Democratising AI in India

1. At a Glance

2. Why in the News

3. Background & Evolution

4. Core Static Facts

5. Multi-Dimensional Analysis

Economic / Technological - Subsidised GPU access (₹65/hr) reduces compute cost barrier for startups, MSMEs, academia [S1]. - Indigenous foundation models (BharatGen, Sarvam) reduce dependence on foreign LLMs [S5]. - IndiaAI Startup Financing pillar deploys risk capital into deep-tech AI ventures [S2].

Social / Inclusion - Multilingual coverage (22 scheduled languages) addresses linguistic equity beyond English [S5]. - AIKosh = "national digital public good" → equal access for Tier-2/3 institutions [S1]. - FutureSkills Prime extends AI skilling beyond metros [S2].

Governance / Ethical - Safe & Trusted AI pillar + IndiaAI Safety Institute mandate Responsible AI: bias mitigation, machine unlearning, privacy-enhancing tech [S5]. - Aligns with Digital Personal Data Protection Act, 2023 obligations.

Strategic / Geopolitical - Sovereign compute + sovereign models reduce strategic dependence amid US export controls on advanced chips [S2]. - India chaired GPAI (Global Partnership on AI) and hosted GPAI Summit Dec 2023; positions India in global AI governance [S2].

Administrative - Public–Private Partnership (PPP) model for GPU empanelment; State/UT partnerships for AI CoEs [S5]. - Hub-and-spoke architecture for Safety Institute pulls in academia, industry, startups [S5].

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