AI Governance Podcast
This episode of the AI Governance Podcast features Sunil Gregory [https://www.linkedin.com/in/sunil-gregory-6224548/] and Dr. Anindya Sircar [https://www.linkedin.com/in/anindyasircar/]. Sunil is at Cognizant, where he works with Fortune 500 enterprises on AI governance strategy and operating-model design. Anindya is the IPR Chair at NALSAR University of Law in Hyderabad, having previously run intellectual property at Biocon and Infosys. Together they are co-authors of the AI Governance Handbook (Springer, 2025) and are working on a follow-up that argues regulators are over-engineering the response to AI. Sunil and Anindya joined Enzai's Matt McCallum [https://www.linkedin.com/in/matthew-b-mccallum/] to discuss: The Structural Fix for Shadow AI: Sunil's three-layer model - consolidation, structured funded portfolio, and governance built into the development lifecycle - for CIOs whose AI budgets have already exhausted on pilots that haven't graduated. The IP Inventory Test: Anindya's "smoke detector in a building without a sprinkler system" framing for enterprise IP exposure programs - and the connected inventory question every governance team should be able to answer. Industrialised Inconsistency in Data: Why AI breaks what analytics didn't - when the human silently fixing the data is removed from the loop, every ambiguity surfaces as a wrong answer, a hallucination, or a critical legal exposure. India's Deliberate Choice: Why Western enterprise leaders most often misread India's DPDP Act as underdeveloped - and what they miss when they treat the principle-based framework as a strategic asset rather than a gap. Doctrine Over New Statute: A preview of Sunil and Anindya's follow-up book - and the case for extending existing legal doctrines (IP, privacy, accountability, sovereignty, human dignity) rather than inventing new AI-specific frameworks.
18 episodios
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