Governance, Safety & Risk Management·Task 5.5·Bloom: apply·Difficulty 2/5·8 min read·Updated 2026-07-14

Decision Logging for Explainability for the CCAR-P Exam

Address ethical AI considerations (bias, fairness, transparency)

SUBy Solomon UdohReviewed by Solomon UdohAI-assisted · human-reviewed
In short
Decision logging captures the inputs, retrieved context, model output, and every routing step for each decision, tied together so a single decision can be reconstructed and explained later. It is the same observability instrumentation used for system health, redirected toward explaining a specific decision rather than monitoring the system. A decision that cannot be reconstructed from the log cannot be reliably explained, and decision logs are themselves sensitive data subject to the same compliance controls as any other regulated data.

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