Current AI "Governance" by old school Governance "Experts" is a joke
AI governance gets weird when it turns into a yes/no committee.
The better question is usually not "should we allow AI?"
It is:
- what problem is this rollout actually solving
- who owns the risk when the workflow changes
- what evidence proves the control is working
- where does the risk register live once everyone starts moving fast
That last bit matters.
AI adoption does not fail because someone forgot to write a policy. It fails because ownership, evidence, exceptions, and follow-through end up scattered across docs, tickets, chats, vendor portals, and somebody's memory.
Then the committee becomes the brake because nobody can see the operating picture.
Governance should be the thing that lets good teams move faster.
Clear risk appetite. Visible owners. Evidence tied to the control. A risk register people can actually use while the rollout is still moving.
That is the difference between "we have an AI policy" and "we can prove this AI rollout is being managed deliberately."
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5 comments
Rene Baron
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Current AI "Governance" by old school Governance "Experts" is a joke
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