- As governments deploy AI in governance, recent disputes like the Pentagon–Anthropic conflict over safeguards highlight rising concerns about accountability, ethics, and control.
Significance of AI in Governance
- Service Efficiency: AI-driven DBT reduces leakages (₹2.7 lakh crore saved), and chatbots improve grievance redressal speed.
- Smart Policymaking: Big data enables real-time decisions, and AI models aid disaster alerts and disease prediction. E.g., COVID tracking.
- Administrative Automation: Automation cuts delays, boosts productivity, and detects fraud in tax and welfare systems.
- Security Enhancement: AI improves surveillance, border control, and crime detection through facial recognition and predictive policing.
Government Initiatives for AI in Governance
- National AI Strategy: NITI Aayog’s “AI for All” focuses on inclusive growth in sectors like health, agriculture, and education.
- IndiaAI Mission: Aims to build AI infrastructure, datasets, and an innovation ecosystem with public–private collaboration.
- Digital India Programme: Promotes AI use in e-governance, service delivery, and data-driven administration.
- Responsible AI Framework: Government guidelines stress ethical AI, transparency, and accountability in public systems.
Challenges and Concerns
- Privacy Risks: Large-scale data collection enables surveillance and function creep. E.g., Aadhaar data used for purposes beyond welfare.
- Algorithmic Bias: Biased datasets can exclude vulnerable groups, and even small DBT errors can deny benefits to rightful beneficiaries.
- Opaque Systems: “Black box” AI reduces transparency, making it hard to fix errors or assign accountability in decisions.
- Data Control: Treating data as an asset risk compromising privacy and increasing dependence on global tech firms, raising concerns about digital colonialism.
- Ethical Threats: AI use in surveillance and autonomous weapons raises risks of misuse in policing, warfare, and political control.
Way Forward
- Ethical Governance: Adopt the “do no harm” principle, necessity, and proportionality, and restrict high-risk AI applications.
- Data Protection: Ensure privacy by design, informed consent, and strong enforcement of data laws.
- AI Accountability: Promote explainable AI, audits, and clear liability for harms caused.
- Capacity Building: Invest in research, infrastructure, talent, and reduce foreign dependence.
- Inclusive AI: Address bias, accessibility, digital divide, and align AI with constitutional values.
“Technology is a good servant but a bad master.” India must use AI carefully, with strong laws, transparency, and safeguards to protect rights and ensure fairness.
Reference: The Hindu
PMF IAS Pathfinder for Mains – Question 596
Approach
- Introduction: Write a brief introduction about the AI in governance.
- Body: Write the role of AI in governance, highlight challenges in building trustworthy AI systems and suggest reforms to align technology with constitutional values.
- Conclusion: Emphasis on a citizen-centric and transparent approach ensures the democratization of AI in governance.
