AI Governance M2 L1 Why Traditional Governance Breaks for Agentic AI

Picture one payment that clears every check and settles, with no human in the loop until a report the next morning. Nothing was reckless, but control no longer sits where it used to. This lecture names the three quiet assumptions traditional governance rests on, that work repeats, can be inspected before it takes effect, and can be attributed to a person, and shows how agentic systems remove all three. You will learn the three fault lines to close: autonomy, probabilism, and accountability.

Part of "AI Governance for Agentic Enterprises", a 12-module executive course by Srini Ramakichenane. A practical guide to governing AI that acts on its own, threaded through one running example, Mithras Bank, a fictional cross-border bank. No coding required.

Видео AI Governance M2 L1 Why Traditional Governance Breaks for Agentic AI канала Agentic AI with Srini