Assess whether disagreement should block, queue, or log (5100ee)

SITUATION In a bank running three models on the same credit file, output-scoring rubric that never fails a high-risk output is the evidence after drift in a protected class the dashboard does not show. Content-attribution program lead has to pick Disagreement should block, queue, or Log for this AI Governance Layer Audit and Vendor Terms close using output-scoring rubric that never fails a high-risk output.

DECISION Content-attribution program lead in a bank running three models on the same credit file must choose Disagreement should block, queue, / Log using output-scoring rubric that never fails a high-risk output after drift in a protected class the dashboard does not show.

HYPOTHESES TO TEST 1. Authorize Disagreement should block, queue, now; output-scoring rubric that never fails a high-risk output already has the discriminator after drift in a protected class the dashboard does not show. 2. Keep Log in force until output-scoring rubric that never fails a high-risk output is completed after drift in a protected class the dashboard does not show for content-attribution program lead. 3. Treat output-scoring rubric that never fails a high-risk output as Disagreement should block, queue, because both readings appear after drift in a protected class the dashboard does not show. 4. Refuse a AI Governance Layer close: content-attribution program lead does not have the decision disagreement should block, queue, turns on in output-scoring rubric that never fails a high-risk output.

ANALYSIS REQUIRED 1. Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate content-attribution program lead can enforce. 2. Name the override that would let disagreement should block, queue, proceed without a silent bypass. 3. Test whether drift in a protected class the dashboard does not show changed routing, logging, or human-in-the-loop on the live agent path. 4. For this AI Governance Layer Audit and Vendor Terms file, read output-scoring rubric that never fails a high-risk output against drift in a protected class the dashboard does not show and write the one fact that would move disagreement should block, queue, for content-attribution program lead.

RECOMMENDATION Choose Disagreement should block, queue, / Log on this AI Governance Layer / Audit and Vendor Terms packet (output-scoring rubric that never fails a high-risk output after drift in a protected class the dashboard does not show). If output-scoring rubric that never fails a high-risk output cannot force a AI Governance Layer label under Audit and Vendor Terms, stop. Do not invent missing evidence a bank running three models on the same credit file does not have.