Assess whether audits can reconstruct who authorized what (4fa90e)

Situation

After an examiner asking who authorized last Tuesday's model output, output-scoring rubric that never fails a high-risk output is what multi-model reconciliation lead can touch in an enterprise that just bought an AI 'control plane' vendor. AI Governance Layer will live with Policy or governance breach versus Model defect on this Audit and Vendor Terms file.

Decision

Multi-model reconciliation lead in an enterprise that just bought an AI 'control plane' vendor must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using output-scoring rubric that never fails a high-risk output after an examiner asking who authorized last Tuesday's model output.

Hypotheses to test

• Output-scoring rubric that never fails a high-risk output reads as Policy or governance breach once an examiner asking who authorized last Tuesday's model output is lined up to the same AI Governance Layer population.
• Output-scoring rubric that never fails a high-risk output is closer to Model defect after an examiner asking who authorized last Tuesday's model output; Policy or governance breach would over-claim this Audit and Vendor Terms extract.
• Dual failure is still live in output-scoring rubric that never fails a high-risk output for multi-model reconciliation lead in an enterprise that just bought an AI 'control plane' vendor.
• Output-scoring rubric that never fails a high-risk output is missing the fact multi-model reconciliation lead needs after an examiner asking who authorized last Tuesday's model output; stop this AI Governance Layer close.

Analysis required

• Name the override that would let audits can reconstruct who proceed without a silent bypass.
• Test whether an examiner asking who authorized last Tuesday's model output changed routing, logging, or human-in-the-loop on the live agent path.
• Score whether the agent action in output-scoring rubric that never fails a high-risk output was in-policy, out-of-policy, or unlogged.
• For this AI Governance Layer Audit and Vendor Terms file, read output-scoring rubric that never fails a high-risk output against an examiner asking who authorized last Tuesday's model output and write the one fact that would move audits can reconstruct who for multi-model reconciliation lead.

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