UPSC Notes

Artificial Intelligence (AI) Governance and Regulation

PYQs

8

Articles

1

Momentum

21

Phase IFoundation

Background

Overview

AI is a transformative technology with profound implications for economy, society, governance, and national security. UPSC expects candidates to understand its potential, challenges, and the policy responses required for its responsible development and deployment, including ethical considerations and regulatory oversight.

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn like humans. Its rapid advancement necessitates robust governance and regulatory frameworks to ensure ethical deployment, mitigate risks, and protect stakeholders across various sectors.

Phase IIStatic core

Facts & tables

Key facts

Core Focus

Ensuring ethical, transparent, and explainable adoption of AI tools and models.

Risk Mitigation

Addressing data protection, cyber security risks (e.g., automated attacks), and potential challenges to policyholders.

Regulatory Scope

Reviewing global regulatory and supervisory approaches and suggesting sector-specific frameworks (e.g., for insurance).

Accountability

Prescribing frameworks for implementing security controls, conducting stress tests, and establishing AI audit requirements (pre-deployment and post-deployment).

Reference table

Static syllabus anchors

TypeReference
Conceptual areaEmerging Information Technologies

Reference table

Institutions & roles

BodyRole
IRDAIInitiates regulatory framework for insurance sector
CERT-InProvides cybersecurity expertise
Reserve Bank Information Technology (ReBIT)Provides financial technology expertise
Phase IIIExam lens

Prelims angle

Overview

Prelims angle: Factual recall

Prelims angle: Multi-statement analysis

Quick revision

  • Focus on ethical, transparent, and explainable AI.
  • Mitigation of data protection and cybersecurity risks.
  • Review of global regulatory approaches for AI.
  • Development of pre-deployment and post-deployment AI audit frameworks.
  • Identification of skill gaps and capacity-building needs.

High-confidence PYQs

Topic timeline

Emerging Information Technologies

IRDAI forms working group on AI

19 Jun 2026 · AI governance involves establishing rules, standards, and best practices for the ethical, transparent, and secure development and deployment of AI systems, addressing issues like data privacy, bias, accountability, and cybersecurity risks across various sectors.

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Related topics

Current topic

Artificial Intelligence (AI) Governance and Regulation

Practice writing on this topic

UPSC has asked 8 linked questions on Artificial Intelligence (AI) Governance and Regulation in Mains. Write an answer to one — and get it evaluated.