Institutional Capacity for Ethical AI Governance: A Comparative Analysis of Digital Surveillance Policies in Indian Public Administration

Abstract

India's accelerating deployment of digital surveillance infrastructure—spanning biometric databases, facial recognition systems, communication interception networks, and predictive policing algorithms—has significantly outpaced the development of the institutional, legal, and ethical frameworks required to govern these technologies. In this paper, the author compares digital surveillance policies and the institutional capacities of public administration systems in selected democracies, such as the European Union, the United Kingdom, the United States, Singapore, and India, to assess their preparedness for ethical governance of artificial intelligence (AI). This study, based on constitution, instruments, institutional design theory and international indices such as OECD, UNESCO, ITU and Privacy International, identifies that India has major gaps in governance in five areas: (1) adequacy of the legal framework, (2) independent oversight mechanisms, (3) judicial oversight, (4) civil society participation, and (5) transparency. While the enactment of the Digital Personal Data Protection Act (DPDPA), 2023, and the draft NITI Aayog Responsible AI Principles provide emerging foundations, there are gaps in terms of how they will be operated, the strong executive control of surveillance authority and the absence of an independent Data Protection Authority as of mid-2024. The paper sets forth a multi-layered institutional reform agenda, rooted in comparative best practices.