Smart Witness Protection Mechanisms and Artificial Intelligence: Legal and Regulatory Challenges in India

Abstract

Witness protection has emerged as a critical dimension of criminal justice reform in India, particularly considering persistent concerns regarding intimidation, coercion, hostility, and retaliatory harm faced by witnesses in serious criminal trials. In parallel, the rapid diffusion of artificial intelligence (AI), data-driven governance, and digital public infrastructure has opened new possibilities for strengthening state capacity, improving case management, and enabling more responsive protective frameworks. This paper situates witness protection within the broader interdisciplinary discourse on AI-enabled governance, legal-regulatory reform, and business analytics, with specific emphasis on India’s criminal justice system. It argues that “smart” witness protection mechanisms—understood as digitally supported, risk-sensitive, and administratively coordinated systems—may enhance the efficiency, precision, and scalability of witness safeguarding, but only if embedded within robust legal controls, procedural safeguards, institutional accountability, and privacy-sensitive governance. The paper develops a conceptual analysis of the opportunities and constraints associated with AI-assisted witness protection in India, including risk assessment, threat monitoring, secure case allocation, inter-agency coordination, anonymization, relocation planning, and compliance tracking. It also examines the legal and regulatory challenges that accompany the use of AI in this domain, such as bias, opacity, data protection, due process, evidentiary fairness, cybersecurity, and uneven institutional capacity. The core argument is that technological innovation cannot substitute for legal design; rather, AI should be treated as an enabling instrument within a rights-based, constitutionally grounded, and institutionally auditable witness protection regime. The paper concludes by proposing a policy architecture for India that aligns technological tools with legal accountability, judicial oversight, and victim-witness centric criminal justice reform.