Operational AI Governance and Risk Management
The IEEE Computer Society has published material addressing operational AI governance and risk management, focusing on how organizations can put AI oversight into practice rather than keeping it at the policy level.
Why this matters: Most AI governance talk stays abstract. The harder problem is what happens inside organizations day to day — who reviews model decisions, who owns the risk when something goes wrong, and whether oversight processes actually run or just exist on paper. IEEE framing this as operational puts the focus where it belongs: on real accountability structures, not mission statements.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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