Darren GoonawardanaChief Executive Officer & Co-Founder, Collectiv · Chief Executive Officer & Co-Founder at Collectiv

AI Governance Should Start With Decisions

15 Sept 2026 · 1 min

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In this brief presentation, the speaker argues that organizations often mistakenly begin AI governance by creating policies, committees, and risk documentation. While those elements are important, the speaker contends that leadership should first focus on the decisions AI will be involved in. He proposes a decision‑centric framework: identify which decisions AI should inform, which it can recommend, and which must remain fully human. He also stresses the need to clarify where accountability lies when AI participates. By treating governance as an operating model rather than a static set of documents, AI governance can empower leaders to act faster instead of slowing the business.

Chapters

A lot of companies hear AI governance and immediately think about policies, committees, and risk documents. Those things matter, but they are not where leadership should start. Start with decisions. Which decisions should AI inform? Which decisions can AI recommend? Which decisions should stay clearly human? And when AI is involved, where does accountability sit? That turns governance from a document into an operating model. AI governance should not slow the business down. Done properly, it gives leaders the confidence to move faster.