Assess whether vendor terms allow customer data in training (33997f)

SITUATION Content-attribution program lead in a firm whose vendor MSA is silent on training rights has one working extract — reconciliation policy when two models split on materiality — after an examiner asking who authorized last Tuesday's model output. If reconciliation policy when two models split on materiality cannot support vendor terms allow customer, the only defensible AI Governance Layer output is hold.

DECISION Content-attribution program lead in a firm whose vendor MSA is silent on training rights must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using reconciliation policy when two models split on materiality after an examiner asking who authorized last Tuesday's model output.

HYPOTHESES TO TEST 1. Reconciliation policy when two models split on materiality 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. 2. Reconciliation policy when two models split on materiality is closer to Model defect after an examiner asking who authorized last Tuesday's model output; Policy or governance breach would over-claim this Lifecycle and Accountability extract. 3. Dual failure is still live in reconciliation policy when two models split on materiality for content-attribution program lead in a firm whose vendor MSA is silent on training rights. 4. Reconciliation policy when two models split on materiality is missing the fact content-attribution program lead needs after an examiner asking who authorized last Tuesday's model output; stop this AI Governance Layer close.

ANALYSIS REQUIRED 1. Name the override that would let vendor terms allow customer proceed without a silent bypass. 2. 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. 3. Score whether the agent action in reconciliation policy when two models split on materiality was in-policy, out-of-policy, or unlogged. 4. For this AI Governance Layer Lifecycle and Accountability file, read reconciliation policy when two models split on materiality against an examiner asking who authorized last Tuesday's model output and write the one fact that would move vendor terms allow customer for content-attribution program lead.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Lifecycle and Accountability packet (reconciliation policy when two models split on materiality after an examiner asking who authorized last Tuesday's model output). The follow-on Lifecycle and Accountability action is what content-attribution program lead does next: implement the option, assign an owner, and log the missing fact.