Archive - AI Governance

Ownership Does Not End At Release Everyone wants AI, but ownership becomes unclear after deployment. AI systems continue to change after release. Data shifts. Outputs…

AI Fails When It Lacks Trust AI does not fail only because of the algorithm. It fails when users do not trust it or misuse…

Decisions Must Be Defensible If agencies cannot defend AI decisions, they should not deploy them. AI systems influence clinical decisions and outcomes. Oversight does not…

Failure After Go-Live AI does not fail at deployment. It degrades after. Most programs monitor whether systems are running, not whether outputs remain accurate or…

AI Requirements for Acceptance If you cannot test it, you cannot accept it. AI programs need measurable requirements, defined risks, and clear test and validation…