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AI governance has moved from a compliance afterthought to a standing item on board agendas, as directors face direct questions about accountability for AI-driven decisions.
From IT policy to fiduciary duty
Boards that once delegated AI oversight entirely to technology committees are now asking for regular reporting on model risk, similar to how cybersecurity reporting became standardized after a wave of high-profile incidents.
What good governance looks like in practice
Organizations further along describe a common structure: a cross-functional AI risk committee, documented model inventories, and clear escalation paths for AI-related incidents - treating governance as infrastructure rather than paperwork.