ARTIFICIAL INTELLIGENCE IN POLICING

AUTHOR – JIGYASA, LL.M STUDENT AT RASHTRIYA RAKSHA UNIVERSITY, GUJARAT

BEST CITATION – JIGYASA, ARTIFICIAL INTELLIGENCE IN POLICING, INDIAN JOURNAL OF LEGAL REVIEW (IJLR), 5 (8) OF 2025, PG. 1128-1136, APIS – 3920 – 0001 & ISSN – 2583-2344

ABSTRACT

The role of artificial intelligence in law enforcement is undeniable, especially with the introduction of predictive policing, facial recognition technology, automated license plate recognition systems, and natural language processing systems, all of which are intended to prevent crime, ensure public safety, and quicken response. However, some obvious challenges arise when these tools are introduced within the context of law enforcement, particularly issues related to ethical practices, social equity, and privacy in the case of algorithmic accountability. Discriminative designs in law enforcement perpetuate biases and opposing stereotypes within specific groups. Also, surveillance technologies and strategies, whose rationales are usually not very clear, are arguably an invasion of privacy because a lot, if not most, of the decision-making processes are done in a so-called ‘black box’ mode.

The success and the ethical challenges are drawn from the case studies of cities such as Los Angeles and London, while the latter compares with the use of AI technology and surveillance in policing in China and how the two countries differ in ideology and practice with respect to AI and surveillance.

To enhance the use of artificial intelligence in the administration of law, there is a need for a very thin line to be drawn between technological advancement and ethical issues. Face-saving marriage between regulators, builders of AI, or any technology and police is possible and helps in the development of civil liberties protective measures while still ensuring that AI is beneficial to the social order in an acceptable manner. This paper supports an ethical responsibility that recognises the importance of transparency, public trust, equality, and mechanisms of accountability in the use of artificial intelligence in policing to improve security in society without infringing on individual rights.

KEYWORDS: Artificial intelligence, policing, privacy, law enforcement.