Publication Date: 2023/06/19
Abstract: The goal of this article is to provide a reference manual for those who are interested in writing on predictive policing, which will include evaluations of the most promising technical tools for producing predictions as well as the most promising tactical strategies to act on such predictions. More generally, this research aims to place predictive policing in relation to other contemporary, proactive policing measures: Although predictive policing is merely a tool, it can be a very helpful one. It is not a magic oracle. The second section will go through how predictive policing is conceptualized, as well as its potential and actual advantages and disadvantages. Review clarifies how predictive policing is conceptualized, as well as its potential, actual benefits, and disadvantages. Predictive policing, also known as crime forecasting, is a set of high technologies aiding the police in solving past crimes and pre-emptively fighting and preventing future ones. With the right deployment of such technologies, law enforcement agencies can combat and control crime more efficiently with time and resources better employed and allocated. The current practices of predictive policing include the integration of various technologies, ranging from predictive crime maps and surveillance cameras to sophisticated computer software and artificial intelligence. Predictive analytics help the police make predictions about where and when future crime is most likely to happen and who will be the perpetrator and who the potential victim. The underpinning logic behind such predictions is the predictability of criminal behaviour and crime patterns based on criminological research and theories such as rational choice and deterrence theories, routine activities theory, and broken windows theory.
Keywords: Predictive policing,Forecasting, Crime mapping, Prediction, Pre-processing data,Algorithms,Policing technology, Social control, Machine learning.
DOI: https://doi.org/10.5281/zenodo.8055030
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23MAY2191.pdf
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