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Summary
This episode of the AI Governance Podcast features Sunil Gregory, Client Partner at Cognizant, and Dr. Anindya Sircar, IPR Chair at NALSAR University of Law in Hyderabad - co-authors of the AI Governance Handbook (Springer, 2025). They join Matt McCallum to discuss what enterprise AI governance actually looks like in practice and how it differs across India, the US, and the EU.
They explore the structural fix for shadow AI inside large enterprises, the inventory test for IP exposure, and the central argument of their forthcoming follow-up: that AI does not need a new legal architecture, the right response is to extend existing legal doctrine rather than invent new statutes.
You can listen on Spotify or Apple Music or watch the episode here on YouTube.
Key takeaways
Why most enterprise IP exposure programs are simultaneously over- and underestimated, and the inventory test that determines whether governance is really in control.
The structural fix for shadow AI inside large enterprises: a three-layer model for the CIOs whose AI budgets have already been spent on pilots that never graduated.
Why Western enterprise leaders most often misread India's DPDP Act as underdeveloped and what they miss when they fail to treat the principle-based framework as a deliberate choice rather than a gap.
A preview of Sunil and Anindya's forthcoming follow-up book, and the case for extending existing legal doctrine across five dimensions rather than inventing new AI-specific statutes.
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