National Strategy for Artificial Intelligence
This discussion paper by NITI Aayog outlines India's national strategy for artificial intelligence under the banner of #AIforAll, focusing on inclusive growth and social impact. It identifies key focus areas for AI intervention including healthcare, agriculture, education, smart cities and infrastructure, and smart mobility and transportation. Furthermore, the document addresses core challenges such as data ecosystems, research gaps, skilling, and issues related to ethics, privacy, security, and intellectual property.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, researchers, industry practitioners, and stakeholders interested in India's roadmap for artificial intelligence development and adoption.
What the document contains
The document addresses India's strategic vision for artificial intelligence, sectoral applications across healthcare, agriculture, education, smart cities, and transport, barriers to adoption, and foundational requirements including research infrastructure, skilling, data marketplaces, privacy, ethics, and intellectual property.
Specific binding legislation, detailed execution schedules, and definitive financial allocations or budgeting targets.
- India's national AI strategy is premised on the brand of #AIforAll, focusing on technology leadership for inclusive social and economic growth.
- NITI Aayog prioritizes five core sectors for AI intervention: healthcare, agriculture, education, smart cities and infrastructure, and smart mobility and transportation.
- The strategy proposes a two-tiered research structure comprising Centres of Research Excellence (COREs) for core research and International Centres for Transformational AI (ICTAIs) for applied research.
- To overcome data bottlenecks and foster adoption, the document proposes a multi-stakeholder National AI Marketplace (NAIM) encompassing data, data annotation, and deployable models.
- Addressing ethical considerations, privacy, data protection, security, and intellectual property are highlighted as essential prerequisites for sustainable AI deployment.
Introduction Executive Summary What is Artificial Intelligence? Global Developments in Artificial Intelligence Artificial Intelligence and India Focus Areas for AI Intervention Key Challenges to Adoption of AI in India Way Forward to Harness the Power of AI
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
3/5Clear responsibility for AI outcomes
Most discussions on ethical considerations of AI are a derivation of the FAT framework (Fairness, Accountability and Transparency).
Executive Summary
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
Most discussions on ethical considerations of AI are a derivation of the FAT framework (Fairness, Accountability and Transparency).
Executive Summary
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
#AIforAll means technology leadership in AI for achieving the greater good.
INTRODUCTION
screening score · 2026-10-23
Human Oversight
2/5Humans remain in control of consequential decisions
AI presents opportunities to complement and supplement human intelligence
Introduction
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
Data is one of the primary drivers of AI solutions, and thus appropriate handling of data, ensuring privacy and security is of prime importance.
Executive Summary
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
Most discussions on ethical considerations of AI are a derivation of the FAT framework (Fairness, Accountability and Transparency).
Executive Summary
screening score · 2026-10-23