Assess whether training data has a lawful basis and documented lineage

SITUATION A drift alert the product owner dismissed as seasonal put post-deployment drift report the owner never signed in front of model-risk officer in a university licensing an AI proctoring vendor. This AI Governance / Policy and Oversight close is training data has a from post-deployment drift report the owner never signed, and the live options are Policy or governance breach, Model defect, Dual failure.

DECISION Model-risk officer in a university licensing an AI proctoring vendor 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 a drift alert the product owner dismissed as seasonal.

HYPOTHESES TO TEST 1. Model-risk officer can defend Policy or governance breach from post-deployment drift report the owner never signed after a drift alert the product owner dismissed as seasonal in a AI Governance challenge. 2. Model-risk officer cannot defend Policy or governance breach from post-deployment drift report the owner never signed; Model defect is what the extract actually supports after a drift alert the product owner dismissed as seasonal. 3. A drift alert the product owner dismissed as seasonal never reached the population in post-deployment drift report the owner never signed — reopen intake, do not close training data has a. 4. Two facts in post-deployment drift report the owner never signed after a drift alert the product owner dismissed as seasonal conflict for model-risk officer; hold this Policy and Oversight file.

ANALYSIS REQUIRED 1. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in post-deployment drift report the owner never signed. 2. Reproduce the incident row in post-deployment drift report the owner never signed and say whether it ever touched production data. 3. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in post-deployment drift report the owner never signed. 4. For this AI Governance Policy and Oversight file, read post-deployment drift report the owner never signed against a drift alert the product owner dismissed as seasonal and write the one fact that would move training data has a for model-risk officer.

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 a drift alert the product owner dismissed as seasonal). The follow-on Policy and Oversight action is what model-risk officer does next: implement the option, assign an owner, and log the missing fact.