Assess whether a split between models is a review queue or noise (c2eb0b)

Situation

Output-scoring rubric that never fails a high-risk output arrived with a customer discovering AI copy with no disclosure for decision-audit designer. That is a AI Governance Layer Audit and Vendor Terms decision on a split between models in a hospital committee that never records dissent.

Decision

Decision-audit designer in a hospital committee that never records dissent must choose A split between models is a review queue / Noise using output-scoring rubric that never fails a high-risk output after a customer discovering AI copy with no disclosure.

Hypotheses to test

• Output-scoring rubric that never fails a high-risk output reads as A split between models is a review queue once a customer discovering AI copy with no disclosure is lined up to the same AI Governance Layer population.
• Output-scoring rubric that never fails a high-risk output is closer to Noise after a customer discovering AI copy with no disclosure; A split between models is a review queue would over-claim this Audit and Vendor Terms extract.
• A dual reading is still live in output-scoring rubric that never fails a high-risk output for decision-audit designer in a hospital committee that never records dissent.
• Output-scoring rubric that never fails a high-risk output is missing the fact decision-audit designer needs after a customer discovering AI copy with no disclosure; stop this AI Governance Layer close.

Analysis required

• 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 decision-audit designer can enforce.
• Name the override that would let a split between models proceed without a silent bypass.
• For this AI Governance Layer Audit and Vendor Terms 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 a split between models for decision-audit designer.

Recommendation

Choose A split between models is a review queue / Noise on this AI Governance Layer / Audit and Vendor Terms packet (output-scoring rubric that never fails a high-risk output after a customer discovering AI copy with no disclosure). The follow-on Audit and Vendor Terms action is what decision-audit designer does next: implement the option, assign an owner, and log the missing fact.