Approach Document for India Part 1 – Principles for Responsible AI
This approach document, published by NITI Aayog in February 2021, establishes broad ethical principles for the design, development, and deployment of artificial intelligence in India. Grounded in the fundamental rights of the Indian Constitution, the paper examines key system and societal considerations such as safety, reliability, equality, privacy, and accountability. It serves as an essential roadmap for the Indian AI ecosystem to encourage responsible adoption and build public trust.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This document is for policymakers, AI developers, deployers, researchers, and organizations in India seeking guidance on designing and deploying AI responsibly.
What the document contains
The document addresses the ethical, system-level, and societal considerations of narrow AI applications in India. It outlines seven core principles for responsible AI management derived from constitutional provisions and details legal, regulatory, and technology-based approaches.
Enforcement mechanisms and detailed operationalization guidelines for the public and private sectors, which are reserved for the upcoming Part 2 of the strategy.
- AI adoption in India has grown significantly across sectors like agriculture, health, and education, but it brings notable risks and challenges.
- AI ethics principles in India are grounded in the fundamental rights and constitutional morality afforded to citizens by the Constitution.
- Considerations are grouped into systems considerations (design and deployment choices) and broader societal considerations.
- The paper identifies seven core principles for the responsible management of AI, ranging from safety and reliability to human values.
- NITI Aayog is working on a second part of the paper focused on operationalization and enforcement mechanisms across sectors.
· Introduction · 1. The Need for Responsible AI - Exploring the Ethical Considerations - Systems Considerations - Societal Considerations · 2. Legal and Regulatory Approaches for Managing AI Systems · 3. Technology Based Approach for Managing AI Systems · 4. Principles for Responsible Management of AI Systems · Appendix - 1. Self-Assessment Guide for AI Usage - 2. Review of Global Regulatory Landscape - 3. Model Transparency Mechanisms
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
Difficulty in assigning accountability
Introduction
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
3. Principle of Inclusivity and Non-discrimination
Introduction
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
7. Principle of protection and reinforcement of positive human values
Introduction
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
4. Principle of Privacy and security
Introduction
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
5. Principle of Transparency
Introduction
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
NITI Aayog is already working on Part-2 of the Paper that would provide the approach towards ongoing update of Principles and enforcement mechanisms
Introduction
screening score · 2026-10-23
Impact Assessment
1/5Required assessment of an AI system's risks/impacts before or during use
The measures may be suitably calibrated according to the specific risk associated with different AI applications in a manner that keeps pace with technology advances.
Introduction
screening score · 2026-10-23