Assess whether training data has a lawful basis and documented lineage

SITUATION Post-deployment drift report the owner never signed arrived with an internal audit finding that human review logs are empty for privacy counsel supporting AI inventory. That is a AI Governance Policy and Oversight decision on training data has a in a pharma company using LLMs on trial documents.

DECISION Privacy counsel supporting AI inventory in a pharma company using LLMs on trial documents must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using post-deployment drift report the owner never signed after an internal audit finding that human review logs are empty.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; post-deployment drift report the owner never signed already has the discriminator after an internal audit finding that human review logs are empty. 2. Keep Model defect in force until post-deployment drift report the owner never signed is completed after an internal audit finding that human review logs are empty for privacy counsel supporting AI inventory. 3. Treat post-deployment drift report the owner never signed as Dual failure because both readings appear after an internal audit finding that human review logs are empty. 4. Refuse a AI Governance close: privacy counsel supporting AI inventory does not have the decision training data has a turns on in post-deployment drift report the owner never signed.

ANALYSIS REQUIRED 1. Walk the model input/output path recorded in post-deployment drift report the owner never signed and mark each hop approved, shadow, or unlogged. 2. Verify data provenance and the human-oversight gate privacy counsel supporting AI inventory can actually point to. 3. Walk the model input/output path recorded in post-deployment drift report the owner never signed and mark each hop approved, shadow, or unlogged. 4. For this AI Governance Policy and Oversight file, read post-deployment drift report the owner never signed against an internal audit finding that human review logs are empty and write the one fact that would move training data has a for privacy counsel supporting AI inventory.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Policy and Oversight packet (post-deployment drift report the owner never signed after an internal audit finding that human review logs are empty). The follow-on Policy and Oversight action is what privacy counsel supporting AI inventory does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance option on training data has a, then the evidence in post-deployment drift report the owner never signed, then the action for privacy counsel supporting AI inventory - Hypothesis scorecard against post-deployment drift report the owner never signed: supported / rejected / untestable - What changes training data has a if an internal audit finding that human review logs are empty is later withdrawn - Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others