AI and Face-Mapping Techniques in Law Enforcement: Navigating Procedural and Ethical Challenges

Artificial Intelligence (AI) and face-mapping technologies are reshaping law enforcement by offering innovative tools for identifying individuals and solving crimes. These systems enable rapid, real-time facial recognition, contributing to enhanced public safety through the identification of suspects, prevention of criminal activities, and locating missing persons. However, the adoption of such technologies raises significant procedural, ethical, and legal concerns. This paper aims to critically assess the impact of AI-based face-mapping on fundamental rights such as privacy and due process. It investigates the potential for algorithmic bias, surveillance overreach, and wrongful identification, especially among marginalized communities. The primary objective of this study is to explore the procedural challenges and risks associated with the use of AI-driven face-mapping in law enforcement. It aims to evaluate the legal frameworks currently governing AI and facial recognition in various jurisdictions, identify gaps in existing laws that could lead to privacy violations or breaches of due process and propose guidelines for the ethical and transparent use of AI in law enforcement, balancing security and human rights. The paper adopts a qualitative research methodology, utilizing a comparative analysis of international and national legal instruments governing AI in law enforcement. The study draws on case law, policy papers, and academic literature to assess the effectiveness of current regulations. Through interviews with legal experts and law enforcement professionals, it also examines the practical challenges faced in the implementation of these technologies. By addressing both the promises and perils of AI in facial recognition, the paper seeks to contribute to the growing discourse on creating a balanced regulatory framework that ensures security without compromising civil liberties.