AI governance has mapped the risks but who decides when AI is fit to act?
A commentary piece raises the central unresolved problem in AI governance: risk frameworks have grown sophisticated, but no clear authority or process exists for determining when an AI system is actually ready to make or inform consequential decisions.
Why this matters: Mapping risks is the easy part. Deciding who gets to say 'this system is safe enough to use on real people' is where governance actually matters. Right now that decision sits somewhere between developers, regulators, and buyers, with no one clearly in charge. That gap is not theoretical. It affects hiring tools, medical software, benefits systems, and anything else where an AI output shapes a person's life. Someone has to be accountable when the answer is wrong.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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