Record STMT-M060Advisory

National Strategy for Artificial Intelligence

Strategy State lawSouthern Asia · INadopted

This discussion paper by NITI Aayog outlines India's national strategy for artificial intelligence under the brand '#AIforAll'. It focuses on leveraging AI for social and inclusive growth across critical sectors like healthcare, agriculture, education, smart cities, and mobility. The document also addresses key challenges such as research capacity gaps, data ecosystem barriers, skill shortages, and ethical considerations.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

NITI AayogGovernment (executive) · IN

Lead issuer

Legal forceAdvisory

Under whose authorityState law

Judged fromabstract

Who it governs

National governmentPublic sector bodiesCompaniesAI developers and providersResearchers and academics

Policymakers, researchers, and industry leaders should read this to understand India's roadmap and strategic priorities for artificial intelligence adoption.

Sectors

Cross-sector · healthcare, agriculture, education, smart cities, mobility

What the document contains

What's covered

The document covers India's strategic approach to artificial intelligence, focusing on social impact applications in five key sectors, research infrastructure recommendations, workforce skilling needs, marketplace models for deployment, and foundational considerations around ethics, privacy, and security.

What's missing

Specific execution and financial implications are consciously avoided in this discussion paper, as wider consultations are deemed necessary to refine recommendations.

Key takeaways

India's national AI strategy is framed under the brand '#AIforAll', aiming for inclusive growth and technology leadership.
NITI Aayog identifies five core sectors for high-impact AI intervention: healthcare, agriculture, education, smart cities, and smart mobility.
The strategy proposes a two-tiered research structure comprising Centres of Research Excellence (CORE) and International Centers of Transformational AI (ICTAI).
Skilling and reskilling the workforce are highlighted as vital components to manage job displacement and foster technical aptitude.
The paper emphasizes establishing appropriate data protection frameworks, ethical guidelines, and intellectual property support to foster an AI ecosystem.

Principles it states

Technology leadership in AI for achieving the greater goodOptimization of social goods rather than maximization of topline growthDemocratization of access to and further development of AI

Outline

· INTRODUCTION
· EXECUTIVE SUMMARY
· WHAT IS ARTIFICIAL INTELLIGENCE?
· GLOBAL DEVELOPMENTS IN ARTIFICIAL INTELLIGENCE
· ARTIFICIAL INTELLIGENCE AND INDIA
· FOCUS AREAS FOR AI INTERVENTION
  - Healthcare
  - Agriculture
  - Education
  - Smart Cities and Infrastructure
  - Smart Mobility and Transportation
· KEY CHALLENGES TO ADOPTION OF AI IN INDIA
· WAY FORWARD TO HARNESS THE POWER OF AI
  - RESEARCH
  - SKILLING FOR THE AI AGE
  - ACCELERATING ADOPTION
  - ETHICS, PRIVACY, SECURITY AND ARTIFICIAL INTELLIGENCE
  - ACTIONS FOR THE GOVERNMENT
· APPENDIX I: ARTIFICIAL INTELLIGENCE EXPLAINED
· APPENDIX II: GLOBAL COUNTRY STRATEGY REVIEW
· APPENDIX III: DATA ECOSYSTEM

Issued2018

Length3,038 words · 114 pages

FormatNot recorded

Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

1/5

Clear 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 · 2026-10-24

Fairness

2/5

Non-discrimination and equitable treatment

Challenges include data usage without consent, risk of identification of individuals through data, data selection bias and the resulting discrimination of AI models

Executive Summary

screening score · 2026-10-24

Human Dignity

1/5

Respect for the inherent worth of persons

#AIforAll will aim at enhancing and empowering human capabilities to address the challenges of access

Introduction

screening score · 2026-10-24

Human Oversight

0/5

Humans remain in control of consequential decisions

Introduction

screening score · 2026-10-24

Privacy

3/5

Protection 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 · 2026-10-24

Transparency

2/5

Openness 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 · 2026-10-24

Enforcement

0/5

Consequences and compliance mechanisms with real force

Introduction

screening score · 2026-10-24

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

In pursuance of the above, NITI Aayog has ad opted a three -pronged approach – undertaking exploratory proof -of-concept AI projects in various areas, crafting a national strategy for buil ding a vibrant AI ecosystem in India

Introduction

screening score · 2026-10-24

Topics

artificial_intelligence national_strategy inclusive_growth research_and_development data_ecosystem