AI-Powered Local Crime Prediction

Due to the increasing crime rate all over the world, the new methods are required for the prediction as well as prevention. Introduction of Artificial Intelligence (AI) Crime Detection tool is a strong way to find patterns of prediction of malfeasance by ML model and real-time analytics. Hence, this paper dissect the existing AI-induced structures, which aid in the detection/prediction of crimes along with their architecture, methodology, difficulties, and future direction. Demographic, temporal, and spatial data are obtained, and thus help to improve predictive performance. It also deals with ethical issues like bias reduction, transparency, and data privacy.info The research ends with a list of recommendations suggesting crucial areas for this kind of interdisciplinary cooperation, which is needed to improve the reliability and fairness of computer systems that are deployed in the prevention of crime.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.38124/ijisrt/25apr1315
Citations
1
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
4.20
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AI-Powered Local Crime Prediction

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AI-Powered Local Crime Prediction

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article en
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Abstract

Due to the increasing crime rate all over the world, the new methods are required for the prediction as well as prevention. Introduction of Artificial Intelligence (AI) Crime Detection tool is a strong way to find patterns of prediction of malfeasance by ML model and real-time analytics. Hence, this paper dissect the existing AI-induced structures, which aid in the detection/prediction of crimes along with their architecture, methodology, difficulties, and future direction. Demographic, temporal, and spatial data are obtained, and thus help to improve predictive performance. It also deals with ethical issues like bias reduction, transparency, and data privacy.info The research ends with a list of recommendations suggesting crucial areas for this kind of interdisciplinary cooperation, which is needed to improve the reliability and fairness of computer systems that are deployed in the prevention of crime.

Openalex Percentile: Top 8%
Crime Patterns and Interventions
4.20
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