In yesterday’s post, we listed the following eight AI guidlines that have been released by different organizations in India.
- DGPSI-AI (Naavi/FDPPI): A DPDPA framework for Data Fiduciaries who carry AI risk either directly or through the processors. It mainly addressed the implementation specifications for the deployer and added the obligations of adevloper or licensor to be enforced contractually by the Data Fiduciary.
- AIGSI or Artificial Intelligence Governance Standard of India. (Naavi/FDPPI) Released recently as a comprehensive Standard for AI developers and deployers. Current version is for discussion and would be updated with the other frameworks now available.
3. AI Governance guideline . (Meity): A framework for AI Innovation released by the MeitY. Also discusses some aspects of accountability but placed “Innovation” over “Restraint” as the basic principle.
4. AI usage in vulnerability analysis . (CERT): This document highlights the need for use of AI for fighting AI vulnerabilities.
5. Model Risk Management Framework. (RBI): This is a specific guideline issued by RBI as a regulator to its regulated entities. It contains several AI principles like human supervision and killer switch that were advocated in DGPSI-AI.
6. Guideline for AI usage in Judiciary (Supreme Court): Supreme Court issued a set of guidelines for use of AI in Judiciary which had its own organizational set up.
Naavi.org has already discussed these guidelines in detail in earlier posts.
In the last few days two more guidelines have appeared.
7. security audit guideline on November 4, 2026 for AI. (CERT In). This is an “Audit framework” for AI security and is relevant for DGPSI AI also. We shall discuss this now separately
8. Discussion paper on AI Liability (DSCI): Released by DSCI for discussion on how accountability for AI need to be fixed across the value chain.
9. National Framework for AI from NITI Ayog. This was released in 2018 and was added to the list of other 8 frameworks so that the unification of the framework will cover this framework also. This framework highlighted the key challenges and a way ahead for AI adoption in India from the NITI Ayog perspective.
FDPPI will now attempt an upgradation of AIGSI which we shall call for the present “Unified AIGSI” to recognize the contribution from multiple sources.
Watch out for the developments…
Naavi
