AI Governance Dilemma: Balancing State Efficiency and Fundamental Rights

The Hindu - Opinion · 21 Mar 2026 · 2 min read
Prelims · Polity Mains · GS2 Governance High relevance

Governments globally are deploying AI in public administration, raising critical questions about surveillance risks, data privacy, and accountability, with experts advocating for necessity and proportionality tests before adoption.

Key points

AI in Public Administration: Governments are increasingly using AI for efficiency gains, but without clear problem definitions or risk assessments, leading to potential misuse in surveillance and autonomous weapons.

Data Privacy Concerns: AI systems often require large datasets, raising issues about informed consent and secondary uses of data, particularly in countries with low digital literacy like India.

Constitutional Safeguards: The deployment of AI must align with fundamental rights under Articles 14, 19, and 21 of the Indian Constitution, ensuring privacy and preventing discriminatory practices.

Global Precedents: The Pentagon-Anthropic dispute highlights tensions between state demands for AI capabilities and corporate safeguards against harmful applications.

Proportionality Principle: Experts recommend a 'do no harm' approach, with prohibitions in high-risk areas like facial recognition and health data applications.

[GS3-Economy] The push for AI efficiency often masks labour substitution, impacting employment structures and necessitating policy interventions to protect workers' rights.

Public-Private Partnerships: Governments must scrutinize partnerships with AI companies to prevent public data from being exploited for private gain without accountability.

Way Forward: India should establish a national AI governance framework mandating necessity tests, transparency in data usage, and strict penalties for misuse, while promoting digital literacy to empower citizens.

Key terms

Informed Consent

The ethical requirement that individuals fully understand how their data will be used, critical in AI systems to prevent exploitation, especially in low-literacy contexts.

Public-Private Partnership (PPP)

Collaborations where private entities provide public services, requiring stringent oversight in AI to prevent data commodification and ensure public interest alignment.

Article 21

Guarantees the Right to Life and Personal Liberty, interpreted by courts to include privacy and dignity, forming the constitutional basis for challenging intrusive AI surveillance.

Proportionality Test

A legal principle requiring that government actions, including AI deployment, must be necessary, least intrusive, and balanced against rights infringements.