artificial intelligence & crime prediction a systematic literature review

Consequently, the application of artificial intelligence (AI) in crime prediction is a significant and well-researched area. This study investigates AI strategies in crime prediction. We conduct a systematic literature review (SLR). Our review evaluates the models from numerous points of view, including the crime analysis type, crimes studied ...

We conduct a Systematic Literature Review (SLR). Our review evaluates the models from numerous points of view; the crime analysis type, the crimes studied types, the prediction technique, the performance metrics and evaluations, the strength and weakness of the proposed method, and the limitation and future direction.

This study investigates AI strategies in crime prediction. We conduct a systematic literature review (SLR). Our review evaluates the models from numerous points of view, including the crime ...

DOI: 10.2139/ssrn.4039691 Corpus ID: 247098701; Artificial Intelligence & Crime Prediction: A Systematic Literature Review @article{Dakalbab2022ArtificialI, title={Artificial Intelligence \& Crime Prediction: A Systematic Literature Review}, author={Fatima Mohamad Dakalbab and Manar Abu Talib and Omnia Elmutasim and Ali Bou Nassif and Sohail Abbas and Qassim Nasir}, journal={SSRN Electronic ...

The security of a community is its topmost priority; hence, governments must take proper actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in crime prediction is a significant and well-researched area.

Using a Systematic Literature Review (SLR) methodology, we aim to collect and synthesize the required knowledge regarding machine learning-based crime prediction and help both law enforcement authorities and scientists to mitigate and prevent future crime occurrences. We focus primarily on 68 selected machine learning papers that predict crime.

Keywords: machine learning, recidivism, crime prediction, artificial intelligence, explainable artificial intelligence. 1. Introduction ... However, literature analysed in this systematic review pinpointed some limitations. First of all, the performance of each model does not depend only on the ML model or the dataset. The method of data ...

Using a Systematic Literature Review (SLR) methodology, we aim to collect and synthesize the required knowledge regarding machine learning-based crime prediction and help both law enforcement authorities and scientists to mitigate and prevent future crime occurrences. We focus primarily on 68 selected machine learning papers that predict crime.

Predicting crime using machine learning and deep learning techniques has gained considerable attention from researchers in recent years, focusing on identifying patterns and trends in crime occurrences. This review paper examines over 150 articles to explore the various machine learning and deep learning algorithms applied to predict crime. The study provides access to the datasets used for ...

Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions Varun Mandalapu1* y, Lavanya Elluri2, Piyush Vyas2y and Nirmalya Roy1 ... Machine learning is a subset of arti cial intelligence that uses statistical models and algorithms to analyze and make predictions based on data. On the

Artificial Intelligence (AI) can be very beneficial in the criminal justice system for predicting the risk of recidivism. AI provides unrivalled high computing power, speed, and accuracy; all harnessed to strengthen the efficiency in predicting convicted individuals who may be on the verge of recommitting a crime. The application of AI models for predicting recidivism has brought positive ...

Artificial intelligence & crime prediction: A systematic literature review. Fatima Dakalbab, Manar Abu Talib, Omnia Abu Waraga, Ali Bou Nassif, Sohail Abbas and Qassim Nasir. Journal: Social Sciences & Humanities Open, 2022, Volume 6, Number 1, Page 100342. DOI: 10.1016/j.ssaho.2022.100342. Read Online

Using a Systematic Literature Review (SLR) methodology, we aim to collect and synthesize the required knowledge regarding machine learning-based crime prediction and help both law enforcement ...

Artificial Intelligence & Crime Prediction: A Systematic Literature Review. F Dakalbab, MA Talib, OA Waraga, AB Nassif, S Abbas, Q Nasir ... Artificial intelligence techniques in financial trading: A systematic literature review. F Dakalbab, M Abu Talib, Q Nasir, T Saroufil. Journal of King Saud University - Computer and Information Sciences 36 ...

Smart policing refers to the use of advanced technologies such as artificial intelligence to enhance policing activities in terms of crime prevention or crime reduction. Artificial intelligence tools, including machine learning and natural language processing, have widespread applications across various fields, such as healthcare, business, and law enforcement. By means of these technologies ...

Abstract. The duty of ensuring people's safety and preserving peace is of the utmost importance, and crime is the biggest barrier. An excellent technology that can significantly contribute to reducing and eradicating crime is artificial intelligence and machine learning. This study offers a review of the past five years' worth of research on ...

Increasing internal state security requires an understanding of the factors that influence the commission of repetitive crimes (recidivism) since the crime is not caused by public danger but by the criminal person. Against the background of informatization of the information activities of law enforcement agencies, there is no doubt about the expediency of using artificial intelligence ...

Applying the rules and guidelines of systematic reviews is crucial for researchers who undertake this approach (Kitchenham and Charters, 2007).Commencing the review process using a protocol to identify, select, and assess the relevant literature will make the systematic review highly efficient (Tranfield et al., 2003).The systematic process should be reproducible, objective, transparent ...

The systematic review present in this study focuses on crime prediction and data mining as well as the techniques employed in the past studies. The existing work is classified and grouped into different categories and are presented by using visualization approach. It is found that more studies adopted supervised learning approaches to crime ...

The term Artificial Intelligence is like a big umbrella that covers a wide variety of different applications [].We can categorize Ai into three different levels: Weak, medium, and strong [7,8,9,10,11,12,13].The main goal of using AI in crime detection is to find a pattern based on the data provided and predict the time and place of future crimes and potential criminals by analyzing the large ...

Systematic reviews provide a structured overview of the available evidence in medical-scientific research. However, due to the increasing medical-scientific research output, it is a time-consuming task to conduct systematic reviews. To accelerate this process, artificial intelligence (AI) can be used in the review process.

This is the first systematic review to explore the relationship between artificial intelligence and workplace outcomes. Through an exhaustive systematic review and analysis of existing literature, we ultimately examine and cross-relate 60 papers, published in 30 leading international (AJG 3 and 4) journals over a period of 25 years (1995-2020).