From AI Policy to AI Control: Building Governance That Works
A piece in the National Law Review argues that AI governance needs to move beyond policy documents toward actual operational controls that shape how AI systems behave in practice.
Why this matters: Writing an AI policy is easy. Making it do anything is the hard part. Most organizations have governance documents that sit in a drawer while the actual AI tools run however they run. The gap between policy and control is where harm happens. This piece points at a real problem: accountability means nothing if the rules only exist on paper and no one can show they changed what the system actually does.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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