in a different category. In a follow-up study in which they gave students a number of instructional treatments, Dunn and Dunn found that students could be placed in a particular category in some treatments, but not others. Dunn and Dunn also found that the results varied by age. Older students generally fit the results of more than one modality, whereas younger students were more likely to fit the results of just one modality. This led them to conclude that style preferences are learned over the course of development. This is consistent with the idea that people are flexible in responding to the way they are taught. References Dunn, R., & Dunn, K. (1997). Learning styles: Research and practice. Journal of Research in Education, 7(2), 139–151.

The entire essay was written by GPT-3, a Transformer AI program. It was given the prompt “The construct of ‘learning styles’ is problematic because” and it generated the rest, including heading and citation. The text shown here is the first attempt. The reference at the end was generated by adding the prompt “References” to the end of the text and resubmitting.

Gaining access to GPT-3 is straightforward. Anyone with internet can sign up to the OpenAI website Footnote 3 , gain an account, click the “Playground” tab, type a prompt such as the title of an essay, set the maximum length of output (up to 4000 language “tokens”, or approximately 3000 words) and click the Submit button. A few seconds later, the system produces a typed and formatted text. Some companies are already promoting AI-based essay writing services Footnote 4 .

GPT-3 works like a highly trained text completer of the kind found on mobile phones and email interfaces. Instead of looking back at the last few characters and using these to predict the next word or two, it can attend to the previous 750 words it has written, to continue an entire short story, blog, or student essay. The same program can also summarise a scientific article in simpler language, write a review, translate languages, and answer general questions. In short, a Transformer AI is a general-purpose language machine.

How Can We Detect Whether An Essay is Written by a Transformer AI System?

Plagiarism software will not detect essays written by Transformers, because the text is generated, not copied. A Google search shows that each sentence in the essay above is original. Two plagiarism detectors each indicated over 95% original text Footnote 5 .

What better way to discover whether the essay is written by human or machine than to ask GPT-3? Here is its response when presented with the essay above and the prompt “Was that essay written by a human or a computer?”.

It is difficult to say for certain, but it seems more likely that it was written by a computer. The language is very technical and does not seem to flow smoothly. In addition, the ideas are presented in a very concise, bullet-point style, which is often seen in computer-generated texts.

Impressive, yet it gave a similar response when presented with the introduction to a highly-cited research paper written by Sharples (Sharples, 2010 ), claiming it “does exhibit some characteristics that are often associated with AI-generated text, such as a lack of clear authorial voice and a somewhat stilted, awkward style of writing”. Rather than attempt further embarrassing comparisons, we note that any sufficiently powerful program to determine whether a piece is written by human or machine could frequently be outwitted by an equally powerful AI text generator, in a futile computational arms race.

Humans fare no better than machines at detecting AI-generated essays. In a small study by EduRef.net Footnote 6 , college professors were asked to grade essays produced by human writers and by GPT-3, without being informed that any piece was generated by machine. For a Research Methods topic, the machine-written essay was given a grade of C, while the human essays were graded B and D. For US History, machine and human were given similar grades. For a Law essay, GPT-3 was graded B-, while the human essays ranged from A- to F. For one topic, Creative Writing, the machine essay was failed, while human-written essays were graded from A- to D+. The professors gave similar written feedback to the machine productions as to human writers.

A comprehensive study of state-of-the-art methods to determine if a piece of extended text is human-written or machine-generated concludes that “humans detect machine-generated texts at chance level” and that for AI-based detection “overall, the community needs to research and develop better solutions for mission-critical applications” (Uchendu et al., 2021 ). Students employ AI to write assignments. Teachers use AI to assess and review them (Lu & Cutumisu, 2021 ; Lagakis & Demetriadis, 2021 ). Nobody learns, nobody gains.

On the surface, our sample text appears to be a mediocre to good (though very short) student essay. It is correctly spelled, with good sentence construction. It begins with an appropriate claim and presents a coherent argument in support, backed up by evidence of a cited research study. The essay ends with a re-statement of the claim that learning styles are flexible and change with environment.

But look more closely and the paper falls apart. It references “Dunn, R., & Dunn, K. (1997). Learning styles: Research and practice. Journal of Research in Education, 7(2), 139–151.” There is a journal named Research in Education , but no issue 7(2) in 1997. Dunn & Dunn did publish research on learning styles, but not in that journal. GPT-3 has fashioned a plausible-looking but fake reference. The program also appears to have invented the research study it cites. We can find no research study by Dunn and Dunn which claims that learning styles are flexible, not fixed.

To understand why a Transformer AI program should write plausible text, yet invent references and research studies, we turn to the seminal paper written by the developers of GPT-3. In a discussion of its limitations, the authors write: “large pretrained language models are not grounded in other domains of experience, such as video or real-world physical interaction, and thus lack a large amount of context about the world” (Brown, et al. 2020 , p.34). Transformers are models of language not experiential knowledge. They are not designed to be scholarly – to check academic references and ensure that evidence is grounded in fact. In human terms, they are essentially inexperienced, unthinking and amoral. They have no ability to reflect on what they have written, to judge whether it is accurate and decent.

OpenAI has provided an add-on to GPT-3 that filters bad language. However, it is unlikely that the company will produce tools to check for accuracy. Its focus is on artificial general intelligence not education. Other companies could, in the future, provide tools to check generated references for accuracy or add genuine references to an article. But these would not overcome the fundamental limitation of Transformer language models such as GPT-3: that they have no internal inspectable model of how the world works to provide a basis for the system to reflect on the accuracy and scholarship of its generated work. Research is in progress to develop explainable neural AI (Gunning et al., 2019 ) and hybrid neural/symbolic AI systems (Garcez & Lamb, 2020 ) that might address this problem.

Could Any Good Come from Widespread Use of Such Technology?

Transformer AI systems belong to an alternative history of educational technology, where students have appropriated emerging devices – pocket calculators, mobile phones, machine translation software, and now AI essay generators – to make their lives easier. The response from teachers and institutions is a predictable sequence of ignore, resist, then belatedly accommodate.

It will be hard to ignore the growing number of students who submit assignments written by AI. Turnitin, the leading plagiarism checking company, admits that “we’re already seeing the beginnings of the oncoming AI wave … when students can push a button and the computer writes their paper” (Turnitin, 2020 ). As we have already indicated, resisting AI-generated assignments by deploying software to detect which ones are written by machine is likely to be a futile exercise. How, then, can we accommodate these new tools?

Teachers could restrict essay assignments to invigilated exams, but these are formal and time consuming. Alternatively, they could set reflective and contextualised written assignments that could not be generated by AI. For example, a teacher could set each student an independent research project, then ask for a written report on that specific project, give the student feedback on the report, then ask for the student to write a critical reflection on the feedback and issues raised by the project.

An imaginative way to incorporate AI-generated text into teaching could be for the teacher to employ Transformer AI to generate a set of alternative essays on a topic, then ask students to critique these and write their own better versions. Or set a complex question then ask each student to generate AI responses to the question and for the student to evaluate these responses in relation to the marking criteria. The student would then write an integrative essay drawing on the AI answers to address the original question. Footnote 7

Transformer AI can be a tool for creative writing. For example, the student writes a first paragraph, the AI continues with the second paragraph, and so on. The AI writing partner helps maintain a flow of words and also takes the story in unexpected directions, to which the student must respond. Generating a few alternative continuations to a story may help a student writer see creative writing not as a linear progression, but an exploration of a space of possibilities.

AI assisted writing exercises could focus on skills of critical reading, accuracy, argumentation and structure. Assignments where AI is not allowed could be assessed for style, expression, voice and personal reflection.

Additionally, teachers could explore with students the ethics and limits of generative AI. How does it feel to interact with an expert wordsmith that has no intrinsic morals and no experience of the world? Is writing with AI tantamount to plagiarism (Fyfe, 2022 ).

What Does This Mean for the AIED Community?

Reviewers for IJAIED will not be able to avoid the challenge of assessing whether a submitted article has been written with the aid of an AI system. As an exercise, we generated an entire short research paper. First, we chose at random the title of a real paper published in IJAIED: “Domain-Specific Modeling Languages in Computer-Based Learning Environments: a Systematic Approach to Support Science Learning through Computational Modeling” (Hutchins et al., 2020 ). Then we used GPT-3 to generate three alternative Abstracts, just from the title. We chose a generated abstract for a “review paper”. Then, we added to the abstract the heading “Introduction” and requested GPT-3 to generate the paper. We followed with a prompt of “Discussion” and then “References”, which GPT-3 added in neat APA format. Finally, we presented GPT-3 with just the newly generated Abstract and requested it to generate a new title for the paper. It responded with: “Using Domain-Specific Modeling Languages to Support Science Learning: A Review of the Literature”.

The result is an original 2,200 word “academic paper” produced in under five minutes. The output can be read at https://t.co/RTxogLRlJT . It will probably not pass a first Editor’s review but is a harbinger of a flood of papers generated with the aid of AI. IJAIED will not be the only journal to receive papers produced wholly or partly by AI, but we are well placed to lead a debate on how to detect and deal with them.

A related issue is how to respond to genuine papers in the general area of AI Transformer systems in education. Should we publish papers on new tools to automate essay writing, or software to detect AI-generated essays? Where is the dividing line between promoting competition between AI generators and detectors, and enabling new forms of academic writing assisted by generative AI?

This could be a pivotal time for education, as students equip themselves with powerful new AI tools that substitute for what some perceive as the drudgery of assessment. These will not just write essays for students but answer complex questions and generate computer code (Bombazine et al., 2021 ). An education system that depends on summative written assessment to grade student abilities may have reached its apotheosis.

Every new educational technology arrives with affordances and limitations. AI Transformer technology is a powerful general-purpose language model that is already becoming embedded in education through chatbots, text summarisers, language translators, and now essay generators and tools for creative writing. The AIED community is well placed not only to debate the application of these systems to education, but to design new generative AI tools for writing, reasoning and conversation for learning.

https://www.essaymills.co.uk/pricing .

https://openai.com/api/pricing/ . The cost to access the most powerful GPT-3 model is US$0.06 for 1000 tokens (or approximately 750 output words).

https://openai.com/api/ .

https://www.nichepursuits.com/best-ai-essay-writers/ .

https://plagiarismdetector.net/ , https://smallseotools.com/plagiarism-checker/ . The example essay has now been published online, so plagiarism detectors no longer indicate it as original.

https://best-universities.net/features/what-grades-can-ai-get-in-college/ .

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Published: 12 August 2020

Next chapter in artificial writing

Nature Machine Intelligence volume 2 , page 419 ( 2020 ) Cite this article

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Science, technology and society

OpenAI released a beta version of its language model, GPT-3. As artificial writing permeates our lives, the challenge is how to think clearly about what it is and what impact it could have on society.

OpenAI, the artificial intelligence (AI) company, published a research paper in May 2020 on GPT-3, the latest version of its generative language model. More recently, OpenAI released a private beta version of GPT-3 to select users and made its API available by request . Responses in articles and social media have been swift and often laudatory, describing it as the “ world’s most impressive AI ” and “ terrifyingly good ”.

GPT-3 is a language model based on neural networks. The transformer-based model and architecture is similar to GPT-2, but the model size and dataset of GPT-3 is roughly two orders of magnitude larger. GPT-3 is trained with 175 billion parameters, using data from CommonCrawl, WebText, internet-based books corpora and English-language Wikipedia. Like GPT-2, GPT-3 can predict, or suggest, the next word or paragraph given a prompt of just a few words. This type of one-or zero-shot learning goes beyond previous natural language processing models which need many labelled examples to perform a new type of task.

Much of the buzz about GPT-3 has focused on its ability to generate text using the ‘text in, text out’ interface of the API. Users can enter a word or phrase, and text emerges. GPT-3 is so good at this that it can generate synthetic news articles that seem to be written by humans. It is easy to imagine how the technology could have a positive impact, for example, by creating sophisticated bots to assist people, providing text to compose e-mails, overcoming writer’s block, facilitating learning between teachers and students, helping people with language disorders communicate in writing, and even writing code. It is important to note that the OpenAI paper reports the performance of GPT-3 on language tasks other than text generation, including its ability to answer general knowledge questions, to translate between languages, to perform common sense reasoning and reading comprehension tasks, and so on.

There are downsides to GPT-3, and important questions about its impact on society. The OpenAI researchers discuss these issues in their paper, such as GPT-3 being used for spam, phishing, misinformation and fraudulent academic essay writing. The authors also present preliminary analyses on the limitations of GPT-3 with respect to fairness, bias, and representation. The fundamental issue here is that GPT-3 is trained on data from the internet, with its inherent biases in race, gender, religion, and other subjects. Prominent voices such as Jerome Pesenti (VP of AI at Facebook) and Anima Anandkumar (professor at Caltech and director of Machine Learning Research at NVIDIA) took to Twitter to raise concerns about bias in GPT-3 and language models, including examples of toxic language generated by GPT-3 when prompted with words such as Jews, black and women. OpenAI is aware of the problem and has introduced a toxicity filter to check GPT-3’s output. But this ignores the question of whether it is a responsible strategy in the first place to train language models by taking any data from the web simply because it is available, including from sources such as Reddit. The obvious risk is amplification of unchecked and harmful biases.

Another concern is the substantial compute time and energy impact of language models. This issue was raised last year in a paper by Emma Strubell and colleagues (see also our News Feature this month on the carbon impact of artificial intelligence) who calculated that training a ‘big’ transformer language model has the same carbon impact as five US cars over their lifetime, including fuel. Of course, GPT-3 is much bigger, with orders of magnitude more parameters, although calculating the carbon impact requires more details on the design process and hardware infrastructure. In their paper, the OpenAI authors only spend one and a half paragraphs on energy usage, in which they acknowledge the need to consider energy impact but also argue that once trained, GPT-3 is very efficient.

At a more philosophical or conceptual level, debates are raging about the degree to which such an AI tool can be called intelligent, or even scientific, rather than a clever engineering feat. One loose definition of AI is that it can perform tasks that people consider intelligent when done by humans, such as creative writing. On the other hand, literally ascribing intelligence to technology must be done with care. With its apparent ability to artificially read and write, GPT-3 is perhaps different from other forms of AI, in that writing seems more fluid, open-ended, and creative than examples of AI that can beat people in a game or classify an image. But what kind of ‘writer’ or writing tool is GPT-3? It has no consciousness, no motivation, no experience, no moral compass, no vision, no human connections and no humanity.

Despite lacking these qualities, GPT-3’s text-generation abilities are remarkable and amazingly versatile. From a selection taken from Twitter, users of the recent ‘text-in, text-out’ interface have experimented with deploying GPT-3 for mocking-up websites , writing machine learning code in Keras and of course producing creative writing, including comedy . There might be a ‘killer application’ that has not even been found yet.

At the same time, there is much work to be done to reflect on and tackle the downsides of this new tool that, like any AI technology, risks amplifying existing societal injustices and can be used in harmful ways. For the next generation of language models, it seems urgent to focus on compute and energy impact, as well as the need to incorporate more diversity and quality control.

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Illustration on feature about AI use in universities.

‘Full-on robot writing’: the artificial intelligence challenge facing universities

AI is becoming more sophisticated, and some say capable of writing academic essays. But at what point does the intrusion of AI constitute cheating?

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“Waiting in front of the lecture hall for my next class to start, and beside me two students are discussing which AI program works best for writing their essays. Is this what I’m marking? AI essays?”

The tweet by historian Carla Ionescu late last month captures growing unease about what artificial intelligence portends for traditional university assessment. “No. No way,” she tweeted. “Tell me we’re not there yet.”

But AI has been banging on the university’s gate for some time now.

In 2012, computer theorist Ben Goertzel proposed what he called the “robot university student test” , arguing that an AI capable of obtaining a degree in the same way as a human should be considered conscious.

Goertzel’s idea – an alternative to the more famous “Turing test” – might have remained a thought experiment were it not for the successes of AIs employing natural language processing (NLP): most famously, GPT-3 , the language model created by the OpenAi research laboratory.

Two years ago, computer scientist Nassim Dehouche published a piece demonstrating that GPT-3 could produce credible academic writing undetectable by the usual anti-plagiarism software.

“[I] found the output,” Dehouche told Guardian Australia, “to be indistinguishable from an excellent undergraduate essay, both in terms of soundness and originality. [My article] was initially subtitled, ‘The best time to act was yesterday, the second-best time is now’. Its purpose was to call for an urgent need to, at the very least, update our concepts of plagiarism.”

He now thinks we’re already well past the time when students could generate entire essays (and other forms of writing) using algorithmic methods.

“A good exercise for aspiring writers,” he says, “would be a sort of reverse Turing test: ‘Can you write a page of text that could not have been generated by an AI, and explain why?’ As far as I can see, unless one is reporting an original mathematics theorem and its proof, it is not possible. But I would love to be proven wrong.”

Many others now share his urgency. In news and opinion articles, GPT-3 has convincingly written on whether it poses a threat to humanity ( it says it doesn’t ), and about animal cruelty in the styles of both Bob Dylan and William Shakespeare.

A 2021 Forbes article about AI essay writing culminated in a dramatic mic-drop: “this post about using an AI to write essays in school,” it explained, “was written using an artificial intelligence content writing tool”.

Of course, the tech industry thrives on unwarranted hype. Last month S Scott Graham in a piece for Inside Higher Education described encouraging students to use the technology for their assignments with decidedly mixed results. The very best, he said, would have fulfilled the minimum requirements but little more. Weaker students struggled, since giving the system effective prompts (and then editing its output) required writing skills of a sufficiently high level to render the AI superfluous.

“I strongly suspect,” he concluded, “full-on robot writing will always and forever be ‘just around the corner’.”

That might be true, though only a month earlier, Slate’s Aki Peritz concluded precisely the opposite, declaring that “with a little bit of practice, a student can use AI to write his or her paper in a fraction of the time that it would normally take”.

Nevertheless, the challenge for higher education can’t be reduced merely to “full-on robot writing”.

Universities don’t merely face essays or assignments entirely generated by algorithms: they must also adjudicate a myriad of more subtle problems. For instance, AI-powered word processors habitually suggest alternatives to our ungrammatical phrases. But if software can algorithmically rewrite a student’s sentence, why shouldn’t it do the same with a paragraph – and if a paragraph, why not a page?

At what point does the intrusion of AI constitute cheating?

Deakin University’s Prof Phillip Dawson specialises in digital assessment security .

He suggests regarding AI merely as a new form of a technique called cognitive offloading.

“Cognitive offloading,” he explains, is “when you use a tool to reduce the mental burden of a task. It can be as simple as writing something down so you don’t have to try to remember it for later. There have long been moral panics around tools for cognitive offloading, from Socrates complaining about people using writing to pretend they knew something, to the first emergence of pocket calculators.’

Dawson argues that universities should make clear to students the forms and degree of cognitive offloading permitted for specific assessments, with AI increasingly incorporated into higher level tasks.

“I think we’ll actually be teaching students how to use these tools. I don’t think we’re going to necessarily forbid them.”

The occupations for which universities prepare students will, after all, soon also rely on AI, with the humanities particularly affected. Take journalism, for instance. A 2019 survey of 71 media organisations from 32 countries found AI already a “significant part of journalism”, deployed for news gathering (say, sourcing information or identifying trends), news production (anything from automatic fact checkers to the algorithmic transformation of financial reports into articles) and news distribution (personalising websites, managing subscriptions, finding new audiences and so on). So why should journalism educators penalise students for using a technology likely to be central to their future careers?

“I think we’ll have a really good look at what the professions do with respect to these tools now,” says Dawson, “and what they’re likely to do in the future with them, and we’ll try to map those capabilities back into our courses. That means figuring out how to reference them, so the student can say: I got the AI to do this bit and then here’s what I did myself.”

Yet formulating policies on when and where AI might legitimately be used is one thing – and enforcing them is quite another.

Dr Helen Gniel directs the higher education integrity unit of the Tertiary Education Quality and Standards Agency (TEQSA), the independent regulator of Australian higher education.

Like Dawson, she sees the issues around AI as, in some senses, an opportunity – a chance for institutions to “think about what they are teaching, and the most appropriate methods for assessing learning in that context”.

Transparency is key.

“We expect institutions to define their rules around the use of AI and ensure that expectations are clearly and regularly communicated to students.”

She points to ICHM, the Institute of Health Management and Flinders Uni as three providers now with explicit policies, with Flinders labelling the submission of work “generated by an algorithm, computer generator or other artificial intelligence” as a form of “contract cheating”.

But that comparison raises other issues.

In August, TEQSA blocked some 40 websites associated with the more traditional form of contract cheating – the sale of pre-written essays to students. The 450,000 visits those sites received each month suggests a massive potential market for AI writing, as those who once paid humans to write for them turn instead to digital alternatives.

Research by Dr Guy Curtis from the University of Western Australia found respondents from a non-English speaking background three times more likely to buy essays than those with English as a first language. That figure no doubt reflects the pressures heaped on the nearly 500,000 international students taking courses at Australian institutions, who may struggle with insecure work, living costs, social isolation and the inherent difficulty of assessment in a foreign language.

But one could also note the broader relationship between the expansion of contract cheating and the transformation of higher education into a lucrative export industry. If a university degree becomes merely a product to be bought and sold, the decision by a failing student to call upon an external contractor (whether human or algorithmic) might seem like simply a rational market choice.

It’s another illustration of how AI poses uncomfortable questions about the very nature of education.

Ben Goertzel imagined his “robot university student test” as a demonstration of “artificial general intelligence”: a digital replication of the human intellect. But that’s not what NLP involves. On the contrary, as Luciano Floridi and Massimo Chiriatti say , with AI, “we are increasingly decoupling the ability to solve a problem effectively … from any need to be intelligent to do so”.

The new AIs train on massive data sets, scouring vast quantities of information so they can extrapolate plausible responses to textual and other prompts. Emily M Bender and her colleagues describe a language model as a “stochastic parrot”, something that “haphazardly [stitches] together sequences of linguistic forms it has observed in its vast training data, according to probabilistic information about how they combine, but without any reference to meaning”.

So if it’s possible to pass assessment tasks without understand their meaning, what, precisely, do the tasks assess?

In his 2011 book For the University: Democracy and the Future of the Institution , the University of Warwick’s Thomas Docherty suggests that corporatised education replaces open-ended and destabilising “knowledge” with “the efficient and controlled management of information”, with assessment requiring students to demonstrate solely that they have gained access to the database of “knowledge” … and that they have then manipulated or “managed” that knowledge in its organisation of cut-and-pasted parts into a new whole.

The potential proficiency of “stochastic parrots” at tertiary assessment throws a new light on Docherty’s argument, confirming that such tasks do not, in fact, measure knowledge (which AIs innately lack) so much as the transfer of information (at which AIs excel).

To put the argument another way, AI raises issues for the education sector that extend beyond whatever immediate measures might be taken to govern student use of such systems. One could, for instance, imagine the technology facilitating a “boring dystopia” , further degrading those aspects of the university already most eroded by corporate imperatives. Higher education has, after all, invested heavily in AI systems for grading , so that, in theory, algorithms might mark the output of other algorithms, in an infinite process in which nothing whatsoever ever gets learned.

But maybe, just maybe, the challenge of AI might encourage something else. Perhaps it might foster a conversation about what education is and, most importantly, what we want it to be. AI might spur us to recognise genuine knowledge, so that, as the university of the future embraces technology, it appreciates anew what makes us human.

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AI Writing: What Is It And How Does It Work?

Artificial intelligence has been all the buzz since ChatGPT came into the mainstream in November 2022. The question of how we should ethically use AI in our everyday lives has been asked in academic and professional circles alike. Understanding AI writing software and how it works is an important part of knowing what you can and should be using it for. Our guide will answer some questions you might have, like “What is AI writing?”, “How should I use AI writing software?”, and others.

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What is AI writing?

AI writing involves using artificial intelligence tools to create written content.
You can submit a prompt and have it write a short essay, for example, or draft a screenplay, write a short story, edit your content for grammatical/syntax errors, and beyond.
It completes the task in a matter of minutes, compared to the hours spent research and writing from scratch.
The capabilities depend on the software you use.

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How does AI writing work? Have you ever used the predictive text feature on the keyboard on your smartphone or tablet? The AI of predictive text follows along with what you’re typing and provides “educated” guesses as to what you might say next based on your history of typing in a specific app. For example, if you’re telling a specific person that they’re awesome every day in a text message, your predictive text feature will guess that you’re going to say the same thing again. You’ll notice this in other apps on your phone as well.

Another example might be if you use your phone to upload and post YouTube videos. Your YouTube Studio app and the predictive AI will automatically assume certain words and phrases if you use them often in your titles and video descriptions. AI writing software does this on a much, much larger scale.

Rather than comparing your habits against themselves and making a prediction about what you’ll say next, an AI writing tool will gather information based on what other people have said in response to a similar prompt. The bot will search the internet for information about what you’ve asked it to write, then compile that information into a response. While this used to come back as clunky and robotic, the algorithms and programming for AI writers have become much more advanced and can write human-like responses.

Are there different types of AI writing? There is a ton of AI writing software available to help with efficiency, accuracy, and proficiency in content creation, no matter what type you need. For example:

Bloggers can lean heavily on AI writing programs to help save time when building out a content calendar and editing blog posts.
Small businesses that don’t have the resources to write monthly blogs, for example, or compose marketing emails, or create social media posts can lean heavily on AI writing to create content for them. Of course, it’s recommended that somebody checks the content for accuracy and quality.
YouTubers can prompt an AI program to write a script for their videos. AI writing programs come in all sizes, functions, and price points (yes, you’ll probably have to pay to get the best features) to help anyone who creates content.

How should I use AI writing software? One of the first concerns that arose with the flood of AI writing software was that students would use it to write their term papers, or professionals would skimp on their writing duties and let the AI do it for them, and so on. These things, unfortunately, are going to happen.

However, AI can still be a tool that’s used for good. Anyone can have an AI chatbot do the heavy lifting in research, ideation, and organization. Let AI software get you started with your research, then take over to verify information, put it into coherent thoughts, then add emotion and storytelling.

A group of people at a coffee shop sharing information using a tablet.

Will AI writing replace real writers? No, AI will not replace real writers . However, it can help the cream of the industry rise to the top. AI writers are, so far, limited in their abilities to create emotional and engaging content. Humans, by nature, are storytellers. We have been since the beginning. Robots, however, are not. They are limited by what they’re programmed to do, and AI bots are programmed to gather information and make an educated guess about what you want to hear.

Take the movie Return of the Jedi, for instance. C-3PO was a protocol droid programmed to speak fluently in 6 million languages. Yes, he told a story to the Ewoks about how Luke and his friends got to Endor, but his telling was flat and factual. He couldn’t include the emotion that came with the story’s events.

AI writing is taking the world by storm because it’s an excellent way to work more efficiently. Does it have its limitations? It absolutely does. Because of these limitations, it’s essential to know how to use AI writing so it can be used more effectively.

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AI tools for creating essays and other papers: correcting mistakes, improving style, and text generation

This article provides an overview of common AI tools that can help you research, write, and polish essays and other papers. Learn more tools ranging from grammar checkers and style editors to text generators and research assistants.

Features of AI tools for writing essay

Essay genius, text metrics, deepl + deepl write, ai tools for essay comparison.

Today, writing academic papers can be greatly simplified with the help of artificial intelligence. Special tools not only generate drafts and find mistakes but also give you recommendations on how to improve your work. Essays created by AI still need a human eye and personalized editing. But you can start saving time now.

AI essay writing tools come in various forms, offering revision or full generation capabilities. The result is the same: an improved essay that impresses everyone.

The right tool will help you brainstorm topics, outline key points, and plan the structure of your essay. In addition, some AI tools can research the chosen topic to make writing your paper easier.

Artificial intelligence models can be used to create a first draft of an essay based on the topic, outline, and other user data. Thesis and argument formation can be presented through prompts and questions to help formulate a thesis or argumentative position. AI can provide simulated expert feedback, commenting on strengths and weaknesses, issues that must be addressed, and aspects that require support or clarification.

It is important to check essays for grammar, spelling, syntax, style, punctuation, consistency, and other writing problems. Some tools offer suggestions for corrections.

The most universal AI tools for writing essays and other written works are research-based text generators that combine different variations of paragraphs and sentences and automatically correct errors after manual editing. However, it should be noted that a human should thoroughly check any essay created with the help of artificial intelligence for the relevance of data.

AI tools for research and essay creating

Description

EssayBot is an artificial intelligence writing assistant that helps you write academic essays and provides writing feedback. It will also check your essay for uniqueness and suggest corrections.

EssayBot searches millions of websites and provides you with the most relevant information according to your search topic.

Type a phrase, and EssayBot's automatic tool will help you finish your sentence in several ways. EssayBot's grammar checker will catch any grammatical errors and correct them accordingly, and EssayBot's plagiarism checker will paraphrase your content to make sure it is unique.

EssayBot generates standard MLA and APA citations at the click of a button. The tool can suggest an outline or a draft essay based on a given topic.

Creates drafts to speed up the writing process
Checks for errors to improve writing quality
Compares drafts to track progress
Generated content may not be original
Feedback is limited to obvious errors
Dependence on precise outlines to create coherent designs
Lack of analytical approach

EssayBot is free.

Official Website: https://www.essaybot.com/

Textero AI is a versatile assistant for writing perfect essays, helping you write your essays, and conducting research on the chosen topic.

With Textero AI you can:

Create unique essays to spark new ideas (Automatically find sources, format the text, and download it in .docx format with just a few clicks)
Summarize academic research and large PDFs to extract the most important information
Generate outlines with artificial intelligence
Find sources that can be used for essays (the tool is powered by artificial intelligence and a database of scholarly materials)

It is stated that all content created by Textero.ai is unplagiarized, ensuring that the content you create is unique.

Saves time analyzing and summarizing large amounts of text
Provides useful feedback
Checks more than grammar and style
Suggests external content sources for new ideas
The resume may miss some important nuances
Limited free data sources
The quality of generated texts depends on the tool's learning mechanism

Textero AI's free plan allows you to generate up to 3000 words per month and use other tools. The paid plan ($16.99/month) offers more features and promises higher-quality work.

Official Website: https://www.textero.ai/

Dr. Essay is an all-in-one artificial intelligence assistant that helps you write academic essays based on given topics. It also helps you find the right research and academic papers as sources.

Dr. Essay's search engine and text recognition system are AI tools for in-depth topic research that can help you get relevant data.

The essay generation process is simple: You specify the topic keywords, word count, depth of research, and some other writing parameters, and then Dr. Essay generates a research paper for you.

Dr. Essay's thesaurus database allows you to automatically rewrite essays and articles by replacing words with synonyms. You can also improve your work by changing the order of sentences and adding a bibliography.

Quick drafting to speed up the writing of your paper
Essay checker to find mistakes
Basic features are free
Content produced may lack depth/originality
Limited ability to stylize essays

The free version of Dr. Essay allows up to 50 actions per day, but you won't be able to get a fully generated essay. The Basic ($18/month) and Pro ($40/month) plans offer more features.

Official Website: https://dressay.net/index.php

AI tools for writing essays

Essay Genius, an artificial intelligence tool, helps students write academic papers. It generates essay plans, prepares essay drafts, and provides writing feedback.

The tool can create an outline based on prompts or topics and automatically write an essay based on the outline. Enter the essay topic, and the tool will generate a complete paper with improvement options.

Useful features include grammar, spelling, writing style checks, formatting citations, and references to the desired format. Essay Genius can simulate expert reviews.

In the web version of Essay Genius, you can view examples of essays created by artificial intelligence on numerous topics, including marketing, sociology, physics, music, astronomy, medicine, and more.

Takes care of mechanical tasks like outlining and drafting
Provides thorough feedback beyond grammar
AI-powered expert reviews simulate genuine human feedback
Assisting you in creating complete essays from introduction to conclusion
Limited ability to customize essays to meet individual requirements
Generated essays may lack originality or critical analysis
The quality of the essay depends on the relevance of the material to the topic and the AI's training

Essay Genius is available for free with basic features. To access additional generation and tools, a subscription of $14.99 per month or $12.00 per month if paying for a year is required.

Official Website: https://essaygenius.ai/

Writecream is an AI writing assistant that offers guidance on writing style, structure, clarity, and quality to help users enhance their writing skills.

Writecream can generate personalized cold emails, LinkedIn posts, campaigns with backlinks, edit long reads, create ideas, drafts, texts on any topic, etc. The tool can also edit long-form content, generate ideas, and compose texts on any topic while supporting the ChatGenie chatbot in 75 languages.

Regarding SEO, the tool offers suggestions such as paraphrasing text, creating summaries, expanding or rewriting content, and generating titles and meta descriptions. Additionally, Writecream is useful for crafting content for marketing tactics such as Before-After-Bridge and Pain-Agitate-Solution. For instance, writing a 1,000+ word article takes less than half a minute with Writecream.

This versatile tool employs artificial intelligence to craft various formats, such as images, voice recordings, scripts, and video ideas.

Comprehensive writing assessment that includes multiple metrics beyond grammar.
Customizable feedback is provided based on interaction goals.
The tool assesses text clarity, formality, and persuasiveness for the intended audience.
The app is available for download on the App Store and Google Play.
Limited assistance is available for crafting essays and taking notes.
The trial version is limited in data entry capabilities.
No ability to directly edit or rewrite content.

A free version is available. There are also Unlimited plans for $29/month (this offer is limited), Standart for $49/month and Extended for $69/month.

Official Website: https://www.writecream.com/

Interview questions, profile descriptions, texts for advertising campaigns, metadata, reviews, articles, and letters can all be generated using Rutr's AI tool.

This tool can generate any type of written content you need. Simply choose from over 30 text targets, language, and style options. Then, provide the AI with a text prompt, and it will generate the material for you.

Rutr employs scientific copywriting formulas such as AIDA and PAS. While editing the text generated, you can make it longer or shorter, make it better by using more difficult words, and check it for originality.

Rutr will keep all your work in one spot with shared access and provides Gmail, Outlook, Slack, WordPress, Facebook, LinkedIn, etc. extensions.

Analyzing grammar, style, and readability of the text.
Track edits.
Fast text generation.
Cross-platform integration.
Limited formatting of output, such as quotes.
Suggestions are sometimes too general.
Frequent AI suggestions can interfere with work.

The Rutr tool is free to use, with slight limitations on the number of generations and other features. Paid plans are $9/month (or $90/year with two free months) and $29/month (or $290/year with two free months).

Official Website: https://rytr.me/

Jasper is an artificial intelligence writing assistant created by Anthropic. Jasper is ready to go whether you're writing social media posts, emails, blog articles, personalized letters, or need recommendations on improving your writing.

Jasper generates outlines based on prompts, helps you plan essays, checks grammar, and style, and suggests improvements. The tool provides feedback and visually explains suggested corrections.

Jasper's AI engine starts by learning the best models, including OpenAI's GPT-4, Anthropic, and Google. Then, it adds search data, information about your product, and optimization tools such as SEO and grammar tracker.

You can customize the AI tool based on your data. Jasper learns from your catalogs and company facts, scans your website, and tracks brand positioning as it generates new text. Upload scientific articles websites with useful data, and create essays with scientific support.

Natural conversation makes it simple to receive assistance.
Feedback encompasses more than just repairing mistakes.
The tool learns from user engagement.
Users may adapt the model to their specific needs.
The tool's abilities differ based on the training examples.
Cannot produce complete essays independently.
Limited editing abilities are available in comparison to tools like Grammarly.

Jasper offers a 7-day trial. After the trial, there are two paid plans available: Teams ($125 per month) and Creator ($49 per month).

Official Website: https://www.jasper.ai/

ShortlyAI is an AI text-writing tool that uses GPT-3 to produce high-quality texts. The software is trained on various texts, enabling it to generate top-notch content.

Shortly AI analyzes text for readability, flow, style, and structure, checks for best practices, and identifies areas for improvement. The tool will provide you with suggestions on how to revise your writing.

To create written work, simply write an introductory sentence and click on the "Write for me" button. You can also give the tool more detailed instructions using slash commands.

The output generated by Shortly AI is entirely unique and passes all standard plagiarism checks.

Provides helpful feedback with detailed analysis of the text.
Evaluates not only grammar but also clarity.
Includes interactive learning through documents.
Easy-to-use interface.
Limited editing and basic word-processing functions are available.
The trial version has restrictions on data entry.

A yearly membership costs $65 per month and can be canceled anytime. A monthly membership costs $79 per month.

Official Website: https://www.shortlyai.com/

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Using AI ethically in writing assignments

The use of generative artificial intelligence in writing isn’t an either/or proposition. Rather, think of a continuum in which AI can be used at nearly any point to inspire, ideate, structure, and format writing. It can also help with research, feedback, summarization, and creation. You may also choose not to use any AI tools. This handout is intended to help you decide.

A starting point

Many instructors fear that students will use chatbots to complete assignments, bypassing the thinking and intellectual struggle involved in shaping and refining ideas and arguments. That’s a valid concern, and it offers a starting point for discussion:

Turning in unedited AI-generated work as one’s own creation is academic misconduct .

Most instructors agree on that point. After that, the view of AI becomes murkier. AI is already ubiquitous, and its integrations and abilities will only grow in the coming years. Students in grade school and high school are also using generative AI, and those students will arrive at college with expectations to do the same. So how do we respond?

Writing as process and product

We often think of writing as a product that demonstrates students’ understanding and abilities. It can serve that role, especially in upper-level classes. In most classes, though, we don’t expect perfection. Rather, we want students to learn the process of writing. Even as students gain experience and our expectations for writing quality rise, we don’t expect them to work in a vacuum. They receive feedback from instructors, classmates, friends, and others. They get help from the writing center. They work with librarians. They integrate the style and thinking of sources they draw on. That’s important because thinking about writing as a process involving many types of collaboration helps us consider how generative AI might fit in.

Generative AI as a writing assistant

We think students can learn to use generative AI effectively and ethically. Again, rather than thinking of writing as an isolated activity, think of it as a process that engages sources, ideas, tools, data, and other people in various ways. Generative AI is simply another point of engagement in that process. Here’s what that might look like at various points:

Early in the process

Generating ideas . Most students struggle to identify appropriate topics for their writing. Generative AI can offer ideas and provide feedback on students’ ideas.
Narrowing the scope of a topic . Most ideas start off too broad, and students often need help in narrowing the scope of writing projects. Instructors and peers already do that. Generative AI becomes just another voice in that process.
Finding initial sources . Bing and Bard can help students find sources early in the writing process. Specialty tools like Semantic Scholar, Elicit, Prophy, and Dimensions can provide more focused searches, depending on the topic.
Finding connections among ideas . Research Rabbit, Aria (a plug-in for Zotero) and similar tools can create concept maps of literature, showing how ideas and research are connected. Elicit identifies patterns across papers and points to related research. ChatGPT Pro can also find patterns in written work. When used with a plugin, it can also create word clouds and other visualizations.
Gathering and formatting references . Software like EndNote and Zotero allow students to store and organize sources. They also save time by formatting sources in whatever style the writer needs.
Summarizing others’ work . ChatGPT, Bing and specialty AI tools like Elicit do a good job of summarizing research papers and webpages, helping students decide whether a source is worth additional time.
Interrogating research papers or websites . This is a new approach AI has made possible. An AI tool analyzes a paper (often a PDF) or a website. Then researchers can then ask questions about the content, ideas, approach, or other aspects of a work. Some tools can also provide additional sources related to a paper.
Analyzing data . Many of the same tools that can summarize digital writing can also create narratives from data, offering new ways of bringing data into written work.
Finding hidden patterns . Students can have an AI tool analyze their notes or ideas for research, asking it to identify patterns, connections, or structure they might not have seen on their own.
Outlining . ChatGPT, Bing and other tools do an excellent job of outlining potential articles or papers. That can help students organize their thoughts throughout the research and writing process. Each area of an outline provides another entry point for diving deeper into ideas and potential writing topics.
Creating an introduction . Many writers struggle with opening sentences or paragraphs. Generative AI can provide a draft of any part of a paper, giving students a boost as they bring their ideas together.

Deeper into the process

Thinking critically . Creating good prompts for generative AI involves considerable critical thinking. This isn’t a process of asking a single question and receiving perfectly written work. It involves trial and error, clarification and repeated follow-ups. Even after that, students will need to edit, add sources, and check the work for AI-generated fabrication or errors.
Creating titles or section headers for papers . This is an important but often overlooked part of the writing process, and the headings that generative AI produces can help students spot potential problems in focus.
Helping with transitions and endings . These are areas where students often struggle or get stuck, just as they do with openings.
Getting feedback on details . Students might ask an AI tool to provide advice on improving the structure, flow, grammar, and other elements of a paper.
Getting feedback on a draft . Instructors already provide feedback on drafts of assignments and often have students work with peers to do the same. Students may also seek the help of the writing center or friends. Generative AI can also provide feedback, helping students think through large and small elements of a paper. We don’t see that as a substitute for any other part of the writing process. Rather, it is an addition.

Generative AI has many weaknesses. It is programmed to generate answers whether it has appropriate answers or not. Students can’t blame AI for errors, and they are still accountable for everything they turn in. Instructors need to help them understand both the strengths and the weaknesses of using generative AI, including the importance of checking all details.

A range of AI use

Better understanding of the AI continuum provides important context, but it doesn’t address a question most instructors are asking: How much is too much ? There’s no easy answer to that. Different disciplines may approach the use of generative AI in very different ways. Similarly, instructors may set different boundaries for different types of assignments or levels of students. Here are some ways to think through an approach:

Discuss ethics . What are the ethical foundations of your field? What principles should guide students? Do students know and understand those principles? What happens to professionals who violate those principles?
Be honest . Most professions, including academia, are trying to work through the very issues instructors are. We are all experimenting and trying to define boundaries even as the tools and circumstances change. Students need to understand those challenges. We should also bring students into conversations about appropriate use of generative AI. Many of them have more experience with AI than instructors do, and adding their voices to discussions will make it more likely that students will follow whatever guidelines we set.
Set boundaries . You may ask students to avoid, for instance, AI for creating particular assignments or for generating complete drafts of assignments. (Again, this may vary by discipline.) Just make sure students understand why you want them to avoid AI use and how forgoing AI assistance will help them develop skills they need to succeed in future classes and in the professional world.
Review your assignments . If AI can easily complete them, students may not see the value or purpose. How can you make assignments more authentic, focusing on real-world problems and issues students are likely to see in the workplace?
Scaffold assignments . Having students create assignments in smaller increments reduces pressure and leads to better overall work.
Include reflection . Have students think of AI as a method and have them reflect on their use of AI. This might be a paragraph or two at the end of a written assignment in which they explain what AI tools they have used, how they have used those tools, and what AI ultimately contributed to their written work. Also have them reflect on the quality of the material AI provided and on what they learned from using the AI tools. This type of reflection helps students develop metacognitive skills (thinking about their own thinking). It also provides important information to instructors about how students are approaching assignments and what additional revisions they might need to make.
Engage with the Writing Center, KU Libraries , and other campus services about AI, information literacy, and the writing process. Talk with colleagues and watch for advice from disciplinary societies. This isn’t something you have to approach alone.

Generative AI is evolving rapidly. Large numbers of tools have incorporated it, and new tools are proliferating. Step back and consider how AI has already become part of academic life:

AI-augmented tools like spell-check and auto-correct brought grumbles, but there was no panic.
Grammar checkers followed, offering advice on word choice, sentence construction, and other aspects of writing. Again, few people complained.
Citation software has evolved along with word-processing programs, easing the collection, organization, and formatting of sources.
Search engines used AI long before generative AI burst into the public consciousness.

As novel as generative AI may seem, it offers nothing new in the way of cheating. Students could already buy papers on the internet, copy and paste from an online site, have someone else create a paper for them, or tweak a paper from the files of a fraternity or a sorority. So AI isn’t the problem. AI has simply forced instructors to deal with long-known issues in academic structure, grading, distrust, and purpose. That is beyond the scope of this handout, other than some final questions for thought:

Why are we so suspicious of student intentions? And how can we create an academic climate that values learning and honesty?

The best AI writing generators

These 7 ai writing tools will take your content to the next level..

Hero image with the logos of the best AI writing software

Of course, all AI writing software needs human supervision to deliver the best results. Left to its own devices, it tends to produce fairly generic and frequently incorrect content, even if it can pass for something a human wrote. Now that AI tools are increasingly popular, people also seem more aware of what bland AI-produced content reads like and are likely to spot it—or at least be suspicious of content that feels like it lacks something.

I've been covering this kind of generative AI technology for almost a decade. Since AI is supposedly trying to take my job, I'm somewhat professionally interested in the whole situation. Still, I think I'm pretty safe for now. These AI writing tools are getting incredibly impressive, but you have to work with them, rather than just letting them spit out whatever they want.

So, if you're looking for an AI content generator that will help you write compelling copy, publish blog posts a lot quicker, and otherwise take some of the slow-paced typing out of writing, you've come to the right place. Let's dig in.

The best AI writing software

Jasper for businesses

Copy.ai for copywriting

Anyword for assisting you with writing

Sudowrite for fiction

Writer for a non-GPT option

Writesonic for GPT-4 content

Rytr for an affordable AI writer

How do AI writing tools work?

Search Google for AI writing software, and you'll find dozens of different options, all with suspiciously similar features. There's a big reason for this: 95% of these AI writing tools use the same large language models (LLMs) as the back end.

Some of the bigger apps are also integrating their own fine-tuning or using other LLMs like Claude . But most are really just wrappers connected to OpenAI's GPT-3 and GPT-4 APIs, with a few extra features built on top—even if they try to hide it in their own marketing materials. If you wanted to, you could even create your own version of an AI writing assistant without code using Zapier's OpenAI integrations —that's how much these apps rely on GPT.

See how one writer created an AI writing coach with GPT and other ways you can use OpenAI with Zapier .

Now this isn't to say that none of these AI-powered writing apps are worth using. They all offer a much nicer workflow than ChatGPT or OpenAI's playground , both of which allow you to generate text with GPT as well. And the better apps allow you to set a "voice" or guidelines that apply to all the text you generate. But the difference between these apps isn't really in the quality of their output. With a few exceptions, you'll get very similar results from the same prompt no matter which app you use—even if they use different LLMs. Where the apps on this list stand out is in how easy they make it to integrate AI text generation into an actual workflow.

As for the underlying LLM models themselves, they work by taking a prompt from you, and then predicting what words will best follow on from your request, based on the data they were trained on. That training data includes books, articles, and other documents across all different topics, styles, and genres—and an unbelievable amount of content scraped from the open internet . Basically, LLMs were allowed to crunch through the sum total of human knowledge to form a deep learning neural network—a complex, many-layered, weighted algorithm modeled after the human brain. Yes, that's the kind of thing you have to do to create a computer program that generates bad poems .

If you want to dive more into the specifics, check out the Zapier articles on natural language processing and how ChatGPT works . But suffice it to say: GPT and other large language models are incredibly powerful already—and because of that, these AI writing tools have a lot of potential.

What makes the best AI text generator?

How we evaluate and test apps.

Our best apps roundups are written by humans who've spent much of their careers using, testing, and writing about software. Unless explicitly stated, we spend dozens of hours researching and testing apps, using each app as it's intended to be used and evaluating it against the criteria we set for the category. We're never paid for placement in our articles from any app or for links to any site—we value the trust readers put in us to offer authentic evaluations of the categories and apps we review. For more details on our process, read the full rundown of how we select apps to feature on the Zapier blog .

We know that most AI text generators rely on the various versions of GPT, and even those that don't are using very similar models, so most apps aren't going to stand out because of some dramatic difference in the quality of their output. Creating effective, human-like text is now table stakes. It was required for inclusion on this list—but not sufficient on its own.

As I was testing these apps, here's what else I was looking for:

Tools powered by GPT or a similar large language model with well-documented efficacy. In practice, this means that most but not all of the AI writing tools on this list use GPT to a greater or lesser degree. Many apps are starting to hide what models they use and claim to have a lot of secret sauce built on top (because there's a marketing advantage in being different and more powerful), but the reality is that nine times out of ten, it's the GPT API that's doing the heavy lifting.

An interface that gives you a lot of control over the text output. The more options you have to influence the tone, style, language, content, and everything else, the better. I didn't want tools where you just entered a headline and let the AI do the rest; these are all tools that you collaborate with, so you can write great copy quickly. The best AI writing tools also let you set a default brand voice that's always on.

Ease of use. You shouldn't have to fight to get the AI to do what you want. With AI writing software like this, there will always be some redoing and reshaping to get the exact output you want, but working with the AI shouldn't feel like wrangling a loose horse. Similarly, great help docs and good onboarding were both a major plus.

Affordability. ChatGPT is currently free, and all these tools are built on top of an API that costs pennies . There was no hard and fast price limit, but the more expensive tools had to justify the extra expense with better features and a nicer app. After all, almost every app will produce pretty similar outputs regardless of what it costs.

Apps that weren't designed to make spam content. Previous text-generating tools could " spin " content by changing words to synonyms so that unscrupulous website owners could rip off copyrighted material and generally create lots of low-quality, low-value content. None of that on this list.

Even with these criteria, I had more than 40 different AI writing tools to test. Remember: it's relatively easy for a skilled developer to build a wrapper around the GPT API, so I had to dig deep into each one to find out if it was any good or just had a flashy marketing site.

I tested each app by getting it to write a number of different short- and long-form bits of copy, but as expected, there were very few meaningful quality differences. Instead, it was the overall user experience, depth of features, and affordability that determined whether an app made this list.

Zapier Chatbots lets you build custom AI chatbots and take action with built-in automation—no coding required. Try the writing assistant template to help you create high quality content, effortlessly.

The best AI writing generators at a glance

Best ai writing generator for businesses, jasper (web).

Jasper, our pick for the best AI writing generator for businesses

Jasper pros:

One of the most mature and feature-filled options on the list

Integrates with Grammarly, Surfer, and its own AI art generator

Jasper cons:

Expensive given that all the apps use similar language models

Jasper (formerly Jarvis) is one of the most feature-filled and powerful AI content generators. It was among the first wave of apps built on top of GPT, and its relative longevity means that it feels like a more mature tool than most of the other apps I tested. It's continued to grow and develop in the months since I first compiled this list.

If you have a business and budget isn't your primary concern, Jasper should be one of the first apps you try. It's pivoted to mostly focus on marketing campaigns rather than just generating generic AI content. That's not a bad thing, but it means that plans now start at $49/month for individual creators and $125/month for teams.

Jasper has also moved away from just being a GPT app. It claims to combine "several large language models" including GPT-4, Claude 2, and PaLM 2, so that "you get the highest quality outputs and superior uptime." While I can't say that I noticed a massive difference between Jasper's output and any other app's, it does give you a few solid controls so that your content matches your brand.

You can create a brand Voice and Tone by uploading some appropriate sample text. Based on a few examples of my writing, Jasper created a style that "emphasizes a casual, conversational tone with humor, personal anecdotes, listicles, informal language, expertise in various subjects, and a call to action for an engaging and approachable brand voice." I don't think that's a bad summary of the content I fed in, and its output for a few test blog posts like "The Enduring Popularity of Top Gun" felt closer to my writing than when I asked it to use a generic casual tone of voice. Similarly, there's a Knowledge Base where you can add facts about your business and products so Jasper gets important details right.

While other apps also offer similar features, Jasper's seemed to work better and are fully integrated with the rest of the app. For example, you can create entire marketing campaigns using your custom brand voice. Put a bit of work into fine-tuning it and uploading the right assets to your knowledge base, and I suspect that Jasper really could create some solid first drafts of marketing materials like blog outlines, social media campaign ads, and the like.

Otherwise, Jasper rounds things out with some nice integrations. It has a built-in ChatGPT competitor and AI art generator (though, again, lots of other apps have both), plays nice with the SEO app Surfer , and there's a browser extension to bring Jasper everywhere.

You can also connect Jasper to thousands of other apps using Zapier . Learn more about how to automate Jasper , or try one of the pre-built workflows below.

Create product descriptions in Jasper from new or updated Airtable records

Create Jasper blog posts from new changes to specific column values in monday.com and save the text in Google Docs documents

Run Jasper commands and send Slack channel messages with new pushed messages in Slack

Jasper pricing: Creator plan from $49/month with one brand voice and 50 knowledge assets. Teams plan starts at $125/month for three seats, three brand voices, and 150 knowledge assets.

Best AI writing app for AI copywriting

Copy.ai (web).

Copy.ai, our pick for the best AI copywriting tool

Copy.ai pros:

Has an affordable unlimited plan for high-volume users

Workflow actively solicits your input, which can lead to higher quality content

Copy.ai cons:

Expensive if you don't produce a lot of content

Pretty much anything Jasper can do, Copy.ai can do too. It has brand voices, an infobase, a chatbot, and team features (though there isn't a browser extension). Consider it the Burger King to Jasper's McDonalds.

And like the Home of the Whopper, Copy.ai appeals to slightly different tastes. While I could argue that Copy.ai has a nicer layout, the reality is it's geared toward a slightly different workflow. While Jasper lets you and the AI loose, Copy.ai slows things down a touch and encourages you to work with its chatbot or use a template that asks some deliberate, probing questions. For creating website copy, social media captions , product descriptions, and similarly specific things, it makes more sense. But for content marketing blog posts and other long-form content, it might annoy you.

The other big difference is the pricing. While both offer plans for $49/month, Copy.ai includes five user seats and unlimited brand voices. For a small team working with multiple brands, it can be a lot cheaper. Also, if you're looking for a free AI writing generator, Copy.ai also offers a free plan that includes 2,000 words per month.

Overall, there are more similarities than differences between Jasper and Copy.ai , and both can create almost all the same kinds of text. Even when it came to analyzing my voice, they both came to pretty similar conclusions. Copy.ai decided that, to mimic me, it had to "focus on creating content that is both educational and entertaining, using a conversational tone that makes readers feel like they're having a chat with a knowledgeable friend" and "not to be afraid to inject some humor or personal anecdotes." If you're in doubt, try them both out and then decide.

Copy.ai also integrates with Zapier , so you can do things like automatically sending content to your CMS or enriching leads straight from your CRM. Learn more about how to automate Copy. ai or try one of the pre-built workflows below.

Add new blog posts created with Copy.ai to Webflow

Enrich new Salesforce leads with Copy.ai

Copy.ai pricing: Free for 2,000 words per month; from $49/month for the Pro plan with 5 users and unlimited brand voices.

Best AI writing assistant

Anyword (web).

Anyword pros:

Makes it very easy for you to include specific details, SEO keywords, and other important information

Engagement scores and other metrics are surprisingly accurate

Anyword cons:

Can be slower to use

Pretty expensive for a more limited set of features than some of the other apps on this list

While you can direct the AI to include certain details and mention specific facts for every app on this list, none make it as easy as Anyword. More than any of the others, the AI here feels like an eager and moderately competent underling that requires a bit of micromanaging (and can also try to mimic your writing style and brand voice), rather than a beast that you have to tame with arcane prompts.

Take one of its main content-generating tools: the Blog Wizard. Like with Copy.ai, the setup process requires you to describe the blog post you want the AI to create and add any SEO keywords you want to target. Anyword then generates a range of titles for you to choose from, along with a predicted engagement score.

Once you've chosen a title—or written your own—it generates a suggested outline. Approve it, and you get the option for it to create an entire ~2,000-word blog post (boo!) or a blank document where you can prompt it with additional instructions for each section of the outline, telling it things like what facts to mention, what style to take, and what details to cover. There's also a chatbot-like research sidebar that you can ask questions of and solicit input from. While certainly a slower process than most apps, it gives you a serious amount of control over the content you're creating.

Anyword is definitely aimed at marketers, and its other tools—like the Data-Driven Editor and the Website Targeted Message—all allow you to target your content toward specific audiences and give things engagement scores. While I certainly can't confirm the validity of any of these scores, they at least pass the sniff test. I generally thought the AI-generated content that Anyword scored higher was better—and even when I disagreed, I still liked one of the top options.

Anyword pricing: Starter plan from $49/month for 1 user and 1 brand voice.

Best AI writing tool for writing fiction

Sudowrite (web).

Sudowrite pros:

The only AI tool on the list explicitly aimed at writing fiction

Super fun to use if you've ever wanted to play around with fiction

Sudowrite cons:

It's still an AI text generator, so it can produce nonsensical metaphors, clichéd plots, incoherent action, and has a short memory for details

Very controversial in fiction writing circles

When I saw Sudowrite's marketing copy, I didn't think for a second it would make it onto this list. Then I tried it and…I kind of love it. Sudowrite is a totally different tool than all the others on this list because it's aimed at fiction writers. And with that, comes a lot of controversy. Sudowrite has been called " an insult to writers everywhere " and has been generally dismissed as a tool for hacks by a lot of Very Online writers. And while it's true that it's nowhere close to replacing a human author, it's fun, functional, and can genuinely help with writing a work of fiction.

The Story Engine feature, which allows you to generate a full work of fiction over a few days by progressively generating each story beat, has attracted the most attention ( it works but takes lots of hand-holding and your novel will be weird ). But I prefer its assistive tools.

Let's start with Describe. Select a word or phrase, click Describe , and the AI will generate a few suggestions for the sight, smell, taste, sound, and touch of the thing, as well as a couple of metaphors. If you're the kind of writer who struggles to add sensory depth to your short stories, it can help you get into the habit of describing things in more interesting ways.

Then there's Brainstorm. It allows you to use the AI to generate possible dialogue options, character names and traits, plot points, places, and other details about your world from your descriptions and cues. If you know you want a big hairy guy with a huge sword but can't think of a good name, it can suggest a few, like Thorgrim and Bohart.

And these are just scratching the surface. Sure, if you over-rely on the AI to solve all your problems, you'll probably end up with an impressively generic story. But if you use it as a writing buddy to bounce ideas off and get you out of a rut, it's got serious potential.

Best of all, Sudowrite is super easy to use. The onboarding, tool tips, and general helpful vibe of the app are something other developers could learn from.

Sudowrite pricing: Hobby & Student plan from $19/month for 30,000 AI words/month.

Best AI text generator for a non-GPT option

Writer (web).

Writer, our pick for the best AI writing generator that doesn't use GPT

Writer pros:

Not based on GPT, so free of a lot of the controversy surrounding LLMs

Surprisingly capable as an editor, making sure your team sticks to the style guide and doesn't make any wild claims

Writer cons:

Requires a lot more setup to get the most from

GPT comes with quite a lot of baggage. OpenAI has been less than transparent about exactly what data was used to create the various versions of GPT-3 and GPT-4, and it's facing various lawsuits over the use of copyrighted material in its training dataset. No one is really denying that protected materials— potentially from pirated databases —were used to train GPT; the question is just whether or not it falls under fair use.

For most people, this is a nebulous situation filled with edge cases and gray areas. Realistically, it's going to be years before it's all sorted out, and even then, things will have moved on so far that the results of any lawsuit are likely to be redundant. But for businesses that want to use AI writing tools without controversy attached, GPT is a no-go—and will be for the foreseeable future.

Which is where Writer comes in.

Feature-wise, Writer is much the same as any of my top picks. (Though creating a specific brand voice that's automatically used is an Enterprise-only feature; otherwise, you have to use a lot of checkboxes in the settings to set the tone.) Some features, like the chatbot, are a little less useful than they are in the GPT-powered apps, but really, they're not why you'd choose Writer.

Where it stands out is the transparency around its Palmyra LLM . For example, you can request and inspect a copy of its training dataset that's composed of data that is "distributed free of any copyright restrictions." Similarly, Palmyra's code and model weights (which determines its outputs) can be audited, it can be hosted on your own servers, and your data is kept secure and not used for training by default. As an AI-powered tool, it's as above board as it comes.

In addition to generating text, Writer can work as a company-specific Grammarly-like editor, keeping on top of legal compliance, ensuring you don't make any unsupported claims, and checking that everything matches your style guide—even when humans are writing the text. As someone who routinely has to follow style guides, this seems like an incredibly useful feature. I wasn't able to test it fully since I don't have a personal style guide to input, but Writer correctly fixed things based on all the rules that I set.

In side-by-side comparisons, Writer's text generations sometimes felt a little weaker than the ones from Jasper or Copy.ai, but I suspect a lot of that was down to how things were configured. Writer is designed as a tool for companies to set up and train with their own data, not run right out of the box. I'd guess my random blog posts were a poor test of how it should be used in the real world.

Writer also integrates with Zapier , so you can use Writer to create content directly from whatever apps you use most. Learn more about how to automate Writer , or take a look at these pre-made workflows.

Create new outlines or drafts in Writer based on briefs from Asana

Generate marketing content from project briefs in Trello

Writer pricing: Team from $18/user/month for up to 5 users; after that, it's an Enterprise plan.

Best AI text generator for GPT-4 content

Writesonic (web).

Writesonic, our pick for the best AI writing generator for GPT-4 content

Writesonic pros:

Allows you to select what GPT model is used to generate text

Generous free plan and affordable paid plans

Writesonic cons:

A touch too focused on SEO content for my taste

While almost all the tools on this list use GPT, most are pretty vague about which particular version of it they use at any given time. This matters because the most basic version of the GPT-3.5 Turbo API costs $0.002/1K tokens (roughly 750 words), while GPT-4 starts at $0.06/1K tokens, and the most powerful version costs $0.12/1K tokens. All this suggests that most apps may not use GPT-4 in all circumstances, and instead probably rely on one of the more modest (though still great) GPT-3 models for most text generation.

If having the latest and greatest AI model matters to you, Writesonic is the app for you. Writesonic doesn't hide what AI model it uses. It even allows you to choose between using GPT-3.5 and GPT-4, at least on Business plans.

Whether the content you create will benefit from the extra power of GPT-4 or not depends. In my experience using GPT-4 through ChatGPT, the latest model is more accurate and, essentially, more sensible in how it responds. If you're churning out low-stakes copy variations for your product listings, you likely won't see much improvement. On the other hand, for long-form original blog posts, it could make a difference. Either way, the transparency in which model you're using at any given time is a huge bonus.

Feature-wise, Writesonic is much the same as any of the other apps on this list, with a Google Docs-style editor, the option to set a brand voice, a few dozen copy templates, a chatbot, a browser extension, and Surfer integration. It's cool that you can set reference articles when you're generating a blog post, but it introduces the real possibility of inadvertent plagiarism if you aren't careful with how you use it. (Its most offbeat feature is a surprisingly solid AI-powered custom chatbot builder that's due to be spun out into its own app soon.) Overall, it's pretty nice to use and skews more toward SEO-optimized content marketing—but like with all the apps, you can use it to generate whatever you want.

Writesonic also integrates with Zapier , so you can send new copy to any of the other apps you use in your writing workflow. Learn more about how to automate Writesonic , or get started with one of these examples.

Create a Google Doc with new content from Writesonic

Generate product descriptions with Writesonic from spreadsheet rows in Google Sheets

Writesonic pricing: Free for 10,000 GPT-3.5 words per month; Business from $19/month for 200,000 Premium words or 33,333 GPT-4 words.

Best free AI writing generator (with affordable upgrades)

Rytr, our pick for the best free AI writing generator

A solid free plan and a cheap high-volume plan (though Writesonic offers better value for an unlimited plan)

It includes a basic AI art generator as part of every plan

The app is more basic than more expensive offerings

Unlimited plan isn't very competitive

Most of the apps on this list are aimed at professionals, businesses, and anyone else with a budget. The Jasper, Copy.ai, and Anyword plans I considered all started at $49/month. That isn't exactly a hobbyist-friendly sum of money, so if you want to explore AI text generators without spending as much, give Rytr a go.

There's a free plan that's good for 10,000 characters (around 2,500 words) per month, and it includes a lot of the features, like a plagiarism checker, and a few AI-generated images. The Saver plan starts at $9/month and allows you to generate 100,000 characters (around 25,000 words) per month. On that plan, you're also able to generate up to 20 images a month, which many other apps charge extra for. (There's also an unlimited plan for $29/month, but at that point, Writesonic is a better value.)

Feature-wise, there are some trade-offs. Rytr is a little less competent at generating long-form content without you guiding it through the process, and there are fewer templates for specific things. The interface also isn't as polished, and there isn't as much hand-holding to get you started. Still, as Rytr is using GPT like almost all the other apps on this list, you should be able to get it to produce substantially similar output.

Rytr Pricing: Free plan for 10,000 characters/month and lots of other features; Saver plan from $9/month for 100,000 characters; Unlimited plan from $29/month.

Other AI writing tools to consider

With so many AI text-generating tools out there, a few good ones worth considering didn't make this list, only because they didn't meet my initial criteria in some way. If none of the AI writers I chose fit the bill for you, here are a few other options worth looking into:

ChatGPT is surprisingly competent and fun to use. And best of all, it's free. ( Google Bard is a little less excellent on the content production side.)

Wordtune and Grammarly are both great tools for editing and improving your own writing . GrammarlyGO just isn't as flexible as my other picks.

Notion AI adds a powerful AI tool directly into Notion. If you already use Notion, it's worth checking out, but it's a lot to learn if you just want a text generator. (Same goes for AI within any other Notion alternative, like Coda AI .)

Surfer and Frase are both AI-powered SEO tools . They fell slightly out of scope for this list, but they can both help you optimize and improve your content—AI-generated or not.

All of the apps on this list offer at the very least a free trial, so I'd suggest trying some of them out for a few minutes until you find the one that seems to work best with your workflow.

Improve your productivity automatically. Use Zapier to get your apps working together.

A Zap with the trigger 'When I get a new lead from Facebook,' and the action 'Notify my team in Slack'

Best AI writers of 2024

Use the best AI writers to create written content quickly

Best AI writer overall

Best choice for marketers

Best for wordpress users, best for long-form writing.

Best free version
Best for short-form

Best for sourcing

Industry rankings

1. Best AI writer overall 2. Best for marketers 3. Best for WordPress users 4. Best for long-form writing 5. Best free option 6. Best for short-form writing 7. Best for sourcing 8. TechRadar's AI writer rankings

The word "AI" has been named the word of the year. ChatGPT has made waves since its introduction in late 2022. With every new iteration of this powerful tool, users have found innovative ways to use it to simplify and speed up their work.

Now, there are many AI writing assistants on the market, competing with ChatGPT to become the king of AI-powered writing tools. These new tools aim to simplify the writing process by generating long-form content, researching keywords, creating images from text, and more. Many bloggers are using these tools to improve their content and save time.

However, there are some drawbacks to using AI writers. The content generated may require additional editing to ensure it's polished and accurate. AI-generated content may also lack the unique voice and style a human writer can provide. Despite this, the benefits of using AI writers, such as cost and time savings, often outweigh these minor drawbacks.

In conclusion, AI writers are an excellent solution for creating high-quality content without spending countless hours or breaking the bank. With numerous writing tools available today, content creation can be easily sped up and simplified. If you're interested in trying one of these tools, we've got you covered with our list of the best AI writers of the year. Check it out!

The best AI writers in 2024

Why you can trust TechRadar We spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test.

See how our top picks compare in the following analysis and reviews as we discuss reasons to subscribe, reasons to avoid, our test results, and what we liked most about each cloud storage platform.

The best AI writer overall

1. grammarlygo.

Our expert review:

Specifications

Reasons to buy, reasons to avoid.

✔️ You also need a grammar editor: Getting help from an AI writer is even better with one that also helps you with grammar, like Grammarly.

✔️ Need to use it across multiple apps: With Grammarly installed on your computer, you instantly gain access to it across your favorite apps like Microsoft Word and other word processing packages.

✔️ Want something that's easy to use — once you learn how to do it: Once you understand how GrammarlyGO works, it's going to make your life easier and assist you in making your text better.

❌ You're on a strict budget: No doubt, Grammarly itself is expensive, especially if you only want to pay for it on a month-to-month basis.

❌ You don't need a grammar tool: Maybe this is overkill, depending on your situation.

❌ You need social networking-specific tools: GrammarlyGO doesn't offer these types of tools, at least for now.

Even in beta, GrammarlyGO is an excellent addition to an already powerful Al-based writing tool. You can use it to become a much better writer in just a few steps.

Check out our in-depth GrammarlyGo review for a closer look at the service, and see why it's our top AI writer pick for 2024.

Grammarly has been a reliable companion for writers, helping them polish their craft by providing suggestions that make their writing clearer, more engaging, or more effective. And now, they've taken it up a notch by introducing GrammarlyGO, a feature-packed add-on that comes bundled with the rest of the software.

To get the most out of GrammarlyGO, you must understand how Grammarly works, as the two are closely intertwined. When using GrammarlyGO, it's essential to remember the number of prompts available to you, which varies depending on the plan you choose. Whenever you ask Grammarly to improve your text, one prompt is used, regardless of whether you use the suggestion. Grammarly Free users get access to 100 prompts per month, while Grammarly Premium subscribers receive 1,000 prompts per month. For Grammarly Business users, the number goes up to 1,000 prompts per user every month.

GoogleGO AI features are classified into five categories: ideate, compose, reply, rewrite, and personalize. The ideate feature helps you generate article ideas that are exciting and thought-provoking. With Grammarly's assistance, you can develop topics like "Five ways to motivate employees" or "Name five great topics about fall" that can capture the reader's attention and spark their interest.

The compose feature is perfect when you want Grammarly to help you write something from scratch. For instance, you could ask Grammarly to help you write an announcement about your engagement or a cover letter for a new job. The more information you provide, the better the results, and GrammarlyGO can help you create a masterpiece with its advanced suggestions and insights. Adding details like the name of your fiancé and the engagement date can make your announcement even more unique. In contrast, information about the job you're applying for can make your cover letter more effective.

If you're unsure how to respond to a message, Grammarly's reply feature can save the day. You can ask Grammarly to answer questions like "What should I say to Brent about the new job?" or "How can I congratulate Tom and Becky on their upcoming nuptials?" With Grammarly's superior writing skills, you can craft an engaging, effective, and impressive response.

With these incredible features, GrammarlyGO can help you take your writing to new heights and unleash your creativity.

Please read our full GrammarlyGo review .

✔️ You are a marketer: Anyword is the best AI writer for marketers on the planet. It helps you create content based on your company's "voice," and learns as it goes.

✔️ You enjoy trial and error: There's no "right" answer when it comes to AI text generation. Anyword makes it easier to tweak text once or unlimited times to help you get the text perfect for your needs.

✔️ You need to generate unlimited words: There are limits elsewhere, but Anyword doesn't limit how many words it will generate on a monthly basis.

❌ You want app integration: You'll need to copy and paste text from your favorite word processor to Anyword, which can get annoying for some.

❌ You want a free plan: Once you exhaust your trial, you'll need to pick a free plan to continue.

❌ You aren't a marketer: The heavy marketing focus can't be avoided.

Anyword offers a slick and easy-to-use interface. In mere moments, you'll be able to create excellent content that caters to your intended audience

Check out our in-depth Anyword review for a closer look .

Are you tired of struggling to generate creative marketing copy or unsure how to optimize your existing content? Anyword is an innovative cloud-based writing tool that can help you overcome these challenges and achieve exceptional results. With Anyword's intuitive interface and user-friendly tools, you can generate, test, and optimize your copy in ways you never thought possible.

With unlimited words in each plan, Anyword gives you plenty of space to craft compelling content that truly resonates with your audience. Its advanced AI-powered algorithms can analyze your existing marketing materials and produce multiple variations of your copy, enabling you to compare and contrast different solutions and select the best option for your brand.

One of the key features of Anyword is its Brand Voice function, which enables businesses to establish a consistent identity across all their marketing materials. Whether you're refining your tone of voice, targeting your audience, or building out your messaging bank, Anyword can help you create copy that accurately reflects your brand's personality, tone, and style.

Additionally, Anyword seamlessly integrates with various platforms, from Hubspot to LinkedIn Ads, enabling you to use copy intelligence to enhance the quality of your future content. By analyzing the performance of your existing materials, Anyword empowers you to make informed decisions about optimizing your messaging for even better results.

But that's not all - Anyword's advanced algorithms can also analyze the performance of your competitors' marketing materials, giving you insights into their copy and enabling you to create content that sets you apart from the competition.

In summary, Anyword can help you unlock your creativity and produce exceptional marketing copy that resonates with your audience. With its range of user-friendly tools, advanced AI-powered algorithms, and seamless integration with various platforms, Anyword is the perfect writing tool for businesses looking to enhance their marketing efforts.

Please read our full Anyword review .

3. Articleforge

✔️ You use WordPress heavily: Articleforge works great with WordPress; get started in just a few steps.

✔️ You want package customization: The more you're willing to pay, the more words you can generate each month. It's flexible.

✔️ You need marketing-based tools: Offers SEO optimization, content in bulk, and more.

❌ You don't want to self-edit : Articleforge may require more post-generation editing than other options, which could slow you down.

❌ You don't want to deal with duplicates: Yes, sometimes Articleforge repeats suggestions.

❌ If you don't want to spend more for a monthly subscription: It's cheaper to buy this on a yearly basis, and that might not be a commitment you're willing to make.

Articleforge utilizes deep learning and AI to improve content over time, though heavy editing and fact-checking are often necessary.

Check out our in-depth Articleforge review for more information.

Articleforge is a tool that can greatly help speed up the writing process for users. It is a valuable resource for those who need to generate content quickly but do not have the time or resources to do so themselves. However, it is important to note that it is not a replacement for an experienced writer or editor. While it can provide recommendations for titles and automate SEO and WordPress publishing, it is not designed to produce ready-to-publish content.

One of the benefits of Articleforge is that it is available in seven languages, making it ideal for international blogs or multi-language sites. Users simply need to enter a few keywords and the topic they want to cover, and the platform will generate content in under 60 seconds. This generated content will use the provided keywords and cover the desired topic.

In addition to its quick and easy content generation, Articleforge also offers various integrations, including MS Word and WordPress integrations. The platform also provides integrations with other software systems like SEO AutoPilot, CyberSEO, RankerX, SEnuke TNG, and more. These integrations are easy to use, thanks to the API key offered by the platform.

While the platform is a convenient tool for creating content, its output quality falls short of expectations. As with any automated system, fact-checking is necessary for the majority of the content offered by the platform. The platform does offer better output quality with customized input. However, extensive testing is required, which can quickly exhaust the "word meter."

Overall, Articleforge can significantly expedite the writing process and help overcome writer's block. It is advisable to test it out and find a balance between the platform and tailored input to yield superior results. While it should not be relied upon as a sole source of content, using it in conjunction with other resources can help users quickly generate high-quality content.

Read our full Articleforge AI writer review .

✔️ You want a great plagiarism checker: You want to create original content, right? This checker makes sure that's true.

✔️ You need to create content in multiple languages: Some folks are writing content in multiple languages and Jasper lets you do this.

✔️ You want access to a lot of features: The team behind this solution tends to add new features on a regular basis without raising the price. That's sweet.

❌ You don't have time to learn: Any AI writer takes time to learn. Jasper takes a little bit more time.

❌ If you don't want to spend a lot: Some folks might not feel the Creator package is enough and the next one is expensive.

❌ If you aren't willing to edit a lot: Some of the content Jasper creates is better than others. Some extra editing is key.

Jasper is a platform that is highly customizable and comes with a user-friendly interface. All the necessary tools that you need are just a click away. The platform’s content generation capabilities are hidden behind easy-to-reach templates, making it an easy-to-use tool.

Check out our review of Jasper to learn more about the AI writer.

Jasper is a powerful platform that leverages natural language processing (NLP) algorithms to analyze data from various sources across the web. With this ability, it can generate content ideas based on the relevant data you input, such as keywords, topics, and more. Jasper can help create a wide range of content formats, including blog posts, social media content, emails, and much more.

One of the most significant advantages of Jasper is that it has a tone feature that allows you to assign a corresponding tone to the copy you create if you’re targeting a specific persona. This feature is incredibly useful because it helps ensure that the content you create resonates with your target audience. Additionally, Jasper can help you improve your content through optimization recommendations, which can be accessed through numerous templates available on the platform.

If you’re short on time and need to create content quickly, Jasper is the perfect solution. It can offer content in mere seconds with just a few clicks and some input. With Jasper, you can save time and increase productivity, allowing you to focus on other essential tasks.

Another unique feature that Jasper offers is the “Boss Mode” feature, which allows you to write 5x faster. With this mode, you can give commands to Jasper, and it will do all the work for you. You can even write a complete book using this mode in just minutes. This feature is incredibly useful for writers who need to create a large volume of content in a short amount of time.

In the Boss Mode, you can also use pre-built recipes offered by the Jasper team such as “Write about (keyword),” but you also have the option of creating your own, which can be incredibly helpful if you have specific requirements for your content. By automating your writing process, you can save time and focus on other critical tasks.

Read our full Jasper review .

The best free version

✔️ You want a free plan for minor work: If you're okay with only generating 2,000 words per month, there's a free plan for that.

✔️ You need unlimited word generation: You can create unlimited words each month with all the paid plans.

✔️ You want multiple tools: New features are added often, making the product even better.

❌ You are a marketer: There are better options if you primarily need to write marketing copy.

❌ You aren't willing to learn: Here's another option that is a little bit harder to learn, at least initially.

❌ You need app integration: Expect to stay on the CopyAI website to get your work done, which requires copy and paste.

CopyAI helps writers create high-quality copy with the power of AI, saving time and producing better content that resonates with your audience.

Check out our in-depth CopyAI review to see whether it's the tool for you.

CopyAI has been making waves in the world of AI writing tools, becoming a favorite among users who want to create high-quality content that can help them stand out in today's crowded digital space. The tool offers a wide range of options that allow users to get started and take their writing to the next level, from exploring various writing templates, settings, and features on the user dashboard to creating a compelling copy in minutes.

The user dashboard serves as the creative command center for CopyAI users, providing a user-friendly and intuitive interface that makes it easy to navigate through different features. From here, you can quickly access various options that can help you create content that resonates with your audience, whether you need to write a blog post about travel or an email to a potential client.

The chat feature is the default option that acts as a blank canvas to help generate inspiration. The brainstorm feature allows you to create copy such as "ten catchy Twitter headlines on holiday shopping," "the best Facebook headlines for marketing professionals," and more. If you're struggling to come up with a topic, don’t worry. CopyAI’s chat function provides prompt templates to give you a head start. These templates cover various topics, including content creation, SEO, email marketing, social media, PR and communication, sales, and strategy.

Moreover, you can create custom templates that cater to your specific needs. Each template in the collection provides various options, so whether you need a headline generator, a step-by-step guide, or a product description, CopyAI has you covered. You can even use the "rewrite content" option to enhance your written content, making it more engaging and effective.

To fully personalize your experience with CopyAI, you should create one or more brand voices. This process involves providing text that accurately describes you or your company's unique voice. This text should be between 50 and 500 words and can come from various sources such as blog articles, social media posts, website copy, marketing emails, and more. This allows CopyAI to tailor its AI-powered tools to better suit your brand's needs, making it easier for you to create content that resonates with your target audience and helps you achieve your goals.

In summary, CopyAI is a powerful AI writing tool that offers a wide range of features and options to help you create high-quality content. From the user dashboard to the chat and brainstorming features, CopyAI provides a user-friendly and intuitive interface that makes it easy to create compelling and engaging content. With custom templates and brand voices, you can personalize your experience with CopyAI and create content that resonates with your target audience, helping you stand out in today's crowded digital space.

Read our full CopyAI review .

The best for short-form

6. writesonic.

✔️ You aren't tech savvy: It's one of the easiest-to-use solutions on the market.

✔️ You need lots of languages: Writesonic supports 25 languages and counting.

✔️ You're a freelancer: There's a package just for you.

❌ You want to pay a lower price: Some have criticized Writesonic for being too expensive. That's true with the Smart Team options

❌ You need more third-party integrations: It doesn't really place nice with other software tools, which could add some time to your work.

❌ You don't like tackling a learning curve : Like others on this list, there's a slighter higher learning curve with this one

Writesonic is an expansive AI writing platform with an intuitive interface and versatile templates for all content creation scenarios.

Check out our in-depth Writesonic review to see if this is the AI writing tool for you.

Writesonic is an innovative content creation platform that provides users with various features and tools to generate high-quality, engaging content. One of the most impressive features of Writesonic is its versatility - it supports over 25 languages, including English, French, Italian, German, Japanese, Chinese, and more. This is a significant advantage for businesses that operate in multiple regions and need to produce content in different languages.

Another notable feature of Writesonic is its tone of voice customization tool. Users can choose from various tones, including "Excited," "Creative," and more. This feature adds a unique twist to the content, tailoring it to the user's needs. However, it's essential to note that the tone of voice feature may require additional editing to ensure the content is clear and coherent.

Regarding website copywriting, Writesonic provides users with an impressive range of tools. It can create landing pages, SEO meta descriptions, and feature-rich headers and subheaders. Additionally, it allows users to create social media ads on Facebook, LinkedIn, and Google . Content creators can also benefit from Writesonic's blog writing, point expansion, and text analysis tools, which can rephrase the content and improve its readability.

The platform also offers e-commerce copy creation and popular copywriting formulas, such as the "AIDA" and "Pain-Agitate-Solution" formulas. These formulas are tried and tested approaches to writing compelling, persuasive content that resonates with readers.

However, it's essential to note that the content generated by Writesonic may require significant editing from the user. While the platform does an excellent job of generating content, it's essential to ensure it's clear, coherent, and tailored to the user's needs. If you're looking for a completely hands-off approach to content creation, Writesonic may not be the best option. However, for businesses that need to generate high-quality, engaging content quickly, Writesonic is an excellent choice.

Please read our full Writesonic review .

7. Al-Writer

✔️ You want a cheap package: You can get an AI writer for as little as $19/month.

✔️ You need clear sourcing: No better solution is available for providing sources for all text provided.

✔️ You want an easy solution: A very low learning curve exists.

❌ You want app integration: There's seamless integration with WordPress, but that's about it.

❌ You need marketing-specific tools: Sorry, this one doesn't have it.

❌ You want unlimited word generation: If you need to generate more than 120 articles per month, this is a very expensive solution.

AI-Writer is a unique word-generating tool that simplifies text creation and editing through an intuitive user interface. However, it may not be suitable for everyone.

Check out our in-depth AI-Writer review to see if it's the solution for you.

AI-Writer is a word generator that is easily accessible and is popular among freelancers and bloggers. It may not be as extensive as Anyword or CopyAI, which are primarily aimed at marketing and sales, but it serves its intended audience well.

One of the most significant advantages of AI-Writer is its unparalleled sourcing capabilities. It is the only AI content generator that cites sources for "everything it writes." Additionally, it updates its sources frequently, ensuring that any article generated by it sources the latest information on the subject. This is a significant advantage, particularly for those who are writing about current events or trending topics. With AI-Writer, writers can create content that is well-researched and accurate, without having to spend hours scouring the internet for sources.

Another significant advantage of AI-Writer is that it recognizes that not all types of content require sourcing. For instance, op-eds or personal essays don't usually require sources. AI-Writer recognizes this and hides sources and links from the main results page, making it easier for writers to focus on their content and not worry about sources.

One of the drawbacks of using AI-Writer is that its extensive sourcing process can cause a minor delay in generating results compared to other AI writing tools. Although this may not be a significant issue, the noticeable delay should be mentioned. For instance, alternative tools like GrammarlyGO offer results without hesitation. However, it is worth noting that the issue with AI-Writer is primarily due to its thorough sourcing process.

In conclusion, AI-Writer is an excellent tool for freelancers and bloggers who want to create high-quality content. It excels in sourcing capabilities, making it a go-to tool for writers who need well-researched and accurate content. Its ability to recognize when sourcing is not required is also an added advantage. While it may not be the fastest tool on the market, its thorough sourcing process is worth the wait.

Read our full AI-Writer review .

TechRadar's AI writer rankings

Numerous AI writing solutions are already available in the market, and we can expect more to arrive in the future. Have a look at our rankings of popular services below, and also check out the honorable mentions that currently can’t compete with the top services available.

What is an AI writer?

An AI writer is a revolutionary tool, capable of creating text and content without human help; it utilizes algorithms and machine learning to generate various AI content. From data-driven, high-value pieces to conversion-focused content perfect for marketing campaigns, AI writers can easily create just about any content.

As AI writing assistants gain exposure to various forms of real-world information, they gain proficiency in generating natural-sounding output. With their data coming from human sources, the output created also has a human-like quality. Much like how humans rely on existing content to craft something new, AI content tools scour the web for relevant data to fulfill the user's instructions, thus creating original content.

This, in a nutshell, explains what AI writing is and how it functions.

How to choose the best AI writer for you?

Let’s get this out of the way. Whichever platform you choose, you will have to do some editing, if you want to create useful texts.

Here are some of the factors you should consider when choosing the right tool for you:

1. Ease of use

Tools that don’t require technical knowledge or prior experience should be on the top of your list. Investment in good UI means that other aspects of the tool are also likely to be of a higher quality.

While this may not be popular with everyone, the price should play a major role in deciding which tool to go for. Some are simply overpriced while not offering much more than their lower-priced competition. Pay attention to the amount of content each price plan offers.

3. High-quality output

Despite the fact that, in the end, you will be editing the texts and images the tool creates, having a tool that creates high-quality content will mean less time spent on fixing mistakes and editing.

4. Integrations

If you’re running a blog or business and have been doing so for some time, you probably have your set of tools that you use for writing content. Making sure that the new AI platform syncs well with your existing toolbox can be essential for how long and how well you utilize the AI tool.

The list above is not exhaustive, but does offer a great starting point in your quest to find the best AI writing tool for your needs.

The best AI writers: How we test

During our assessment, we’ve evaluated various aspects such as the number of writing templates, categories, recipes, number of languages supported, grammar checkers, etc. Our goal was to create an extensive list of AI writing assistants that offer much more than simple rewording features.

We tested the overall capabilities of the AI software, the tool's interface and ease of use, monthly article limits, SEO optimization features, and pricing, among other aspects.

In addition, we gave each platform a test article to write for us (a simple topic) and checked its sentence structure and content relevance.

Read more on how we test, rate, and review products on TechRadar .

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Bryan M. Wolfe is a staff writer at TechRadar, iMore, and wherever Future can use him. Though his passion is Apple-based products, he doesn't have a problem using Windows and Android. Bryan's a single father of a 15-year-old daughter and a puppy, Isabelle. Thanks for reading!

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Artificial Intelligence Essay for Students and Children

500+ words essay on artificial intelligence.

Artificial Intelligence refers to the intelligence of machines. This is in contrast to the natural intelligence of humans and animals. With Artificial Intelligence, machines perform functions such as learning, planning, reasoning and problem-solving. Most noteworthy, Artificial Intelligence is the simulation of human intelligence by machines. It is probably the fastest-growing development in the World of technology and innovation . Furthermore, many experts believe AI could solve major challenges and crisis situations.

Types of Artificial Intelligence

First of all, the categorization of Artificial Intelligence is into four types. Arend Hintze came up with this categorization. The categories are as follows:

Type 1: Reactive machines – These machines can react to situations. A famous example can be Deep Blue, the IBM chess program. Most noteworthy, the chess program won against Garry Kasparov , the popular chess legend. Furthermore, such machines lack memory. These machines certainly cannot use past experiences to inform future ones. It analyses all possible alternatives and chooses the best one.

Type 2: Limited memory – These AI systems are capable of using past experiences to inform future ones. A good example can be self-driving cars. Such cars have decision making systems . The car makes actions like changing lanes. Most noteworthy, these actions come from observations. There is no permanent storage of these observations.

Type 3: Theory of mind – This refers to understand others. Above all, this means to understand that others have their beliefs, intentions, desires, and opinions. However, this type of AI does not exist yet.

Type 4: Self-awareness – This is the highest and most sophisticated level of Artificial Intelligence. Such systems have a sense of self. Furthermore, they have awareness, consciousness, and emotions. Obviously, such type of technology does not yet exist. This technology would certainly be a revolution .

Get the huge list of more than 500 Essay Topics and Ideas

Applications of Artificial Intelligence

First of all, AI has significant use in healthcare. Companies are trying to develop technologies for quick diagnosis. Artificial Intelligence would efficiently operate on patients without human supervision. Such technological surgeries are already taking place. Another excellent healthcare technology is IBM Watson.

Artificial Intelligence in business would significantly save time and effort. There is an application of robotic automation to human business tasks. Furthermore, Machine learning algorithms help in better serving customers. Chatbots provide immediate response and service to customers.

AI can greatly increase the rate of work in manufacturing. Manufacture of a huge number of products can take place with AI. Furthermore, the entire production process can take place without human intervention. Hence, a lot of time and effort is saved.

Artificial Intelligence has applications in various other fields. These fields can be military , law , video games , government, finance, automotive, audit, art, etc. Hence, it’s clear that AI has a massive amount of different applications.

To sum it up, Artificial Intelligence looks all set to be the future of the World. Experts believe AI would certainly become a part and parcel of human life soon. AI would completely change the way we view our World. With Artificial Intelligence, the future seems intriguing and exciting.

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ChatGPT: Everything you need to know about the AI-powered chatbot

ChatGPT, OpenAI’s text-generating AI chatbot, has taken the world by storm. What started as a tool to hyper-charge productivity through writing essays and code with short text prompts has evolved into a behemoth used by more than 92% of Fortune 500 companies for more wide-ranging needs. And that growth has propelled OpenAI itself into becoming one of the most-hyped companies in recent memory, even if CEO and co-founder Sam Altman’s firing and swift return raised concerns about its direction and opened the door for competitors.

What does that mean for OpenAI, ChatGPT and its other ambitions? The fallout is still settling, but it might empower competitors like Meta and its LLaMA family of large language models , or help other AI startups get attention and funding as the industry watches OpenAI implode and put itself back together.

While there is a more… nefarious side to ChatGPT, it’s clear that AI tools are not going away anytime soon. Since its initial launch nearly a year ago, ChatGPT has hit 100 million weekly active users , and OpenAI is heavily investing in it.

Prior to the leadership chaos, on November 6, OpenAI held its first developer conference: OpenAI DevDay. During the conference, it announced a slew of updates coming to GPT, including GPT-4 Turbo (a super-charged version of GPT-4 , its latest language-writing model) and a multimodal API . OpenAI also unveiled the GPT store , where users could create and monetize their own custom versions of GPT. Though the launch was delayed in December , it officially launched in January.

GPT-4, which can write more naturally and fluently than previous models, remains largely exclusive to paying ChatGPT users. But you can access GPT-4 for free through Microsoft’s Bing Chat in Microsoft Edge, Google Chrome and Safari web browsers. Beyond GPT-4 and OpenAI DevDay announcements, OpenAI recently connected ChatGPT to the internet for all users. And with the integration of DALL-E 3, users are also able to generate both text prompts and images right in ChatGPT.

Here’s a timeline of ChatGPT product updates and releases, starting with the latest, which we’ve been updating throughout the year. And if you have any other questions, check out our ChatGPT FAQ here .

Timeline of the most recent ChatGPT updates

February 2024, january 2024, december 2023.

November 2023

October 2023

September 2023, august 2023, february 2023, january 2023, december 2022, november 2022.

ChatGPT FAQs

The New York Times responds to OpenAI’s claims that it “hacked” ChatGPT for its copyright lawsuit

In a court filing opposing OpenAI’s motion to dismiss The New York Times’ lawsuit alleging copyright infringement, the newspaper asserted that “OpenAI’s attention-grabbing claim that The Times ‘hacked’ its products is as irrelevant as it is false.” The New York Times also claimed that some users of ChatGPT used the tool to bypass its paywalls.

OpenAI VP doesn’t say whether artists should be paid for training data

At a SXSW 2024 panel, Peter Deng, OpenAI’s VP of consumer product dodged a question on whether artists whose work was used to train generative AI models should be compensated . While OpenAI lets artists “opt out” of and remove their work from the datasets that the company uses to train its image-generating models, some artists have described the tool as onerous.

A new report estimates that ChatGPT uses more than half a million kilowatt-hours of electricity per day

ChatGPT’s environmental impact appears to be massive. According to a report from The New Yorker , ChatGPT uses an estimated 17,000 times the amount of electricity than the average U.S. household to respond to roughly 200 million requests each day.

ChatGPT can now read its answers aloud

OpenAI released a new Read Aloud feature for the web version of ChatGPT as well as the iOS and Android apps. The feature allows ChatGPT to read its responses to queries in one of five voice options and can speak 37 languages, according to the company. Read aloud is available on both GPT-4 and GPT-3.5 models.

ChatGPT can now read responses to you. On iOS or Android, tap and hold the message and then tap “Read Aloud”. We’ve also started rolling on web – click the "Read Aloud" button below the message. pic.twitter.com/KevIkgAFbG — OpenAI (@OpenAI) March 4, 2024

OpenAI partners with Dublin City Council to use GPT-4 for tourism

As part of a new partnership with OpenAI, the Dublin City Council will use GPT-4 to craft personalized itineraries for travelers, including recommendations of unique and cultural destinations, in an effort to support tourism across Europe.

A law firm used ChatGPT to justify a six-figure bill for legal services

New York-based law firm Cuddy Law was criticized by a judge for using ChatGPT to calculate their hourly billing rate . The firm submitted a $113,500 bill to the court, which was then halved by District Judge Paul Engelmayer, who called the figure “well above” reasonable demands.

ChatGPT experienced a bizarre bug for several hours

ChatGPT users found that ChatGPT was giving nonsensical answers for several hours , prompting OpenAI to investigate the issue. Incidents varied from repetitive phrases to confusing and incorrect answers to queries. The issue was resolved by OpenAI the following morning.

Match Group announced deal with OpenAI with a press release co-written by ChatGPT

The dating app giant home to Tinder, Match and OkCupid announced an enterprise agreement with OpenAI in an enthusiastic press release written with the help of ChatGPT . The AI tech will be used to help employees with work-related tasks and come as part of Match’s $20 million-plus bet on AI in 2024.

ChatGPT will now remember — and forget — things you tell it to

As part of a test, OpenAI began rolling out new “memory” controls for a small portion of ChatGPT free and paid users, with a broader rollout to follow. The controls let you tell ChatGPT explicitly to remember something, see what it remembers or turn off its memory altogether. Note that deleting a chat from chat history won’t erase ChatGPT’s or a custom GPT’s memories — you must delete the memory itself.

We’re testing ChatGPT's ability to remember things you discuss to make future chats more helpful. This feature is being rolled out to a small portion of Free and Plus users, and it's easy to turn on or off. https://t.co/1Tv355oa7V pic.twitter.com/BsFinBSTbs — OpenAI (@OpenAI) February 13, 2024

OpenAI begins rolling out “Temporary Chat” feature

Initially limited to a small subset of free and subscription users, Temporary Chat lets you have a dialogue with a blank slate. With Temporary Chat, ChatGPT won’t be aware of previous conversations or access memories but will follow custom instructions if they’re enabled.

But, OpenAI says it may keep a copy of Temporary Chat conversations for up to 30 days for “safety reasons.”

Use temporary chat for conversations in which you don’t want to use memory or appear in history. pic.twitter.com/H1U82zoXyC — OpenAI (@OpenAI) February 13, 2024

ChatGPT users can now invoke GPTs directly in chats

Paid users of ChatGPT can now bring GPTs into a conversation by typing “@” and selecting a GPT from the list. The chosen GPT will have an understanding of the full conversation, and different GPTs can be “tagged in” for different use cases and needs.

You can now bring GPTs into any conversation in ChatGPT – simply type @ and select the GPT. This allows you to add relevant GPTs with the full context of the conversation. pic.twitter.com/Pjn5uIy9NF — OpenAI (@OpenAI) January 30, 2024

ChatGPT is reportedly leaking usernames and passwords from users’ private conversations

Screenshots provided to Ars Technica found that ChatGPT is potentially leaking unpublished research papers, login credentials and private information from its users. An OpenAI representative told Ars Technica that the company was investigating the report.

ChatGPT is violating Europe’s privacy laws, Italian DPA tells OpenAI

OpenAI has been told it’s suspected of violating European Union privacy , following a multi-month investigation of ChatGPT by Italy’s data protection authority. Details of the draft findings haven’t been disclosed, but in a response, OpenAI said: “We want our AI to learn about the world, not about private individuals.”

OpenAI partners with Common Sense Media to collaborate on AI guidelines

In an effort to win the trust of parents and policymakers, OpenAI announced it’s partnering with Common Sense Media to collaborate on AI guidelines and education materials for parents, educators and young adults. The organization works to identify and minimize tech harms to young people and previously flagged ChatGPT as lacking in transparency and privacy .

OpenAI responds to Congressional Black Caucus about lack of diversity on its board

After a letter from the Congressional Black Caucus questioned the lack of diversity in OpenAI’s board, the company responded . The response, signed by CEO Sam Altman and Chairman of the Board Bret Taylor, said building a complete and diverse board was one of the company’s top priorities and that it was working with an executive search firm to assist it in finding talent.

OpenAI drops prices and fixes ‘lazy’ GPT-4 that refused to work

In a blog post , OpenAI announced price drops for GPT-3.5’s API, with input prices dropping to 50% and output by 25%, to $0.0005 per thousand tokens in, and $0.0015 per thousand tokens out. GPT-4 Turbo also got a new preview model for API use, which includes an interesting fix that aims to reduce “laziness” that users have experienced.

Expanding the platform for @OpenAIDevs : new generation of embedding models, updated GPT-4 Turbo, and lower pricing on GPT-3.5 Turbo. https://t.co/7wzCLwB1ax — OpenAI (@OpenAI) January 25, 2024

OpenAI bans developer of a bot impersonating a presidential candidate

OpenAI has suspended AI startup Delphi, which developed a bot impersonating Rep. Dean Phillips (D-Minn.) to help bolster his presidential campaign. The ban comes just weeks after OpenAI published a plan to combat election misinformation, which listed “chatbots impersonating candidates” as against its policy.

OpenAI announces partnership with Arizona State University

Beginning in February, Arizona State University will have full access to ChatGPT’s Enterprise tier , which the university plans to use to build a personalized AI tutor, develop AI avatars, bolster their prompt engineering course and more. It marks OpenAI’s first partnership with a higher education institution.

Winner of a literary prize reveals around 5% her novel was written by ChatGPT

After receiving the prestigious Akutagawa Prize for her novel The Tokyo Tower of Sympathy, author Rie Kudan admitted that around 5% of the book quoted ChatGPT-generated sentences “verbatim.” Interestingly enough, the novel revolves around a futuristic world with a pervasive presence of AI.

Sam Altman teases video capabilities for ChatGPT and the release of GPT-5

In a conversation with Bill Gates on the Unconfuse Me podcast, Sam Altman confirmed an upcoming release of GPT-5 that will be “fully multimodal with speech, image, code, and video support.” Altman said users can expect to see GPT-5 drop sometime in 2024.

OpenAI announces team to build ‘crowdsourced’ governance ideas into its models

OpenAI is forming a Collective Alignment team of researchers and engineers to create a system for collecting and “encoding” public input on its models’ behaviors into OpenAI products and services. This comes as a part of OpenAI’s public program to award grants to fund experiments in setting up a “democratic process” for determining the rules AI systems follow.

OpenAI unveils plan to combat election misinformation

In a blog post, OpenAI announced users will not be allowed to build applications for political campaigning and lobbying until the company works out how effective their tools are for “personalized persuasion.”

Users will also be banned from creating chatbots that impersonate candidates or government institutions, and from using OpenAI tools to misrepresent the voting process or otherwise discourage voting.

The company is also testing out a tool that detects DALL-E generated images and will incorporate access to real-time news, with attribution, in ChatGPT.

Snapshot of how we’re preparing for 2024’s worldwide elections: • Working to prevent abuse, including misleading deepfakes • Providing transparency on AI-generated content • Improving access to authoritative voting information https://t.co/qsysYy5l0L — OpenAI (@OpenAI) January 15, 2024

OpenAI changes policy to allow military applications

In an unannounced update to its usage policy , OpenAI removed language previously prohibiting the use of its products for the purposes of “military and warfare.” In an additional statement, OpenAI confirmed that the language was changed in order to accommodate military customers and projects that do not violate their ban on efforts to use their tools to “harm people, develop weapons, for communications surveillance, or to injure others or destroy property.”

ChatGPT subscription aimed at small teams debuts

Aptly called ChatGPT Team , the new plan provides a dedicated workspace for teams of up to 149 people using ChatGPT as well as admin tools for team management. In addition to gaining access to GPT-4, GPT-4 with Vision and DALL-E3, ChatGPT Team lets teams build and share GPTs for their business needs.

OpenAI’s GPT store officially launches

After some back and forth over the last few months, OpenAI’s GPT Store is finally here . The feature lives in a new tab in the ChatGPT web client, and includes a range of GPTs developed both by OpenAI’s partners and the wider dev community.

To access the GPT Store, users must be subscribed to one of OpenAI’s premium ChatGPT plans — ChatGPT Plus, ChatGPT Enterprise or the newly launched ChatGPT Team.

the GPT store is live! https://t.co/AKg1mjlvo2 fun speculation last night about which GPTs will be doing the best by the end of today. — Sam Altman (@sama) January 10, 2024

Developing AI models would be “impossible” without copyrighted materials, OpenAI claims

Following a proposed ban on using news publications and books to train AI chatbots in the U.K., OpenAI submitted a plea to the House of Lords communications and digital committee. OpenAI argued that it would be “impossible” to train AI models without using copyrighted materials, and that they believe copyright law “does not forbid training.”

OpenAI claims The New York Times’ copyright lawsuit is without merit

OpenAI published a public response to The New York Times’s lawsuit against them and Microsoft for allegedly violating copyright law, claiming that the case is without merit.

In the response , OpenAI reiterates its view that training AI models using publicly available data from the web is fair use. It also makes the case that regurgitation is less likely to occur with training data from a single source and places the onus on users to “act responsibly.”

We build AI to empower people, including journalists. Our position on the @nytimes lawsuit: • Training is fair use, but we provide an opt-out • "Regurgitation" is a rare bug we're driving to zero • The New York Times is not telling the full story https://t.co/S6fSaDsfKb — OpenAI (@OpenAI) January 8, 2024

OpenAI’s app store for GPTs planned to launch next week

After being delayed in December , OpenAI plans to launch its GPT Store sometime in the coming week, according to an email viewed by TechCrunch. OpenAI says developers building GPTs will have to review the company’s updated usage policies and GPT brand guidelines to ensure their GPTs are compliant before they’re eligible for listing in the GPT Store. OpenAI’s update notably didn’t include any information on the expected monetization opportunities for developers listing their apps on the storefront.

GPT Store launching next week – OpenAI pic.twitter.com/I6mkZKtgZG — Manish Singh (@refsrc) January 4, 2024

OpenAI moves to shrink regulatory risk in EU around data privacy

In an email, OpenAI detailed an incoming update to its terms, including changing the OpenAI entity providing services to EEA and Swiss residents to OpenAI Ireland Limited. The move appears to be intended to shrink its regulatory risk in the European Union, where the company has been under scrutiny over ChatGPT’s impact on people’s privacy.

Study finds white-collar workers are uneasy about using ChatGPT

A study conducted by professors from Harvard and MIT , which is still under review, looked at how ChatGPT could affect the productivity of more than 750 white-collar workers, as well as their complicated feelings about using the tool. The study found that while ChatGPT was helpful with creative tasks, workers were led to more mistakes with analytical work.

The New York Times sues OpenAI and Microsoft over alleged copyright infringement

In a lawsuit filed in the Federal District Court in Manhattan , The Times argues that millions of its articles were used to train AI models without its consent. The Times is asking for OpenAI and Microsoft to “destroy” models and training data containing offending material and to be held responsible for “billions of dollars in statutory and actual damages.”

OpenAI re-opens ChatGPT Plus subscriptions

After pausing ChatGPT Plus subscriptions in November due to a “surge of usage,” OpenAI CEO Sam Altman announced they have once again enabled sign-ups. The Plus subscription includes access to GPT-4 and GPT-4 Turbo .

we have re-enabled chatgpt plus subscriptions! 🎄 thanks for your patience while we found more gpus. — Sam Altman (@sama) December 13, 2023

OpenAI and Axel Springer partner up for a “real-time” ChatGPT news deal

OpenAI has struck a new deal with Berlin-based news publisher Axel Springer , which owns Business Insider and Politico, to “help provide people with new ways to access quality, real-time news content through our AI tools.” OpenAI will train its generative AI models on the publisher’s content and add recent Axel Springer-published articles to ChatGPT.

Stanford researchers say ChatGPT didn’t cause an influx in cheating in high schools

New research from Stanford University shows that the popularization of chatbots like ChatGPT has not caused an increase in cheating across U.S. high schools. In a survey of more than 40 U.S. high schools, researchers found that cheating rates are similar across the board this year.

ChatGPT users worry the chatbot is experiencing seasonal depression

Starting in November, ChatGPT users have noticed that the chatbot feels “lazier” than normal, citing instances of simpler answers and refusing to complete requested tasks. OpenAI has confirmed that they are aware of this issue , but aren’t sure why it’s happening.

Some users think it plays into the “winter break hypothesis,” which argues that AI is worse in December because it “learned” to do less work over the holidays , while others wonder if the chatbot is simulating seasonal depression .

we've heard all your feedback about GPT4 getting lazier! we haven't updated the model since Nov 11th, and this certainly isn't intentional. model behavior can be unpredictable, and we're looking into fixing it 🫡 — ChatGPT (@ChatGPTapp) December 8, 2023

Judges in the U.K. are now allowed to use ChatGPT in legal rulings

The U.K. Judicial Office issued guidance that permits judges to use ChatGPT, along with other AI tools, to write legal rulings and perform court duties. The guidance lays out ways to responsibly use AI in the courts, including being aware of potential bias and upholding privacy.

OpenAI makes repeating words “forever” a violation of its terms of service after Google DeepMind test

Following an experiment by Google DeepMind researchers that led ChatGPT to repeat portions of its training data, OpenAI has flagged asking ChatGPT to repeat specific words “forever” as a violation of its terms of service .

Lawmakers in Brazil enact an ordinance written by ChatGPT

City lawmakers in Brazil enacted a piece of legislation written entirely by ChatGPT without even knowing. Weeks after the bill was passed, Porto Alegre councilman Ramiro Rosário admitted that he used ChatGPT to write the proposal, and did not tell fellow council members until after the fact.

OpenAI reportedly delays the launch of its GPT store to 2024

According to a memo seen by Axios , OpenAI plans to delay the launch of its highly anticipated GPT store to early 2024. Custom GPTs and the accompanying store was a major announcement at OpenAI’s DevDay conference , with the store expected to open last month.

November 2023

Chatgpts mobile apps top 110m installs and nearly $30m in revenue.

After launching for iOS and Androidin May and July, ChatGPT’s have topped 110 million combined installs and have reached nearly $30 million in consumer spending, according to a market analysis by data.ai.

ChatGPT celebrates one-year anniversary

OpenAI hit a major milestone: one year of ChatGPT . What began as a “low-key research preview” evolved into a powerhouse that changed the AI industry forever. In a post on X , CEO Sam Altman looked back on the night before its launch: “what a year it’s been…”

a year ago tonight we were probably just sitting around the office putting the finishing touches on chatgpt before the next morning’s launch. what a year it’s been… — Sam Altman (@sama) November 30, 2023

Apple and Google avoid naming ChatGPT as their ‘app of the year’

Neither Apple nor Google chose an AI app as its app of the year for 2023, despite the success of ChatGPT’s mobile app, which became the fastest-growing consumer application in history before the record was broken by Meta’s Threads .

An attack from researchers prompts ChatGPT to reveal training data

A test led by researchers at Google DeepMind found that there is a significant amount of privately identifiable information in OpenAI’s LLMs. The test involved asking ChatGPT to repeat the word “poem” forever, among other words, which over time led the chatbot to churn out private information like email addresses and phone numbers.

ChatGPT and other AI chatbots are fueling an increase in phishing emails

According to a new report by SlashNext , there’s been a 1,265% increase in malicious phishing emails since Q4 of 2022. The report alleges that AI tools like ChatGPT are being prominently used by cybercriminals to write compelling and sophisticated phishing emails .

South Africa officials investigate if President Cyril Ramaphosa used ChatGPT to write a speech

Following speculation, social media users fed portions of Ramaphosa’s November 21 speech in Johannesburg through AI detectors , alleging parts of it may have been written with ChatGPT. South African presidency spokesperson Vincent Magwenya refuted the claims, and local officials are investigating.

ChatGPT Voice can be used to replace Siri

Now that OpenAI’s ChatGPT Voice feature is available to all free users, it can be used to replace Siri on an iPhone 15 Pro and Pro Max by configuring the new Action Button. The new feature lets you ask ChatGPT questions and listen to its responses — like a much smarter version of Siri.

Sam Altman returns as CEO

Altman’s return came swiftly , with an “agreement in principle” announced between him and OpenAI’s board that will reinstate him as CEO and restructure the board to include new members, including former U.S. Treasury Secretary Larry Summers . The biggest takeaway for ChatGPT is that the members of the board more focused on the nonprofit side of OpenAI, with the most concerns over the commercialization of its tools, have been pushed to the side .

ChatGPT Voice rolls out to all free users

Even if its leadership is in flux, OpenAI is still releasing updates to ChatGPT . First announced in September and granted to paid users on a rolling basis, the text-to-speech model can create a voice from text prompts and a few seconds of speech samples. OpenAI worked with voice actors to create the five voice options, and you can give it a shot by heading to the settings in your mobile ChatGPT apps and tapping the “headphones” icon.

Sam Altman might return, but it’s complicated

The only constant within OpenAI right now is change, and in a series of interviews, Nadella hedged on earlier reporting that Altman and Brockman were headed to Microsoft .

“Obviously, we want Sam and Greg to have a fantastic home if they’re not going to be in OpenAI,” Nadella said in an interview with CNBC, saying that we was “open” to them settling at Microsoft or returning to OpenAI should the board and employees support the move.

Confirmation Sam Altman will not return as OpenAI’s CEO

A number of investors and OpenAI employees tried to bring back Altman after his sudden firing by the company’s board, but following a weekend of negotiations, it was confirmed that Altman would not return to OpenAI and new leadership would take hold. What this means for ChatGPT’s future, and for the OpenAI Dev Day announcements , remains to be seen.

Sam Altman ousted as OpenAI’s CEO

Sam Altman has been fired from OpenAI . He will leave the company’s board and step down as CEO, with OpenAI’s chief technology officer Mira Murati stepping in as interim CEO. In a blog post from OpenAI, the company writes that the board “no longer has confidence in [Altman’s] ability to continue leading OpenAI.”

In a statement on X , Altman said working at OpenAI “was transformative” for him and “hopefully the world.”

OpenAI explores how ChatGPT can be used in the classroom

OpenAI COO Brad Lightcap revealed at a San Francisco conference that the company will likely create a team to identify ways AI and ChatGPT can be used in education . This announcement comes at a time when ChatGPT is being criticized by educators for encouraging cheating , resulting in bans in certain school districts .

OpenAI pauses new ChatGPT Plus subscriptions due to a “surge of usage”

Following OpenAI’s Dev Day conference , Sam Altman announced the company is putting a pause on new subscriptions for its premium ChatGPT Plus offering. The temporary hold on sign-ups, as well as the demand for ChatGPT Plus’ new features like making custom GPTS , has led to a slew of resellers on eBay .

ChatGPT gets flagged as potentially unsafe for kids

An independent review from Common Sense Media, a nonprofit advocacy group, found that ChatGPT could potentially be harmful for younger users. ChatGPT got an overall three-star rating in the report, with its lowest ratings relating to transparency, privacy, trust and safety.

OpenAI blames DDoS attack for ChatGPT outage

OpenAI confirmed that a DDoS attack was behind outages affecting ChatGPT and its developer tools. ChatGPT experienced sporadic outages for about 24 hours, resulting in users being unable to log into or use the service.

OpenAI debuts GPT-4 Turbo

OpenAI unveiled GPT-4 Turbo at its first-ever OpenAI DevDay conference. GPT-4 Turbo comes in two versions: one that’s strictly text-analyzing and another that understands the context of both text and images.

GPT-4 gets a fine-tuning

As opposed to the fine-tuning program for GPT-3.5, the GPT-4 program will involve more oversight and guidance from OpenAI teams, the company says — largely due to technical hurdles.

OpenAI’s GPT Store lets you build (and monetize) your own GPT

Users and developers will soon be able to make their own GPT , with no coding experience required. Anyone building their own GPT will also be able to list it on OpenAI’s marketplace and monetize it in the future.

ChatGPT has 100 million weekly active users

After being released nearly a year ago, ChatGPT has 100 million weekly active users . OpenAI CEO Sam Altman also revealed that over two million developers use the platform, including more than 92% of Fortune 500 companies.

OpenAI launches DALL-E 3 API, new text-to-speech models

DALL-E 3, OpenAI’s text-to-image model , is now available via an API after first coming to ChatGPT-4 and Bing Chat. OpenAI’s newly released text-to-speech API, Audio API, offers six preset voices to choose from and two generative AI model variants.

OpenAI promises to defend business customers against copyright claims

Bowing to peer pressure, OpenAI it will pay legal costs incurred by customers who face lawsuits over IP claims against work generated by an OpenAI tool. The protections seemingly don’t extend to all OpenAI products, like the free and Plus tiers of ChatGPT.

As OpenAI’s multimodal API launches broadly, research shows it’s still flawed

OpenAI announced that GPT-4 with vision will become available alongside the upcoming launch of GPT-4 Turbo API. But some researchers found that the model remains flawed in several significant and problematic ways.

OpenAI launches API, letting developers build ‘assistants’ into their apps

At its OpenAI DevDay, OpenAI announced the Assistants API to help developers build “agent-like experiences” within their apps. Use cases range from a natural language-based data analysis app to a coding assistant or even an AI-powered vacation planner.

ChatGPT app revenue shows no signs of slowing, but it’s not #1

OpenAI’s chatbot app far outpaces all others on mobile devices in terms of downloads, but it’s surprisingly not the top AI app by revenue . Several other AI chatbots, like “Chat & Ask AI” and “ChatOn — AI Chat Bot Assistant”, are actually making more money than ChatGPT.

ChatGPT tests the ability to upload and analyze files for Plus users

Subscribers to ChatGPT’s Enterprise Plan have reported new beta features, including the ability to upload PDFs to analyze and and ask questions about them directly. The new rollout also makes it so users no longer have to manually select a mode like DALL-E and browsing when using ChatGPT. Instead, users will automatically be switched to models based on the prompt.

ChatGPT officially gets web search

OpenAI has formally launched its internet-browsing feature to ChatGPT, some three weeks after re-introducing the feature in beta after several months in hiatus. The AI chatbot that has historically been limited to data up to September, 2021.

OpenAI integrates DALL-E 3 into ChatGPT

The integration means users don’t have to think so carefully about their text-prompts when asking DALL-E to create an image. Users will also now be able to receive images as part of their text-based queries without having to switch between apps.

Microsoft-affiliated research finds flaws in GPT-4

A Microsoft-affiliated scientific paper looked at the “trustworthiness” — and toxicity — of LLMs, including GPT-4. Because GPT-4 is more likely to follow the instructions of “jailbreaking” prompts, the co-authors claim that GPT-4 can be more easily prompted than other LLMs to spout toxic, biased text .

ChatGPT’s mobile app hits record $4.58M in revenue in September

OpenAI amassed 15.6 million downloads and nearly $4.6 million in gross revenue across its iOS and Android apps worldwide in September. But revenue growth has now begun to slow , according to new data from market intelligence firm Appfigures — dropping from 30% to 20% in September.

ChatGPT can now browse the internet (again)

OpenAI posted on Twitter/X that ChatGPT can now browse the internet and is no longer limited to data before September 2021. The chatbot had a web browsing capability for Plus subscribers back in July , but the feature was taken away after users exploited it to get around paywalls.

ChatGPT can now browse the internet to provide you with current and authoritative information, complete with direct links to sources. It is no longer limited to data before September 2021. pic.twitter.com/pyj8a9HWkB — OpenAI (@OpenAI) September 27, 2023

ChatGPT now has a voice

OpenAI announced that it’s adding a new voice for verbal conversations and image-based smarts to the AI-powered chatbot.

Poland opens an investigation against OpenAI

The Polish authority publically announced it has opened an investigation regarding ChatGPT — accusing the company of a string of breaches of the EU’s General Data Protection Regulation (GDPR).

OpenAI unveils DALL-E 3

The upgraded text-to-image tool, DALL-E 3, uses ChatGPT to help fill in prompts. Subscribers to OpenAI’s premium ChatGPT plans, ChatGPT Plus and ChatGPT Enterprise , can type in a request for an image and hone it through conversations with the chatbot — receiving the results directly within the chat app.

Opera GX integrates ChatGPT-powered AI

Powered by OpenAI’s ChatGPT, the AI browser Aria launched on Opera in May to give users an easier way to search, ask questions and write code. Today, the company announced it is bringing Aria to Opera GX , a version of the flagship Opera browser that is built for gamers.

The new feature allows Opera GX users to interact directly with a browser AI to find the latest gaming news and tips.

OpenAI releases a guide for teachers using ChatGPT in the classroom

OpenAI wants to rehabilitate the system’s image a bit when it comes to education, as ChatGPT has been controversial in the classroom due to plagiarism. OpenAI has offered up a selection of ways to put the chatbot to work in the classroom.

OpenAI launches ChatGPT Enterprise

ChatGPT Enterprise can perform the same tasks as ChatGPT, such as writing emails, drafting essays and debugging computer code. However, the new offering also adds “enterprise-grade” privacy and data analysis capabilities on top of the vanilla ChatGPT, as well as enhanced performance and customization options.

Survey finds relatively few American use ChatGPT

Recent Pew polling suggests the language model isn’t quite as popular or threatening as some would have you think. Ongoing polling by Pew Research shows that although ChatGPT is gaining mindshare, only about 18% of Americans have ever actually used it .

OpenAI brings fine-tuning to GPT-3.5 Turbo

With fine-tuning, companies using GPT-3.5 Turbo through the company’s API can make the model better follow specific instructions. For example, having the model always respond in a given language. Or improving the model’s ability to consistently format responses, as well as hone the “feel” of the model’s output, like its tone, so that it better fits a brand or voice. Most notably, fine-tuning enables OpenAI customers to shorten text prompts to speed up API calls and cut costs.

OpenAI is partnering with Scale AI to allow companies to fine-tune GPT-3.5 . However, it is unclear whether OpenAI is developing an in-house tuning tool that is meant to complement platforms like Scale AI or serve a different purpose altogether.

Fine-tuning costs:

Training: $0.008 / 1K tokens
Usage input: $0.012 / 1K tokens
Usage output: $0.016 / 1K tokens

OpenAI acquires Global Illumination

In OpenAI’s first public acquisition in its seven-year history, the company announced it has acquired Global Illumination, a New York-based startup leveraging AI to build creative tools, infrastructure and digital experiences.

“We’re very excited for the impact they’ll have here at OpenAI,” OpenAI wrote in a brief post published to its official blog. “The entire team has joined OpenAI to work on our core products including ChatGPT.”

The ‘custom instructions’ feature is extended to free ChatGPT users

OpenAI announced that it’s expanding custom instructions to all users, including those on the free tier of service. The feature allows users to add various preferences and requirements that they want the AI chatbot to consider when responding.

China requires AI apps to obtain an administrative license

Multiple generative AI apps have been removed from Apple’s China App Store ahead of the country’s latest generative AI regulations that are set to take effect August 15.

“As you may know, the government has been tightening regulations associated with deep synthesis technologies (DST) and generative AI services, including ChatGPT. DST must fulfill permitting requirements to operate in China, including securing a license from the Ministry of Industry and Information Technology (MIIT),” Apple said in a letter to OpenCat, a native ChatGPT client. “Based on our review, your app is associated with ChatGPT, which does not have requisite permits to operate in China.”

ChatGPT for Android is now available in the US, India, Bangladesh and Brazil

A few days after putting up a preorder page on Google Play, OpenAI has flipped the switch and released ChatGPT for Android . The app is now live in a handful of countries.

ChatGPT is coming to Android

ChatGPT is available to “pre-order” for Android users.

The ChatGPT app on Android looks to be more or less identical to the iOS one in functionality, meaning it gets most if not all of the web-based version’s features. You should be able to sync your conversations and preferences across devices, too — so if you’re iPhone at home and Android at work, no worries.

OpenAI launches customized instructions for ChatGPT

OpenAI launched custom instructions for ChatGPT users , so they don’t have to write the same instruction prompts to the chatbot every time they interact with it.

The company said this feature lets you “share anything you’d like ChatGPT to consider in its response.” For example, a teacher can say they are teaching fourth-grade math or a developer can specify the code language they prefer when asking for suggestions. A person can also specify their family size, so the text-generating AI can give responses about meals, grocery and vacation planning accordingly.

The FTC is reportedly investigating OpenAI

The FTC is reportedly in at least the exploratory phase of investigation over whether OpenAI’s flagship ChatGPT conversational AI made “false, misleading, disparaging or harmful” statements about people.

TechCrunch Reporter Devin Coldewey reports:

This kind of investigation doesn’t just appear out of thin air — the FTC doesn’t look around and say “That looks suspicious.” Generally a lawsuit or formal complaint is brought to their attention and the practices described by it imply that regulations are being ignored. For example, a person may sue a supplement company because the pills made them sick, and the FTC will launch an investigation on the back of that because there’s evidence the company lied about the side effects.

OpenAI announced the general availability of GPT-4

Starting July 6, all existing OpenAI developers “with a history of successful payments” can access GPT-4 . OpenAI plans to open up access to new developers by the end of July.

In the future, OpenAI says that it’ll allow developers to fine-tune GPT-4 and GPT-3.5 Turbo , one of the original models powering ChatGPT, with their own data, as has long been possible with several of OpenAI’s other text-generating models. That capability should arrive later this year, according to OpenAI.

ChatGPT app can now search the web only on Bing

OpenAI announced that subscribers to ChatGPT Plus can now use a new feature on the app called Browsing , which allows ChatGPT to search Bing for answers to questions.

The Browsing feature can be enabled by heading to the New Features section of the app settings, selecting “GPT-4” in the model switcher and choosing “Browse with Bing” from the drop-down list. Browsing is available on both the iOS and Android ChatGPT apps.

Mercedes is adding ChatGPT to its infotainment system

U.S. owners of Mercedes models that use MBUX will be able to opt into a beta program starting June 16 activating the ChatGPT functionality . This will enable the highly versatile large language model to augment the car’s conversation skills. You can join up simply by telling your car “Hey Mercedes, I want to join the beta program.”

It’s not really clear what for, though.

ChatGPT app is now available on iPad, adds support for Siri and Shortcuts

The new ChatGPT app version brings native iPad support to the app , as well as support for using the chatbot with Siri and Shortcuts. Drag and drop is also now available, allowing users to drag individual messages from ChatGPT into other apps.

On iPad, ChatGPT now runs in full-screen mode, optimized for the tablet’s interface.

Texas judge orders all AI-generated content must be declared and checked

The Texas federal judge has added a requirement that any attorney appearing in his court must attest that “no portion of the filing was drafted by generative artificial intelligence,” or if it was, that it was checked “by a human being.”

ChatGPT app expanded to more than 30 countries

The list of new countries includes Algeria, Argentina, Azerbaijan, Bolivia, Brazil, Canada, Chile, Costa Rica, Ecuador, Estonia, Ghana, India, Iraq, Israel, Japan, Jordan, Kazakhstan, Kuwait, Lebanon, Lithuania, Mauritania, Mauritius, Mexico, Morocco, Namibia, Nauru, Oman, Pakistan, Peru, Poland, Qatar, Slovenia, Tunisia and the United Arab Emirates.

ChatGPT app is now available in 11 more countries

OpenAI announced in a tweet that the ChatGPT mobile app is now available on iOS in the U.S., Europe, South Korea and New Zealand, and soon more will be able to download the app from the app store. In just six days, the app topped 500,000 downloads .

The ChatGPT app for iOS is now available to users in 11 more countries — Albania, Croatia, France, Germany, Ireland, Jamaica, Korea, New Zealand, Nicaragua, Nigeria, and the UK. More to come soon! — OpenAI (@OpenAI) May 24, 2023

OpenAI launches a ChatGPT app for iOS

ChatGPT is officially going mobile . The new ChatGPT app will be free to use, free from ads and will allow for voice input, the company says, but will initially be limited to U.S. users at launch.

When using the mobile version of ChatGPT, the app will sync your history across devices — meaning it will know what you’ve previously searched for via its web interface, and make that accessible to you. The app is also integrated with Whisper , OpenAI’s open source speech recognition system, to allow for voice input.

Hackers are using ChatGPT lures to spread malware on Facebook

Meta said in a report on May 3 that malware posing as ChatGPT was on the rise across its platforms . The company said that since March 2023, its security teams have uncovered 10 malware families using ChatGPT (and similar themes) to deliver malicious software to users’ devices.

“In one case, we’ve seen threat actors create malicious browser extensions available in official web stores that claim to offer ChatGPT-based tools,” said Meta security engineers Duc H. Nguyen and Ryan Victory in a blog post . “They would then promote these malicious extensions on social media and through sponsored search results to trick people into downloading malware.”

ChatGPT parent company OpenAI closes $300M share sale at $27B-29B valuation

VC firms including Sequoia Capital, Andreessen Horowitz, Thrive and K2 Global are picking up new shares, according to documents seen by TechCrunch. A source tells us Founders Fund is also investing. Altogether the VCs have put in just over $300 million at a valuation of $27 billion to $29 billion . This is separate to a big investment from Microsoft announced earlier this year , a person familiar with the development told TechCrunch, which closed in January. The size of Microsoft’s investment is believed to be around $10 billion, a figure we confirmed with our source.

OpenAI previews new subscription tier, ChatGPT Business

Called ChatGPT Business, OpenAI describes the forthcoming offering as “for professionals who need more control over their data as well as enterprises seeking to manage their end users.”

“ChatGPT Business will follow our API’s data usage policies, which means that end users’ data won’t be used to train our models by default,” OpenAI wrote in a blog post. “We plan to make ChatGPT Business available in the coming months.”

OpenAI wants to trademark “GPT”

OpenAI applied for a trademark for “GPT,” which stands for “Generative Pre-trained Transformer,” last December. Last month, the company petitioned the USPTO to speed up the process, citing the “myriad infringements and counterfeit apps” beginning to spring into existence.

Unfortunately for OpenAI, its petition was dismissed last week. According to the agency, OpenAI’s attorneys neglected to pay an associated fee as well as provide “appropriate documentary evidence supporting the justification of special action.”

That means a decision could take up to five more months.

Auto-GPT is Silicon Valley’s latest quest to automate everything

Auto-GPT is an open-source app created by game developer Toran Bruce Richards that uses OpenAI’s latest text-generating models, GPT-3.5 and GPT-4, to interact with software and services online, allowing it to “autonomously” perform tasks.

Depending on what objective the tool’s provided, Auto-GPT can behave in very… unexpected ways. One Reddit user claims that, given a budget of $100 to spend within a server instance, Auto-GPT made a wiki page on cats, exploited a flaw in the instance to gain admin-level access and took over the Python environment in which it was running — and then “killed” itself.

FTC warns that AI technology like ChatGPT could ‘turbocharge’ fraud

FTC chair Lina Khan and fellow commissioners warned House representatives of the potential for modern AI technologies, like ChatGPT, to be used to “turbocharge” fraud in a congressional hearing .

“AI presents a whole set of opportunities, but also presents a whole set of risks,” Khan told the House representatives. “And I think we’ve already seen ways in which it could be used to turbocharge fraud and scams. We’ve been putting market participants on notice that instances in which AI tools are effectively being designed to deceive people can place them on the hook for FTC action,” she stated.

Superchat’s new AI chatbot lets you message historical and fictional characters via ChatGPT

The company behind the popular iPhone customization app Brass , sticker maker StickerHub and others is out today with a new AI chat app called SuperChat , which allows iOS users to chat with virtual characters powered by OpenAI’s ChatGPT . However, what makes the app different from the default experience or the dozens of generic AI chat apps now available are the characters offered which you can use to engage with SuperChat’s AI features.

Italy gives OpenAI to-do list for lifting ChatGPT suspension order

Italy’s data protection watchdog has laid out what OpenAI needs to do for it to lift an order against ChatGPT issued at the end of last month — when it said it suspected the AI chatbot service was in breach of the EU’s GSPR and ordered the U.S.-based company to stop processing locals’ data.

The DPA has given OpenAI a deadline — of April 30 — to get the regulator’s compliance demands done. (The local radio, TV and internet awareness campaign has a slightly more generous timeline of May 15 to be actioned.)

Researchers discover a way to make ChatGPT consistently toxic

A study co-authored by scientists at the Allen Institute for AI shows that assigning ChatGPT a “persona” — for example, “a bad person,” “a horrible person” or “a nasty person” — through the ChatGPT API increases its toxicity sixfold. Even more concerning, the co-authors found having the conversational AI chatbot pose as certain historical figures, gendered people and members of political parties also increased its toxicity — with journalists, men and Republicans in particular causing the machine learning model to say more offensive things than it normally would.

The research was conducted using the latest version, but not the model currently in preview based on OpenAI’s GPT-4 .

Y Combinator-backed startups are trying to build ‘ChatGPT for X’

YC Demo Day’s Winter 2023 batch features no fewer than four startups that claim to be building “ChatGPT for X.” They’re all chasing after a customer service software market that’ll be worth $58.1 billion by 2023, assuming the rather optimistic prediction from Acumen Research comes true.

Here are the YC-backed startups that caught our eye:

Yuma , whose customer demographic is primarily Shopify merchants, provides ChatGPT-like AI systems that integrate with help desk software, suggesting drafts of replies to customer tickets.
Baselit , which uses one of OpenAI’s text-understanding models to allow businesses to embed chatbot-style analytics for their customers.
Lasso customers send descriptions or videos of the processes they’d like to automate and the company combines ChatGPT-like interface with robotic process automation (RPA) and a Chrome extension to build out those automations.
BerriAI , whose platform is designed to help developers spin up ChatGPT apps for their organization data through various data connectors.

Italy orders ChatGPT to be blocked

OpenAI has started geoblocking access to its generative AI chatbot, ChatGPT, in Italy .

Italy’s data protection authority has just put out a timely reminder that some countries do have laws that already apply to cutting edge AI: it has ordered OpenAI to stop processing people’s data locally with immediate effect. The Italian DPA said it’s concerned that the ChatGPT maker is breaching the European Union’s General Data Protection Regulation (GDPR), and is opening an investigation.

1,100+ signatories signed an open letter asking all ‘AI labs to immediately pause for 6 months’

The letter’s signatories include Elon Musk, Steve Wozniak and Tristan Harris of the Center for Humane Technology, among others. The letter calls on “all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4.”

The letter reads:

Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable.

OpenAI connects ChatGPT to the internet

OpenAI launched plugins for ChatGPT, extending the bot’s functionality by granting it access to third-party knowledge sources and databases, including the web. Available in alpha to ChatGPT users and developers on the waitlist , OpenAI says that it’ll initially prioritize a small number of developers and subscribers to its premium ChatGPT Plus plan before rolling out larger-scale and API access.

OpenAI launches GPT-4, available through ChatGPT Plus

GPT-4 is a powerful image- and text-understanding AI model from OpenAI. Released March 14, GPT-4 is available for paying ChatGPT Plus users and through a public API. Developers can sign up on a waitlist to access the API.

ChatGPT is available in Azure OpenAI service

ChatGPT is generally available through the Azure OpenAI Service , Microsoft’s fully managed, corporate-focused offering. Customers, who must already be “Microsoft managed customers and partners,” can apply here for special access .

OpenAI launches an API for ChatGPT

OpenAI makes another move toward monetization by launching a paid API for ChatGPT . Instacart, Snap (Snapchat’s parent company) and Quizlet are among its initial customers.

Microsoft launches the new Bing, with ChatGPT built in

At a press event in Redmond, Washington, Microsoft announced its long-rumored integration of OpenAI’s GPT-4 model into Bing , providing a ChatGPT-like experience within the search engine. The announcement spurred a 10x increase in new downloads for Bing globally, indicating a sizable consumer demand for new AI experiences.

Other companies beyond Microsoft joined in on the AI craze by implementing ChatGPT, including OkCupid , Kaito , Snapchat and Discord — putting the pressure on Big Tech’s AI initiatives, like Google .

OpenAI launches ChatGPT Plus, starting at $20 per month

After ChatGPT took the internet by storm, OpenAI launched a new pilot subscription plan for ChatGPT called ChatGPT Plus , aiming to monetize the technology starting at $20 per month. A month prior, OpenAI posted a waitlist for “ChatGPT Professional” as the company began to think about monetizing the chatbot.

OpenAI teases ChatGPT Professional

OpenAI said that it’s “starting to think about how to monetize ChatGPT” in an announcement on the company’s official Discord server. According to a waitlist link OpenAI posted in Discord, the monetized version will be called ChatGPT Professional . The waitlist document includes the benefits of this new paid version of the chatbot which include no “blackout” windows, no throttling and an unlimited number of messages with ChatGPT — “at least 2x the regular daily limit.”

ShareGPT lets you easily share your ChatGPT conversations

A week after ChatGPT was released into the wild , two developers — Steven Tey and Dom Eccleston — made a Chrome extension called ShareGPT to make it easier to capture and share the AI’s answers with the world.

ChatGPT first launched to the public as OpenAI quietly released GPT-3.5

GPT-3.5 broke cover with ChatGPT , a fine-tuned version of GPT-3.5 that’s essentially a general-purpose chatbot. ChatGPT can engage with a range of topics, including programming, TV scripts and scientific concepts. Writers everywhere rolled their eyes at the new technology, much like artists did with OpenAI’s DALL-E model , but the latest chat-style iteration seemingly broadened its appeal and audience.

What is ChatGPT? How does it work?

ChatGPT is a general-purpose chatbot that uses artificial intelligence to generate text after a user enters a prompt, developed by tech startup OpenAI . The chatbot uses GPT-4, a large language model that uses deep learning to produce human-like text.

When did ChatGPT get released?

November 30, 2022 is when ChatGPT was released for public use.

What is the latest version of ChatGPT?

Both the free version of ChatGPT and the paid ChatGPT Plus are regularly updated with new GPT models. The most recent model is GPT-4 .

Can I use ChatGPT for free?

There is a free version of ChatGPT that only requires a sign-in in addition to the paid version, ChatGPT Plus .

Who uses ChatGPT?

Anyone can use ChatGPT! More and more tech companies and search engines are utilizing the chatbot to automate text or quickly answer user questions/concerns.

What companies use ChatGPT?

Multiple enterprises utilize ChatGPT, although others may limit the use of the AI-powered tool .

Most recently, Microsoft announced at it’s 2023 Build conference that it is integrating it ChatGPT-based Bing experience into Windows 11. A Brooklyn-based 3D display startup Looking Glass utilizes ChatGPT to produce holograms you can communicate with by using ChatGPT. And nonprofit organization Solana officially integrated the chatbot into its network with a ChatGPT plug-in geared toward end users to help onboard into the web3 space.

What does GPT mean in ChatGPT?

GPT stands for Generative Pre-Trained Transformer.

What’s the difference between ChatGPT and Bard?

Much like OpenAI’s ChatGPT, Bard is a chatbot that will answer questions in natural language. Google announced at its 2023 I/O event that it will soon be adding multimodal content to Bard, meaning that it can deliver answers in more than just text, responses can give you rich visuals as well. Rich visuals mean pictures for now, but later can include maps, charts and other items.

ChatGPT’s generative AI has had a longer lifespan and thus has been “learning” for a longer period of time than Bard.

What is the difference between ChatGPT and a chatbot?

A chatbot can be any software/system that holds dialogue with you/a person but doesn’t necessarily have to be AI-powered. For example, there are chatbots that are rules-based in the sense that they’ll give canned responses to questions.

ChatGPT is AI-powered and utilizes LLM technology to generate text after a prompt.

Can ChatGPT write essays?

Can chatgpt commit libel.

Due to the nature of how these models work , they don’t know or care whether something is true, only that it looks true. That’s a problem when you’re using it to do your homework, sure, but when it accuses you of a crime you didn’t commit, that may well at this point be libel.

We will see how handling troubling statements produced by ChatGPT will play out over the next few months as tech and legal experts attempt to tackle the fastest moving target in the industry.

Does ChatGPT have an app?

Yes, there is now a free ChatGPT app that is currently limited to U.S. iOS users at launch. OpenAi says an android version is “coming soon.”

What is the ChatGPT character limit?

It’s not documented anywhere that ChatGPT has a character limit. However, users have noted that there are some character limitations after around 500 words.

Does ChatGPT have an API?

Yes, it was released March 1, 2023.

What are some sample everyday uses for ChatGPT?

Everyday examples include programing, scripts, email replies, listicles, blog ideas, summarization, etc.

What are some advanced uses for ChatGPT?

Advanced use examples include debugging code, programming languages, scientific concepts, complex problem solving, etc.

How good is ChatGPT at writing code?

It depends on the nature of the program. While ChatGPT can write workable Python code, it can’t necessarily program an entire app’s worth of code. That’s because ChatGPT lacks context awareness — in other words, the generated code isn’t always appropriate for the specific context in which it’s being used.

Can you save a ChatGPT chat?

Yes. OpenAI allows users to save chats in the ChatGPT interface, stored in the sidebar of the screen. There are no built-in sharing features yet.

Are there alternatives to ChatGPT?

Yes. There are multiple AI-powered chatbot competitors such as Together , Google’s Bard and Anthropic’s Claude , and developers are creating open source alternatives . But the latter are harder — if not impossible — to run today.

The Google-owned research lab DeepMind claimed that its next LLM, will rival, or even best, OpenAI’s ChatGPT . DeepMind is using techniques from AlphaGo, DeepMind’s AI system that was the first to defeat a professional human player at the board game Go, to make a ChatGPT-rivaling chatbot called Gemini.

Apple is developing AI tools to challenge OpenAI, Google and others. The tech giant created a chatbot that some engineers are internally referring to as “Apple GPT,” but Apple has yet to determine a strategy for releasing the AI to consumers.

How does ChatGPT handle data privacy?

OpenAI has said that individuals in “certain jurisdictions” (such as the EU) can object to the processing of their personal information by its AI models by filling out this form . This includes the ability to make requests for deletion of AI-generated references about you. Although OpenAI notes it may not grant every request since it must balance privacy requests against freedom of expression “in accordance with applicable laws”.

The web form for making a deletion of data about you request is entitled “ OpenAI Personal Data Removal Request ”.

In its privacy policy, the ChatGPT maker makes a passing acknowledgement of the objection requirements attached to relying on “legitimate interest” (LI), pointing users towards more information about requesting an opt out — when it writes: “See here for instructions on how you can opt out of our use of your information to train our models.”

What controversies have surrounded ChatGPT?

Recently, Discord announced that it had integrated OpenAI’s technology into its bot named Clyde where two users tricked Clyde into providing them with instructions for making the illegal drug methamphetamine (meth) and the incendiary mixture napalm.

An Australian mayor has publicly announced he may sue OpenAI for defamation due to ChatGPT’s false claims that he had served time in prison for bribery. This would be the first defamation lawsuit against the text-generating service.

CNET found itself in the midst of controversy after Futurism reported the publication was publishing articles under a mysterious byline completely generated by AI. The private equity company that owns CNET, Red Ventures, was accused of using ChatGPT for SEO farming, even if the information was incorrect.

Several major school systems and colleges, including New York City Public Schools , have banned ChatGPT from their networks and devices. They claim that the AI impedes the learning process by promoting plagiarism and misinformation, a claim that not every educator agrees with .

There have also been cases of ChatGPT accusing individuals of false crimes .

Where can I find examples of ChatGPT prompts?

Several marketplaces host and provide ChatGPT prompts, either for free or for a nominal fee. One is PromptBase . Another is ChatX . More launch every day.

Can ChatGPT be detected?

Poorly. Several tools claim to detect ChatGPT-generated text, but in our tests , they’re inconsistent at best.

Are ChatGPT chats public?

No. But OpenAI recently disclosed a bug, since fixed, that exposed the titles of some users’ conversations to other people on the service.

Who owns the copyright on ChatGPT-created content or media?

The user who requested the input from ChatGPT is the copyright owner.

What lawsuits are there surrounding ChatGPT?

None specifically targeting ChatGPT. But OpenAI is involved in at least one lawsuit that has implications for AI systems trained on publicly available data, which would touch on ChatGPT.

Are there issues regarding plagiarism with ChatGPT?

Yes. Text-generating AI models like ChatGPT have a tendency to regurgitate content from their training data.

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Artificial Intelligence Essay

Essay on Artificial Intelligence

Artificial Intelligence is the intelligence possessed by the machines under which they can perform various functions with human help. With the help of A.I, machines will be able to learn, solve problems, plan things, think, etc. Artificial Intelligence, for example, is the simulation of human intelligence by machines. In the field of technology, Artificial Intelligence is evolving rapidly day by day and it is believed that in the near future, artificial intelligence is going to change human life very drastically and will most probably end all the crises of the world by sorting out the major problems.

Our life in this modern age depends largely on computers. It is almost impossible to think about life without computers. We need computers in everything that we use in our daily lives. So it becomes very important to make computers intelligent so that our lives become easy. Artificial Intelligence is the theory and development of computers, which imitates the human intelligence and senses, such as visual perception, speech recognition, decision-making, and translation between languages. Artificial Intelligence has brought a revolution in the world of technology.

Artificial Intelligence Applications

AI is widely used in the field of healthcare. Companies are attempting to develop technologies that will allow for rapid diagnosis. Artificial Intelligence would be able to operate on patients without the need for human oversight. Surgical procedures based on technology are already being performed.

Artificial Intelligence would save a lot of our time. The use of robots would decrease human labour. For example, in industries robots are used which have saved a lot of human effort and time.

In the field of education, AI has the potential to be very effective. It can bring innovative ways of teaching students with the help of which students will be able to learn the concepts better.

Artificial intelligence is the future of innovative technology as we can use it in many fields. For example, it can be used in the Military sector, Industrial sector, Automobiles, etc. In the coming years, we will be able to see more applications of AI as this technology is evolving day by day.

Marketing: Artificial Intelligence provides a deep knowledge of consumers and potential clients to the marketers by enabling them to deliver information at the right time. Through AI solutions, the marketers can refine their campaigns and strategies.

Agriculture: AI technology can be used to detect diseases in plants, pests, and poor plant nutrition. With the help of AI, farmers can analyze the weather conditions, temperature, water usage, and condition of the soil.

Banking: Fraudulent activities can be detected through AI solutions. AI bots, digital payment advisers can create a high quality of service.

Health Care: Artificial Intelligence can surpass human cognition in the analysis, diagnosis, and complication of complicated medical data.

History of Artificial Intelligence

Artificial Intelligence may seem to be a new technology but if we do a bit of research, we will find that it has roots deep in the past. In Greek Mythology, it is said that the concepts of AI were used.

The model of Artificial neurons was first brought forward in 1943 by Warren McCulloch and Walter Pits. After seven years, in 1950, a research paper related to AI was published by Alan Turing which was titled 'Computer Machinery and Intelligence. The term Artificial Intelligence was first coined in 1956 by John McCarthy, who is known as the father of Artificial Intelligence.

To conclude, we can say that Artificial Intelligence will be the future of the world. As per the experts, we won't be able to separate ourselves from this technology as it would become an integral part of our lives shortly. AI would change the way we live in this world. This technology would prove to be revolutionary because it will change our lives for good.

Branches of Artificial Intelligence:

Knowledge Engineering

Machines Learning

Natural Language Processing

Types of Artificial Intelligence

Artificial Intelligence is categorized in two types based on capabilities and functionalities.

Artificial Intelligence Type-1

Artificial intelligence type-2.

Narrow AI (weak AI): This is designed to perform a specific task with intelligence. It is termed as weak AI because it cannot perform beyond its limitations. It is trained to do a specific task. Some examples of Narrow AI are facial recognition (Siri in Apple phones), speech, and image recognition. IBM’s Watson supercomputer, self-driving cars, playing chess, and solving equations are also some of the examples of weak AI.

General AI (AGI or strong AI): This system can perform nearly every cognitive task as efficiently as humans can do. The main characteristic of general AI is to make a system that can think like a human on its own. This is a long-term goal of many researchers to create such machines.

Super AI: Super AI is a type of intelligence of systems in which machines can surpass human intelligence and can perform any cognitive task better than humans. The main features of strong AI would be the ability to think, reason, solve puzzles, make judgments, plan and communicate on its own. The creation of strong AI might be the biggest revolution in human history.

Reactive Machines: These machines are the basic types of AI. Such AI systems focus only on current situations and react as per the best possible action. They do not store memories for future actions. IBM’s deep blue system and Google’s Alpha go are the examples of reactive machines.

Limited Memory: These machines can store data or past memories for a short period of time. Examples are self-driving cars. They can store information to navigate the road, speed, and distance of nearby cars.

Theory of Mind: These systems understand emotions, beliefs, and requirements like humans. These kinds of machines are still not invented and it’s a long-term goal for the researchers to create one.

Self-Awareness: Self-awareness AI is the future of artificial intelligence. These machines can outsmart the humans. If these machines are invented then it can bring a revolution in human society.

Artificial Intelligence will bring a huge revolution in the history of mankind. Human civilization will flourish by amplifying human intelligence with artificial intelligence, as long as we manage to keep the technology beneficial.

FAQs on Artificial Intelligence Essay

1. What is Artificial Intelligence?

Artificial Intelligence is a branch of computer science that emphasizes the development of intelligent machines that would think and work like humans.

2. How is Artificial Intelligence Categorised?

Artificial Intelligence is categorized in two types based on capabilities and functionalities. Based on capabilities, AI includes Narrow AI (weak AI), General AI, and super AI. Based on functionalities, AI includes Relative Machines, limited memory, theory of mind, self-awareness.

3. How Does AI Help in Marketing?

AI helps marketers to strategize their marketing campaigns and keep data of their prospective clients and consumers.

4. Give an Example of a Relative Machine?

IBM’s deep blue system and Google’s Alpha go are examples of reactive machines.

5. How can Artificial Intelligence help us?

Artificial Intelligence can help us in many ways. It is already helping us in some cases. For example, if we think about the robots used in a factory, they all run on the principle of Artificial Intelligence. In the automobile sector, some vehicles have been invented that don't need any humans to drive them, they are self-driving. The search engines these days are also AI-powered. There are many other uses of Artificial Intelligence as well.

Artificial intelligence vs machine learning: what’s the difference?

Suswati Basu is a multilingual, award-winning editor and the founder of the intersectional literature channel, How To Be Books. She was shortlisted for the Guardian…

Artificial intelligence vs machine learning what's the difference. Robot hand holds machine learning brain with laptop in the background

There are so many buzzwords in the tech world these days that keeping up with the latest trends can be challenging. Artificial intelligence (AI ) has been dominating the news, so much so that AI was named the most notable word of 2023 by Collins Dictionary. However, specific terms like ‘machine learning’ have often been used instead of AI .

Introduced by American computer scientist Arthur Samuel in 1959, the term ‘machine learning’ is described as a “computer’s ability to learn without being explicitly programmed.”

So, what is the difference between AI and machine learning?

For one, machine learning (ML) is a subset of artificial intelligence (AI). While they are often used interchangeably, especially when discussing big data, these popular technologies have several distinctions, including differences in their scope, applications, and beyond.

What is artificial intelligence?

Most people are now aware of this concept. Still, artificial intelligence actually refers to a collection of technologies integrated into a system, allowing it to think, learn, and solve complex problems. It has the capacity to copy cognitive abilities similar to human beings, enabling it to see, understand, and react to spoken or written language, analyze data, offer suggestions, and beyond.

What is machine learning?

Meanwhile, machine learning is just one area of AI that automatically enables a machine or system to learn and improve from experience. Rather than relying on explicit programming, it uses algorithms to sift through vast datasets, extract learning from the data, and then utilize this to make well-informed decisions. The learning part is that it improves over time through training and exposure to more data.

‘Machine learning models’ are the results or knowledge the program acquires by running an algorithm on training data. The more data used, the better the model’s performance.

How are machine learning and AI related?

Machine learning is an aspect of AI that enables machines to take knowledge from data and learn from it. In contrast, AI represents the overarching principle of allowing machines or systems to understand, reason, act, or adapt like humans.

Hence, think of AI as the entire ocean, encompassing various forms of marine life. Machine learning is like a specific species of fish in that ocean. Just as this species lives within the broader environment of the ocean, machine learning exists within the realm of AI, representing just one of many elements or aspects. However, it is still a significant and dynamic part of the entire ecosystem.

What are the differences between machine learning and AI?

Machine learning cannot impersonate human intelligence, which is not its aim. Instead, it focuses on building systems that can independently learn from and adapt to new data through identifying patterns. AI’s goal, on the other hand, is to create machines that can operate intelligently and independently, simulating human intelligence to perform a wide range of tasks, from simple to highly complex ones.

For example, when you receive emails, your email service uses machine learning algorithms to filter out spam. The ML system has been trained on vast datasets of emails, learning to distinguish between spam and non-spam by recognizing patterns in the text, sender information, and other attributes. Over time, it adapts to new types of spam and your personal preferences — like which emails you mark as spam or not — continually improving its accuracy.

In this scenario, your email provider may use AI to offer smart replies, sort emails into categories (like social, promotions, primary), and even prioritize essential emails. This AI system understands the context of your emails, categorizes them, and suggests short responses based on the content it analyzes. It mimics a high level of understanding and response generation that usually requires human intelligence.

What are the 4 types of machine learning?

There are three main types of machine learning and some specialized forms, including supervised, unsupervised, semi-supervised, and reinforcement learning.

Machine learning algorithms are classified into 4 types: 1. Supervised 2. Unsupervised 3. Semi-supervised 4. Reinforcement 1. Supervised learning, the algorithm learns from a labeled dataset where both input features and their corresponding target labels are provided. The… pic.twitter.com/2bwW3qFrkB — Danny.28 (@drifterddm) May 29, 2023

In supervised learning, the machine is taught by an operator. The user supplies the machine learning algorithm with a recognized dataset containing specific inputs paired with their correct outputs, and the algorithm has to figure out how to produce these outputs from the given inputs. Although the user is aware of the correct solutions, the algorithm needs to identify patterns, all while learning from them and making predictions. If the predictions have errors, the user has to correct them, and this cycle repeats until the algorithm reaches a substantial degree of accuracy or performance.

Semi-supervised learning falls between supervised and unsupervised learning. Labeled data consists of information tagged with meaningful labels, allowing the algorithm to understand the data, whereas unlabeled data does not contain these informative tags. Using this mix, machine learning algorithms can be trained to assign labels to unlabeled data.

Unsupervised learning involves training the algorithm on a dataset without explicit labels or correct answers. The goal is for the model to identify patterns and relationships in the data by itself. It tries to learn the underlying structure of the data to categorize it into clusters or spread it along dimensions.

Finally, reinforcement learning looks at structured learning approaches, in which a machine learning algorithm is given a set of actions, parameters, and goals. The algorithm then has to navigate through various scenarios by experimenting with different strategies, assessing each outcome to identify the most effective approach. It employs a trial-and-error approach, drawing on previous experiences to refine its strategy and adjust its actions according to the given situation, all to achieve the best possible result.

How AI and machine learning apply in the real world

In financial contexts, AI and machine learning serve as essential tools for tasks like identifying fraudulent activities, forecasting risks, and offering enhanced proactive financial guidance. Apparently, AI-driven platforms can now offer personalized educational content based on an individual’s financial behavior and needs. By delivering bite-sized, relevant information, these platforms ensure users are well-equipped to make informed financial decisions, leading to better credit scores over time. Nvidia AI posted on X that generative AI was being incorporated into curricula.

Learn how educators are integrating #GenerativeAI , Design & Sim into their curricula. Join professors from @UTAustin & @UW as they share insights on revolutionizing education with immersive learning on NVIDIA's Omniverse platform. 📍 Mar. 21 #GTC24 ➡️ https://t.co/6vcNiH6BuU pic.twitter.com/c04tf6J06a — NVIDIA AI (@NVIDIAAI) February 27, 2024

During the Covid-19 pandemic, machine learning also gave insights into the most urgent events. They are also powerful weapons for cybersecurity, helping organizations protect themselves and their customers by detecting anomalies. Mobile app developers have actively integrated numerous algorithms and explicit programming to make their apps fraud-free for financial institutions.

Featured image: Canva

About ReadWrite’s Editorial Process

The ReadWrite Editorial policy involves closely monitoring the tech industry for major developments, new product launches, AI breakthroughs, video game releases and other newsworthy events. Editors assign relevant stories to staff writers or freelance contributors with expertise in each particular topic area. Before publication, articles go through a rigorous round of editing for accuracy, clarity, and to ensure adherence to ReadWrite's style guidelines.

Suswati Basu Freelance journalist

Suswati Basu is a multilingual, award-winning editor and the founder of the intersectional literature channel, How To Be Books. She was shortlisted for the Guardian Mary Stott Prize and longlisted for the Guardian International Development Journalism Award. With 18 years of experience in the media industry, Suswati has held significant roles such as head of audience and deputy editor for NationalWorld news, digital editor for Channel 4 News and ITV News. She has also contributed to the Guardian and received training at the BBC As an audience, trends, and SEO specialist, she has participated in panel events alongside Google. Her…

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Artificial Intelligence Essay

500+ words essay on artificial intelligence.

Artificial intelligence (AI) has come into our daily lives through mobile devices and the Internet. Governments and businesses are increasingly making use of AI tools and techniques to solve business problems and improve many business processes, especially online ones. Such developments bring about new realities to social life that may not have been experienced before. This essay on Artificial Intelligence will help students to know the various advantages of using AI and how it has made our lives easier and simpler. Also, in the end, we have described the future scope of AI and the harmful effects of using it. To get a good command of essay writing, students must practise CBSE Essays on different topics.

Artificial Intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. It is concerned with getting computers to do tasks that would normally require human intelligence. AI systems are basically software systems (or controllers for robots) that use techniques such as machine learning and deep learning to solve problems in particular domains without hard coding all possibilities (i.e. algorithmic steps) in software. Due to this, AI started showing promising solutions for industry and businesses as well as our daily lives.

Importance and Advantages of Artificial Intelligence

Advances in computing and digital technologies have a direct influence on our lives, businesses and social life. This has influenced our daily routines, such as using mobile devices and active involvement on social media. AI systems are the most influential digital technologies. With AI systems, businesses are able to handle large data sets and provide speedy essential input to operations. Moreover, businesses are able to adapt to constant changes and are becoming more flexible.

By introducing Artificial Intelligence systems into devices, new business processes are opting for the automated process. A new paradigm emerges as a result of such intelligent automation, which now dictates not only how businesses operate but also who does the job. Many manufacturing sites can now operate fully automated with robots and without any human workers. Artificial Intelligence now brings unheard and unexpected innovations to the business world that many organizations will need to integrate to remain competitive and move further to lead the competitors.

Artificial Intelligence shapes our lives and social interactions through technological advancement. There are many AI applications which are specifically developed for providing better services to individuals, such as mobile phones, electronic gadgets, social media platforms etc. We are delegating our activities through intelligent applications, such as personal assistants, intelligent wearable devices and other applications. AI systems that operate household apparatus help us at home with cooking or cleaning.

Future Scope of Artificial Intelligence

In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is becoming a popular field in computer science as it has enhanced humans. Application areas of artificial intelligence are having a huge impact on various fields of life to solve complex problems in various areas such as education, engineering, business, medicine, weather forecasting etc. Many labourers’ work can be done by a single machine. But Artificial Intelligence has another aspect: it can be dangerous for us. If we become completely dependent on machines, then it can ruin our life. We will not be able to do any work by ourselves and get lazy. Another disadvantage is that it cannot give a human-like feeling. So machines should be used only where they are actually required.

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Artificial Intelligence and Its Impact on Education Essay

Introduction, ai’s impact on education, the impact of ai on teachers, the impact of ai on students, reference list.

Rooted in computer science, Artificial Intelligence (AI) is defined by the development of digital systems that can perform tasks, which are dependent on human intelligence (Rexford, 2018). Interest in the adoption of AI in the education sector started in the 1980s when researchers were exploring the possibilities of adopting robotic technologies in learning (Mikropoulos, 2018). Their mission was to help learners to study conveniently and efficiently. Today, some of the events and impact of AI on the education sector are concentrated in the fields of online learning, task automation, and personalization learning (Chen, Chen and Lin, 2020). The COVID-19 pandemic is a recent news event that has drawn attention to AI and its role in facilitating online learning among other virtual educational programs. This paper seeks to find out the possible impact of artificial intelligence on the education sector from the perspectives of teachers and learners.

Technology has transformed the education sector in unique ways and AI is no exception. As highlighted above, AI is a relatively new area of technological development, which has attracted global interest in academic and teaching circles. Increased awareness of the benefits of AI in the education sector and the integration of high-performance computing systems in administrative work have accelerated the pace of transformation in the field (Fengchun et al. , 2021). This change has affected different facets of learning to the extent that government agencies and companies are looking to replicate the same success in their respective fields (IBM, 2020). However, while the advantages of AI are widely reported in the corporate scene, few people understand its impact on the interactions between students and teachers. This research gap can be filled by understanding the impact of AI on the education sector, as a holistic ecosystem of learning.

As these gaps in education are minimized, AI is contributing to the growth of the education sector. Particularly, it has increased the number of online learning platforms using big data intelligence systems (Chen, Chen and Lin, 2020). This outcome has been achieved by exploiting opportunities in big data analysis to enhance educational outcomes (IBM, 2020). Overall, the positive contributions that AI has had to the education sector mean that it has expanded opportunities for growth and development in the education sector (Rexford, 2018). Therefore, teachers are likely to benefit from increased opportunities for learning and growth that would emerge from the adoption of AI in the education system.

The impact of AI on teachers can be estimated by examining its effects on the learning environment. Some of the positive outcomes that teachers have associated with AI adoption include increased work efficiency, expanded opportunities for career growth, and an improved rate of innovation adoption (Chen, Chen and Lin, 2020). These benefits are achievable because AI makes it possible to automate learning activities. This process gives teachers the freedom to complete supplementary tasks that support their core activities. At the same time, the freedom they enjoy may be used to enhance creativity and innovation in their teaching practice. Despite the positive outcomes of AI adoption in learning, it undermines the relevance of teachers as educators (Fengchun et al., 2021). This concern is shared among educators because the increased reliance on robotics and automation through AI adoption has created conditions for learning to occur without human input. Therefore, there is a risk that teacher participation may be replaced by machine input.

Performance Evaluation emerges as a critical area where teachers can benefit from AI adoption. This outcome is feasible because AI empowers teachers to monitor the behaviors of their learners and the differences in their scores over a specific time (Mikropoulos, 2018). This comparative analysis is achievable using advanced data management techniques in AI-backed performance appraisal systems (Fengchun et al., 2021). Researchers have used these systems to enhance adaptive group formation programs where groups of students are formed based on a balance of the strengths and weaknesses of the members (Live Tiles, 2021). The information collected using AI-backed data analysis techniques can be recalibrated to capture different types of data. For example, teachers have used AI to understand students’ learning patterns and the correlation between these configurations with the individual understanding of learning concepts (Rexford, 2018). Furthermore, advanced biometric techniques in AI have made it possible for teachers to assess their student’s learning attentiveness.

Overall, the contributions of AI to the teaching practice empower teachers to redesign their learning programs to fill the gaps identified in the performance assessments. Employing the capabilities of AI in their teaching programs has also made it possible to personalize their curriculums to empower students to learn more effectively (Live Tiles, 2021). Nonetheless, the benefits of AI to teachers could be undermined by the possibility of job losses due to the replacement of human labor with machines and robots (Gulson et al. , 2018). These fears are yet to materialize but indications suggest that AI adoption may elevate the importance of machines above those of human beings in learning.

The benefits of AI to teachers can be replicated in student learning because learners are recipients of the teaching strategies adopted by teachers. In this regard, AI has created unique benefits for different groups of learners based on the supportive role it plays in the education sector (Fengchun et al., 2021). For example, it has created conditions necessary for the use of virtual reality in learning. This development has created an opportunity for students to learn at their pace (Live Tiles, 2021). Allowing students to learn at their pace has enhanced their learning experiences because of varied learning speeds. The creation of virtual reality using AI learning has played a significant role in promoting equality in learning by adapting to different learning needs (Live Tiles, 2021). For example, it has helped students to better track their performances at home and identify areas of improvement in the process. In this regard, the adoption of AI in learning has allowed for the customization of learning styles to improve students’ attention and involvement in learning.

AI also benefits students by personalizing education activities to suit different learning styles and competencies. In this analysis, AI holds the promise to develop personalized learning at scale by customizing tools and features of learning in contemporary education systems (du Boulay, 2016). Personalized learning offers several benefits to students, including a reduction in learning time, increased levels of engagement with teachers, improved knowledge retention, and increased motivation to study (Fengchun et al., 2021). The presence of these benefits means that AI enriches students’ learning experiences. Furthermore, AI shares the promise of expanding educational opportunities for people who would have otherwise been unable to access learning opportunities. For example, disabled people are unable to access the same quality of education as ordinary students do. Today, technology has made it possible for these underserved learners to access education services.

Based on the findings highlighted above, AI has made it possible to customize education services to suit the needs of unique groups of learners. By extension, AI has made it possible for teachers to select the most appropriate teaching methods to use for these student groups (du Boulay, 2016). Teachers have reported positive outcomes of using AI to meet the needs of these underserved learners (Fengchun et al., 2021). For example, through online learning, some of them have learned to be more patient and tolerant when interacting with disabled students (Fengchun et al., 2021). AI has also made it possible to integrate the educational and curriculum development plans of disabled and mainstream students, thereby standardizing the education outcomes across the divide. Broadly, these statements indicate that the expansion of opportunities via AI adoption has increased access to education services for underserved groups of learners.

Overall, AI holds the promise to solve most educational challenges that affect the world today. UNESCO (2021) affirms this statement by saying that AI can address most problems in learning through innovation. Therefore, there is hope that the adoption of new technology would accelerate the process of streamlining the education sector. This outcome could be achieved by improving the design of AI learning programs to make them more effective in meeting student and teachers’ needs. This contribution to learning will help to maximize the positive impact and minimize the negative effects of AI on both parties.

The findings of this study demonstrate that the application of AI in education has a largely positive impact on students and teachers. The positive effects are summarized as follows: improved access to education for underserved populations improved teaching practices/instructional learning, and enhanced enthusiasm for students to stay in school. Despite the existence of these positive views, negative outcomes have also been highlighted in this paper. They include the potential for job losses, an increase in education inequalities, and the high cost of installing AI systems. These concerns are relevant to the adoption of AI in the education sector but the benefits of integration outweigh them. Therefore, there should be more support given to educational institutions that intend to adopt AI. Overall, this study demonstrates that AI is beneficial to the education sector. It will improve the quality of teaching, help students to understand knowledge quickly, and spread knowledge via the expansion of educational opportunities.

Chen, L., Chen, P. and Lin, Z. (2020) ‘Artificial intelligence in education: a review’, Institute of Electrical and Electronics Engineers Access , 8(1), pp. 75264-75278.

du Boulay, B. (2016) Artificial intelligence as an effective classroom assistant. Institute of Electrical and Electronics Engineers Intelligent Systems , 31(6), pp.76–81.

Fengchun, M. et al. (2021) AI and education: a guide for policymakers . Paris: UNESCO Publishing.

Gulson, K . et al. (2018) Education, work and Australian society in an AI world . Web.

IBM. (2020) Artificial intelligence . Web.

Live Tiles. (2021) 15 pros and 6 cons of artificial intelligence in the classroom . Web.

Mikropoulos, T. A. (2018) Research on e-Learning and ICT in education: technological, pedagogical and instructional perspectives . New York, NY: Springer.

Rexford, J. (2018) The role of education in AI (and vice versa). Web.

Seo, K. et al. (2021) The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education , 18(54), pp. 1-12.

UNESCO. (2021) Artificial intelligence in education . Web.

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'Games made by soulless machines': Tech sparks debate over AI stories in video games

Vincent Acovino

Christopher Intagliata

A screenshot from Nvidia and Convai's recent demonstration video of AI in video games. Screenshot by NPR hide caption

A screenshot from Nvidia and Convai's recent demonstration video of AI in video games.

Is the future of artificial intelligence in video games playing out in a cyberpunk ramen bar? Tech companies would like you to think so, but game writers aren't so sure.

In a recent demo from the tech company Nvidia, a human player talked to two video game characters using a microphone — and the characters responded in real time using generative AI.

Nvidia is promising a new kind of storytelling made possible by Generative AI technology.

In a press release, Nvidia said the technology offered the chance to turn "generic non-playable characters (NPCs)" into "dynamic, interactive characters capable of striking up a conversation, or providing game knowledge to aid players in their quests."

Nvidia had partnered with the tech start-up Convai for the demo, but they aren't the only ones pushing the new technology. At this year's Game Developers Conference in San Francisco on March 18-22, new video games powered by generative AI technology are expected to be announced.

A growing number of gamers are LGBTQ+, so why is representation still lacking?

And the companies at the forefront of AI are not just promising to do the work that human writers are already doing; they are promising to completely change the way video game stories are told.

It's a claim that, across the industry, is being met with skepticism and hesitation.

Pushing the boundaries

In truth, the change is already happening.

The tech is already being used widely in game development. In a survey of more than 3,000 developers conducted by the Game Developers Conference, nearly a third say they already use AI in their workplace. Employees in business and marketing were most likely to use it, while those in narrative were among the least likely.

But it's in storytelling that the promise and perils are being most closely watched.

Games often have hundreds of characters who, together, help build a bigger story and more immersive experience. Until now, their dialogue has always been written by humans.

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Yet Kylan Gibbs, who develops AI at his company Inworld AI, says the generative technology can create a new relationship between author and creator.

"It means that every person ends up with something that — while still beheld to the story and narrative allure of the world — they're able to look at from different angles," he said.

Not everyone is so sure. Or, at least, not so willing to begin using AI in their own games.

Josh Sawyer is the studio design director at Obsidian Entertainment, which made narratively acclaimed games like Pentiment , and Fallout: New Vegas, and he isn't sold by the recent run of AI.

"A lot of the demos, I'm not going to lie, they seem impressive for a chat bot ," he said, adding it was not something he would use in his games.

Fallout: New Vegas is a science-fiction role playing game beloved for its story and characters.

In a game like Fallout: New Vegas , which follows the remaining denizens of Earth living in the wake of a nuclear apocalypse, it's the smaller interactions with the world's many characters — and their carefully crafted responses — that make for a good story.

"The appeal for our players is the characters feel very specific," Sawyer said. "I'm not looking to make a lot of generic dialogue."

Xalavier Nelson Jr., who leads the independent studio Strange Scaffold, has similar concerns. He says everything in a game needs to be filtered through a layer of intent.

"When I hear about building NPCs that make for better or equivalent game experiences while being driven by AI responses, the first thing I have to ask is ... how much does that create a cohesive experience for the player?"

"Even if an NPC interacts in a million different ways ... if it doesn't add up to a wider message, you end up with what we call in games 'oatmeal' — a sludge which functionally means or performs nothing outside of a sheer amount of stuff that's put into the world."

A question of ethics

Joon Sung Park, an AI researcher at Stanford, doesn't think generative AI will take the place of human writers who come up with high-concept, compelling storylines.

Instead, he sees AI making a game's many small characters more complex, more dynamic, and more spontaneous.

'Final Fantasy 7 Rebirth' review: Savor the story, skim the open world

"Where these agents are good at is creating believable micro-moments," he said. "But they're likely not going to be able to create individual, really fun stories."

Still, today it's human writers who craft a lot of the one-liners and small talk that side characters say in a video game. If AI does that instead, it might put some writers out of work, according to Nelson Jr.

"When we eliminate positions for juniors, that means they don't become mid level. Which means they don't become seniors. Which means they don't become the vibrant creative voices and directors of tomorrow," he said.

Gaming Culture

Hit your 2024 exercise goals with these vr fitness apps and games.

Despite the fact that generative AI is already being used across the industry, 87% of game developers surveyed by the Game Developers Conference say they are at least somewhat concerned with how this tech will impact the game industry.

That's why for many it's not a question of whether AI can write a good story — it's whether it should .

"Ten years from now, the AI might become so good at what it does that it's indistinguishable from the best human writers," says Eric Barone, who wrote and designed the hit game Stardew Valley entirely by himself.

"I feel like we have to turn to a spiritual element here. I want to play games by human beings, not games made by soulless machines."

It's an ethical question writers are confronting now. But players will face it soon, and they'll have to decide whether games written by artificial intelligence are the game they want to play.

artificial intelligence
video games

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AI Research Essay about Artificial Intelligence

1.ABSTRACT | RESEARCH PROBLEM | POTENTIAL BENEFITS & APPARENT RISKS The moment has long since passed to recognize that software-written texts can be logically-made acceptable in academia. Questions | Prompts: 1.How can the trajectory toward which AI is heading be approximated, or prognosticated? 2.In a proactive sense, what should be done to take advantage of this reality? 3.Precedents for AI in cultures and societies in earlier eras up until the recent (late 20th century). These precedents are both western and non-western and encompass an extremely wide range of genres, effects and aspects, including human and non-human examples, natural and synthetic. Characterizing the present situation will require us to visualize the state of affairs realistically. We cannot afford to fight today’s war championing yesterday’s strategies, tactics and materiel. Our mission, albeit noble, is rather gelatinous and amorphous, a supercooled liquid, like a vitreous substance. Artificial intelligence accelerates at a lightning pace, far faster than Moore’s Law regarding the processing speed of computer hardware. I believe that we cannot react passively to the challenges which AI poses to society and academia, in the macro sense, in the scope of this paper. How can we act proactively? However well we do, this will set the stage for our futures. By identifying hallmarks, rendering what appears to be a dilemma and a conundrum into a relatively manageable domain will be achievable.

Related Papers

World Scientific

Suman Gupta

This book engages with the title question: what is artificial intelligence (AI)? Instead of reiterating received definitions or surveying the field from a disciplinary perspective, the question is engaged here by putting two standpoints into conversation. The standpoints are different in their disciplinary groundings — i.e. technology and the humanities — and also in their approaches — i.e. applied and conceptual. Peter is an AI engineer: his approach is in terms of how to make AI work. Suman is a humanities researcher: his approach is in terms of what people and academics mean when they say 'AI'. A coherent argument, if not a consensus, develops by putting the two standpoints into conversation. The conversation is presented in 32 short chapters, in turn by Suman and Peter. There are two parts: Part 1, Questioning AI, and Part 2, AI and Government Policy. The first part covers issues such as the meaning of intelligence, automation, evolution, artificial and language. It outlines some of the processes through which these concepts may be technologically grounded as AI. The second part addresses policy considerations that underpin the development of AI and responds to the consequences. Themes taken up here include: rights and responsibilities; data usage and state-level strategies in the USA, UK and China; unemployment and policy futures. ISBN: 978-1-78634-863-0

Bulletin of the Atomic Scientists

John Mecklin

Bongs Lainjo

The article "The Dynamics of Artificial Intelligence: Will it Make or Mar?" delves into the multifaceted themes of Artificial Intelligence (AI) and its profound impact on our future. This exploration is guided by a central research question: how will the thematic dynamics of AI shape our future? The paper begins with a historical overview of AI, tracking its evolution from theoretical beginnings to today's advanced applications in diverse fields. It highlights the transformative role of AI in various sectors, including healthcare, finance, manufacturing, and education, emphasizing how AI fosters efficiency and innovation. Significant attention is devoted to the socioeconomic benefits of AI, such as improved efficiency, healthcare advancements, and educational accessibility. However, it also addresses the darker aspects, including job displacement, ethical concerns, and the risks of AI in warfare and security. The dual nature of AI-its potential to enhance and disrupt-forms the core of the discussion. The paper dissects key AI themes like autonomy and intelligence augmentation, examining their influence on societal norms. This scrutiny unfolds the complex relationship between technological advancement and human existence, exploring both the positive and negative aspects, from socioeconomic benefits to ethical concerns. The aim is to unravel the intricate tapestry of AI's role in shaping our future trajectory. This comprehensive inquiry provides nuanced insights into AI's potential to revolutionize our world while acknowledging its ethical and social challenges. It advocates for a balanced approach to AI development, considering its complex interplay with societal norms and ethical standards, and highlights the need for global cooperation in AI governance. The future of AI, as discussed in this paper, is a confluence of remarkable possibilities and significant responsibilities, requiring collective efforts to harness its full potential responsibly.

Land Forces Academy Review

Liviu Cosereanu

Every other aspect of intelligence and every structure of the learning process can be described very precisely in a way that teaches a machine how to simulate it, at which point Artificial Intelligence (AI) was established as a new field of study and research and generated expectations extraordinary. AI is the ability of a machine to imitate human functions such as reasoning, learning, planning and creativity. AI systems are able to adapt their behavior to some extent by analyzing the effects of previous actions and operating autonomously. Some AI technologies have been around for over 50 years, but increased computing power, the availability of enormous amounts of data, and new algorithms have led to major advances in AI in recent years. Artificial intelligence is considered a central element of the digital transformation of society and has become a priority for the EU. Future applications are expected to bring enormous changes, but AI is already present in our daily lives. Like an...

Ramón Reichert , Mathias Fuchs

The meaning of AI has undergone drastic changes during the last 60 years of AI discourse(s). What we talk about when saying “AI” is not what it meant in 1958, when John McCarthy, Marvin Minsky and their colleagues started using the term. Take game design as an example: When the Unreal game engine introduced "AI" in 1999, they were mainly talking about pathfinding. For Epic Megagames, the producers of Unreal, an AI was just a bot or monster whose pathfinding capabilities had been programmed in a few lines of code to escape an enemy. This is not "intelligence" in the Minskyan understanding of the word (and even less what Alan Turing had in mind when he designed the Turing test). There are also attempts to differentiate between AI, classical AI and "Computational Intelligence" (Al-Jobouri 2017). The latter is labelled CI and is used to describe processes such as player affective modelling, co-evolution, automatically generated procedural environments, etc. Artificial intelligence research has been commonly conceptualised as an attempt to reduce the complexity of human thinking. (cf. Varela 1988: 359-75) The idea was to map the human brain onto a machine for symbol manipulation – the computer. (Minsky 1952; Simon 1996; Hayles 1999) Already in the early days of what we now call “AI research” McCulloch and Pitts commented on human intelligence and proposed in 1943 that the networking of neurons could be used for pattern recognition purposes (McCulloch/Pitts 1943). Trying to implement cerebral processes on digital computers was the method of choice for the pioneers of artificial intelligence research. The “New AI” is no longer concerned with the needs to observe the congruencies or limitations of being compatible with the biological nature of human intelligence: “Old AI crucially depended on the functionalist assumption that intelligent systems, brains or computers, carry out some Turing-equivalent serial symbol processing, and that the symbols processed are a representation of the field of action of that system.” (Pickering 1993, 126) The ecological approach of the New AI has its greatest impact by showing how it is possible “to learn to recognize objects and events without having any formal representation of them stored within the system.” (ibid, 127) The New Artificial Intelligence movement has abandoned the cognitivist perspective and now instead relies on the premise that intelligent behaviour should be analysed using synthetically produced equipment and control architectures (cf. Munakata 2008). Kate Crawford (Microsoft Research) has recently warned against the impact that current AI research might have, in a noteworthy lecture titled: AI and the Rise of Fascism. Crawford analysed the risks and potential of AI research and asked for a critical approach in regard to new forms of data-driven governmentality: “Just as we are reaching a crucial inflection point in the deployment of AI into everyday life, we are seeing the rise of white nationalism and right-wing authoritarianism in Europe, the US and beyond. How do we protect our communities – and particularly already vulnerable and marginalized groups – from the potential uses of these systems for surveillance, harassment, detainment or deportation?” (Crawford 2017) Following Crawford’s critical assessment, this issue of the Digital Culture & Society journal deals with the impact of AI in knowledge areas such as computational technology, social sciences, philosophy, game studies and the humanities in general. Subdisciplines of traditional computer sciences, in particular Artificial Intelligence, Neuroinformatics, Evolutionary Computation, Robotics and Computer Vision once more gain attention. Biological information processing is firmly embedded in commercial applications like the intelligent personal Google Assistant, Facebook’s facial recognition algorithm, Deep Face, Amazon’s device Alexa or Apple’s software feature Siri (a speech interpretation and recognition interface) to mention just a few. In 2016 Google, Facebook, Amazon, IBM and Microsoft founded what they call a Partnership on AI. (Hern 2016) This indicates a move from academic research institutions to company research clusters. We are in this context interested in receiving contributions on the aspects of the history of institutional and private research in AI. We would like to invite articles that observe the history of the notion of “artificial intelligence” and articles that point out how specific academic and commercial fields (e.g. game design, aviation industry, transport industry etc.) interpret and use the notion of AI. Against this background, the special issue Rethinking AI will explore and reflect the hype of neuroinformatics in AI discourses and the potential and limits of critique in the age of computational intelligence. (Johnston 2008; Hayles 2014, 199-210) We are inviting contributions that deal with the history, theory and the aesthetics of contemporary neuroscience and the recent trends of artificial intelligence. (cf. Halpern 2014, 62ff) Digital societies increasingly depend on smart learning environments that are technologically inscribed. We ask for the role and value of open processes in learning environments and we welcome contributions that acknowledge the regime of production as promoted by recent developments in AI. We particularly welcome contributions that are historical and comparative or critically reflective about the biological impact on social processes, individual behaviour and technical infrastructure in a post-digital and post-human environment? What are the social, cultural and ethical issues, when artificial neuronal networks take hold in digital cultures? What is the impact on digital culture and society, when multi-agent systems are equipped with license to act?

Current Journal of Applied Science and Technology

Professor Terry Hyland

The recent appearance of widely available Artificial Intelligence (AI) applications such as ChatGPT and Bard has fuelled a flurry of popular and academic discussions about the implications of such AI tools for all aspects of contemporary life and culture. After examining some aspects of recent developments, this article goes on to review some salient critiques of the emerging AI debate with the intention of analyzing some of the key themes in the current discourse. The key objective will be to deflate some of the more overblown and alarming perspectives informed by anthropomorphising AI developments. In particular, there is an attempt to steer a middle course between doom-laden pessimism and futuristic optimism. Drawing on a range of philosophical positions, it is concluded that AI applications are best conceptualised as powerful tools which need to be utilised pragmatically and regulated ethically in partnership with humans in the best interests of all of us.

eric A , Brian Holbert

Jose Bedoya

Artificial Intelligence, Human Agency and the Educational Leader

Rosemary Papa

AI for Everyone? Critical Perspectives

Andreas Kaplan

This chapter looks at artificial intelligence, its history, and its evolutionary stages. Furthermore, what challenges might arise in the future when humans will have to learn to live among machines and robots are discussed. This will be undertaken by analyzing challenges concerning algorithms and organisations, challenges with respect to (un)employment, and looking at democracy and freedom potentially jeopardised due to the progress of AI.

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