Union Health Minister Shri J P Nadda Addresses Side Event on “Artificial Intelligence in Health: Laws, Ethical Oversight, Research and Equity” at the 79th World Health Assembly in Geneva

1. At a Glance

2. Why in the News

3. Background & Evolution

4. Core Static Facts

5. Multi-Dimensional Analysis

Scientific / Technological - AI use-cases highlighted: diagnostics, screening (e.g., early lung cancer), drug discovery, personalised medicine, predictive epidemiology [S1]. - Builds on India's digital public infrastructure (DPI) — ABDM, eSanjeevani, U-WIN, CoWIN — for interoperable data layers [S3].

Legal / Ethical Governance - SAHI frames AI as governed by regulation + ethical oversight + research integrity + equity — Nadda's four-pillar formulation [S1]. - Aligns with WHO's 2024 ethics guidance on LMMs; addresses bias, accountability, transparency, informed consent. - Domestic anchors: DPDP Act 2023, draft Digital India Act, Telemedicine Practice Guidelines 2020.

Geopolitical / Strategic - Positions India as norm-setter from the Global South in AI-health governance [S4]. - Supports India's G20 Delhi Declaration (2023) push on AI for SDGs and the Global Initiative on Digital Health (GIDH).

Social / Equity - Equity emphasis aimed at ensuring AI benefits reach rural, tribal, low-literacy populations — guards against algorithmic bias that disadvantages under-represented datasets [S1]. - Workforce-readiness pillar tackles digital divide among ASHA/ANM cadres [S4].

Administrative - Whole-of-government model: MoHFW + MeitY + NITI Aayog + ICMR + State health departments [S4].

6. Recent Developments (12–18 months)

7. Prelims Hooks

8. Mains Relevance

9. Related Topics to Study Next

10. Common Errors / Trap Areas

11. Sources