Assess whether a score that never fails is a control or theater (7a716c)

Situation

After a customer discovering AI copy with no disclosure, output-scoring rubric that never fails a high-risk output is what content-attribution program lead can touch in a firm whose vendor MSA is silent on training rights. AI Governance Layer will live with A score that never fails is a control versus Theater on this Lifecycle and Accountability file.

Decision

Content-attribution program lead in a firm whose vendor MSA is silent on training rights must choose A score that never fails is a control / Theater 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 score that never fails is a control 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 Theater after a customer discovering AI copy with no disclosure; A score that never fails is a control would over-claim this Lifecycle and Accountability extract.
• A dual reading is still live in output-scoring rubric that never fails a high-risk output for content-attribution program lead in a firm whose vendor MSA is silent on training rights.
• Output-scoring rubric that never fails a high-risk output is missing the fact content-attribution program lead needs after a customer discovering AI copy with no disclosure; stop this AI Governance Layer close.

Analysis required

• Name the override that would let a score that never proceed without a silent bypass.
• Test whether a customer discovering AI copy with no disclosure 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 Lifecycle and Accountability 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 score that never for content-attribution program lead.

Recommendation

Choose A score that never fails is a control / Theater on this AI Governance Layer / Lifecycle and Accountability packet (output-scoring rubric that never fails a high-risk output after a customer discovering AI copy with no disclosure). Lead with the AI Governance Layer option output-scoring rubric that never fails a high-risk output can support after a customer discovering AI copy with no disclosure, then the two facts that force it, then the Monday action for content-attribution program lead in a firm whose vendor MSA is silent on training rights.