As AI increasingly shapes operational decisions rather than merely assisting tasks, organizations face a governance challenge in clearly defining who holds authority and accountability for AI-driven outcomes. Boards should focus on identifying material AI-supported decisions, mapping who can authorize, oversee, and accept consequences for these decisions, and demanding evidence that authority boundaries are respected and exceptions managed. Effective AI governance requires moving beyond inventories toward accountability frameworks that trace decision authority and ensure humans remain responsible for consequences.
https://www.cio.com/article/4226780/if-ai-makes-the-decision-who-owns-the-consequence.html