India Adopts Hands-Off AI Governance to Boost Innovation

Key Takeaways

  • India adopts ‘hands-off’ AI governance to boost innovation with guardrails
  • Seven core principles and six key recommendations form the new framework
  • No immediate plans for AI legislation, focus remains on enabling adoption

The Ministry of Electronics and Information Technology (MeitY) has unveiled India’s AI Governance Guidelines, marking a significant shift toward a pro-innovation approach to artificial intelligence regulation. Released on November 6, 2025, the framework emphasizes enabling AI adoption while maintaining essential safeguards.

New Framework Replaces Previous Draft

The current guidelines represent a substantial revision of the consultation framework released in January 2025. A committee led by Balaraman Ravindran, head of IIT Madras’s Department of Data Science and Artificial Intelligence, drafted the new document.

These guidelines are distinct from the proposed amendment to IT Rules, 2021, which focuses on labeling AI-generated content on social media platforms.

MeitY Additional Secretary Abhishek Singh described the guidelines as “a cornerstone in developing AI for India, and can be a role model for AI governance globally.”

Seven Principles for Responsible AI

The framework establishes seven core principles: trust, people-centricity, responsible innovation, equity, accountability, understandability of LLMs, and safety, resilience and sustainability.

Mr. Ravindran clarified the intent behind the guidelines: “We’re calling this the AI Governance Guidelines, not AI regulation or anything like that, because we don’t want it to be viewed as something that throttles AI adoption in India. It’s as much about enabling adoption and making it impactful for India.”

The current approach scales back the previous framework’s risk-minimization focus in favor of promoting innovation with guardrails. It also moves away from earlier work by NITI Aayog and OECD that influenced the initial draft.

No Immediate AI Legislation Planned

The report suggests that future laws should address “emerging risks and capabilities” of AI systems. However, IT Secretary S. Krishnan indicated no immediate plans for AI legislation, though the government would act swiftly if urgent need arises.

The guidelines launch precedes the Delhi AI Impact Summit scheduled for February 2026, following similar international gatherings in the UK, Seoul, and Paris.

Six Key Recommendations

The framework outlines six primary recommendations:

  • Expand access to AI infrastructure and leverage digital public infrastructure
  • Build AI capacity through skilling initiatives
  • Adopt balanced, agile regulatory frameworks
  • Mitigate risks using India-specific factors
  • Boost accountability through greater transparency in AI value chains

Short-term priorities include establishing governance institutions, developing India-specific risk frameworks, and increasing access to AI safety tools. Medium-term goals involve legal amendments, operationalizing AI incident systems for cybersecurity, and integrating DPIs like Aadhaar with AI.

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