AI Governance Starts With Decisions
15 Sept 2026 · 1 min
0:39
In this brief presentation, the speaker argues that organizations often mistakenly begin AI governance by creating policies, committees, and risk documents, but true leadership should start by defining the decisions AI will be involved in. He proposes a decision taxonomy that distinguishes between decisions AI should merely inform, those it can recommend, and those that must remain fully human. The speaker also emphasizes the need to clarify where accountability lies when AI participates in a decision. By shifting the focus from static documentation to an operating model centered on decision-making, AI governance can become an enabler rather than a bottleneck, giving leaders confidence to act faster.
