A Policy Is Not Evidence: What AI Governance Has to Produce on Demand
A commentary piece argues that having an AI governance policy is not the same as demonstrating that the policy actually works. Organizations need to be able to show, on demand, real evidence that their AI controls function as written.
Why this matters: A policy document is easy to produce. Proof is harder. Right now, many companies have AI governance frameworks that look serious on paper but have never been tested under pressure. When something goes wrong — a biased model, a privacy violation, a bad automated decision — 'we had a policy' is not an answer anyone affected will accept. The accountability question is concrete: can you show what the AI did, why, and who was responsible? If you cannot, the policy was always just decoration.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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