National Strategy for Artificial Intelligence
This discussion paper by NITI Aayog outlines India's national strategy for Artificial Intelligence, emphasizing the philosophy of #AIforAll to drive inclusive economic growth and social development. It proposes interventions across five key focus areas—healthcare, agriculture, education, smart cities and infrastructure, and smart mobility and transportation. Furthermore, the strategy recommends establishing a two-tiered research ecosystem consisting of Centers of Research Excellence (COREs) and International Centers for Transformational Artificial Intelligence (ICTAIs), alongside a multi-stakeholder National AI Marketplace (NAIM).
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Who issued it
Who it governs
Policymakers, researchers, industry leaders, and academic institutions should read this document to understand India's national strategic direction for AI development and adoption.
What the document contains
The document addresses the strategic roadmap for artificial intelligence in India, covering economic impact, social development applications across five core sectors, research frameworks, workforce skilling, accelerating adoption via marketplaces, and addressing ethics, privacy, security, and intellectual property.
Specific execution budgets, binding statutory regulations, and detailed financial allocations are intentionally omitted to allow for wider consultations and consensus building.
- India's national AI strategy is premised on the concept of #AIforAll, focusing on leveraging technology leadership for social and inclusive growth.
- NITI Aayog identifies five priority sectors for AI intervention: healthcare, agriculture, education, smart cities and infrastructure, and smart mobility and transportation.
- The paper proposes a two-tiered research ecosystem comprising Centres of Research Excellence (COREs) for core research and International Centres for Transformational Artificial Intelligence (ICTAIs) for applied research.
- To overcome data scarcity and market fragmentation, the strategy advocates for a National AI Marketplace (NAIM) encompassing data, annotation, and deployable models.
- Addressing workforce disruption requires large-scale skilling and reskilling initiatives, along with promoting job creation in foundational areas like data annotation.
1. Introduction 2. Executive Summary 3. What is Artificial Intelligence? 4. Global Developments in Artificial Intelligence 5. Artificial Intelligence and India 6. Focus Areas for AI Intervention (Healthcare, Agriculture, Education, Smart Cities and Infrastructure, Smart Mobility and Transportation) 7. Key Challenges to Adoption of AI in India 8. Way Forward to Harness the Power of AI 9. Research 10. Skilling for the AI Age 11. Accelerating Adoption 12. Ethics, Privacy, Security and Artificial Intelligence 13. Actions for the Government 14. Appendix I: Artificial Intelligence Explained 15. Appendix II: Global Country Strategy Review 16. Appendix III: Data Ecosystem
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Privacy
4/5Protection of personal data and private life
The 7-core principles of data protection and privacy – informed consent, technology agnosticism, data controller accountability, data minimisation, holistic application, deterrent penalties and structured enforcement – are quite comprehensive
Ethics, Privacy, Security and Artificial Intelligence
screening score · 2026-10-23