Model-deprecation manager must resolve whether deprecation will strand

Situation

In a hospital committee that never records dissent, output-scoring rubric that never fails a high-risk output is the evidence after a customer discovering AI copy with no disclosure. Model-deprecation manager has to pick Policy or governance breach or Model defect for this AI Governance Layer Control Plane and Scoring close using output-scoring rubric that never fails a high-risk output.

Decision

Model-deprecation manager in a hospital committee that never records dissent 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 a customer discovering AI copy with no disclosure.

Hypotheses to test

• The population in output-scoring rubric that never fails a high-risk output is the one a customer discovering AI copy with no disclosure named, so Policy or governance breach follows for this Control Plane and Scoring file.
• The population in output-scoring rubric that never fails a high-risk output is adjacent only to a customer discovering AI copy with no disclosure; Model defect is the honest AI Governance Layer call.
• A hospital committee that never records dissent already contained a customer discovering AI copy with no disclosure before output-scoring rubric that never fails a high-risk output arrived; no new Control Plane and Scoring path.
• Provenance on output-scoring rubric that never fails a high-risk output after a customer discovering AI copy with no disclosure is broken; do not pick Policy or governance breach or Model defect yet.

Analysis required

• Score whether the agent action in output-scoring rubric that never fails a high-risk output was in-policy, out-of-policy, or unlogged.
• Confirm the inventory line still matches the running configuration in a hospital committee that never records dissent.
• Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate model-deprecation manager can enforce.
• For this AI Governance Layer Control Plane and Scoring file, read output-scoring rubric that never fails a high-risk output against a customer discovering AI copy with no disclosure and write the one fact that would move deprecation will strand a for model-deprecation manager.

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