Abstract

In any country, preventing and detecting crimes are essential to maintaining public safety. Historically, strategies for crime prevention and detection were reactive and resource-intensive since they depended heavily on human intuition and sparse data. But new developments in artificial intelligence (AI) provide a paradigm change by making proactive, data-driven strategies possible. Technological innovation has been one of the key driving forces contributing to the ongoing enhancement of crime control and crime prevention measures (e.g. GPS tracking and tagging, video surveillance, etc.). The use of AI in police poses important concerns about striking a balance between defending civil liberties and improving public safety. Mass surveillance, invasions of privacy, and possible discrimination are among the worries. The employment of AI can affect community faith in law enforcement. Some may perceive it as a tool for better safety, but others would regard it as a way to overpolice communities that are already marginalized or as an invasion of privacy. The application of AI in law enforcement has important ethical ramifications, especially when it comes to algorithmic bias, accountability, and the openness of decision-making procedures. This article discusses how the protection of people's fundamental rights through due process is impacted by novel methods for establishing reasonable suspicion. The rules governing data protection, the preservation of other legal and ethical standards, and the establishment of suitable safeguards are required when law enforcement agencies employ AI-based systems more frequently. Personal data is being used by both public and private sector organizations to better understand and anticipate the behavior of various groups of people and to take targeted action against specific persons. Research is still being done to better AI algorithms, lessen bias, and increase AI's efficacy in preventing crime while also looking into ways to lessen the ethical and legal issues that may arise.

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