Artificial Intelligence and Crime Detection: A Critical Review

Background: Since the advent of modern policing, technological innovations in communication and information management have significantly shaped investigative practices and crime detection strategies.Aims: The current research study explores the transformative role of Artificial Intelligence in modern crime detection and prevention across diverse domains including cybercrime, environmental crime, financial fraud, and urban surveillance.Methodology: Employing a qualitative meta-synthesis methodology, the research critically examines peer-reviewed literature published between the years ۲۰۱۵ and ۲۰۲۵ to identify emerging trends, technological innovations, and socio-legal implications associated with AI-driven policing.Findings: The key findings highlight the integration of machine learning, computer vision, and natural language processing techniques into the predictive and real-time law enforcement systems. These technologies have demonstrably enhanced the accuracy, efficiency, and responsiveness of crime prevention strategies. However, the current study also reveals significant challenges, including algorithmic bias, lack of transparency, and inadequate regulatory oversight, particularly in socially stratified or underregulated contexts.Conclusion: The current article underscores the necessity of embedding explainability, accountability, and human oversight into Artificial Intelligence systems to ensure the ethical and equitable implementation of AI-driven policing systems.

کلیدواژه ها:

Artificial Intelligence ، Crime Prevention ، predictive policing ، algorithmic accountability ، surveillance ethics