Assess whether training data has a lawful basis and documented lineage

SITUATION In a university licensing an AI proctoring vendor, shadow-IT chatbot connected to customer PII is the evidence after a board deck that called the system 'fully explainable'. Model-risk officer has to pick Policy or governance breach or Model defect for this AI Governance Policy and Oversight close using shadow-IT chatbot connected to customer PII.

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 shadow-IT chatbot connected to customer PII after a board deck that called the system 'fully explainable'.

HYPOTHESES TO TEST 1. A board deck that called the system 'fully explainable' is noise around an already-controlled Policy and Oversight process in a university licensing an AI proctoring vendor, given shadow-IT chatbot connected to customer PII. 2. A board deck that called the system 'fully explainable' is the event in shadow-IT chatbot connected to customer PII that forces Policy or governance breach for model-risk officer under AI Governance. 3. Shadow-IT chatbot connected to customer PII shows a one-file miss after a board deck that called the system 'fully explainable', not a Policy and Oversight program failure. 4. Shadow-IT chatbot connected to customer PII cannot decide training data has a yet after a board deck that called the system 'fully explainable'; hold is the only AI Governance close a university licensing an AI proctoring vendor can defend.

ANALYSIS REQUIRED 1. Reproduce the incident row in shadow-IT chatbot connected to customer PII and say whether it ever touched production data. 2. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in shadow-IT chatbot connected to customer PII. 3. Reproduce the incident row in shadow-IT chatbot connected to customer PII and say whether it ever touched production data. 4. For this AI Governance Policy and Oversight file, read shadow-IT chatbot connected to customer PII against a board deck that called the system 'fully explainable' and write the one fact that would move training data has a for model-risk officer.

RECOMMENDATION Model-risk officer should take Model defect on training data has a unless shadow-IT chatbot connected to customer PII after a board deck that called the system 'fully explainable' already proves Policy or governance breach for this Policy and Oversight packet in a university licensing an AI proctoring vendor. Keep Dual failure live only while shadow-IT chatbot connected to customer PII is missing the decision training data has a turns on. The working test on shadow-IT chatbot connected to customer PII is whether Reproduce the incident row in shadow-IT chatbot connected to customer PII and say whether .