Chief AI officer must resolve whether human review is real or a rubber stamp

Situation

Training-data provenance questionnaire arrived with a DPA inquiry about training on European user data for chief AI officer. That is a AI Governance Inventory and Regulatory Fit decision on human review is real in a bank preparing for a model-risk exam.

Decision

Chief AI officer in a bank preparing for a model-risk exam must choose Human review is real / A rubber stamp using training-data provenance questionnaire after a DPA inquiry about training on European user data.

Hypotheses to test

• Training-data provenance questionnaire reads as Human review is real once a DPA inquiry about training on European user data is lined up to the same AI Governance population.
• Training-data provenance questionnaire is closer to A rubber stamp after a DPA inquiry about training on European user data; Human review is real would over-claim this Inventory and Regulatory Fit extract.
• A dual reading is still live in training-data provenance questionnaire for chief AI officer in a bank preparing for a model-risk exam.
• Training-data provenance questionnaire is missing the fact chief AI officer needs after a DPA inquiry about training on European user data; stop this AI Governance close.

Analysis required

• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in training-data provenance questionnaire.
• Reproduce the incident row in training-data provenance questionnaire and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in training-data provenance questionnaire.
• For this AI Governance Inventory and Regulatory Fit file, read training-data provenance questionnaire against a DPA inquiry about training on European user data and write the one fact that would move human review is real for chief AI officer.

Recommendation

Choose Human review is real / A rubber stamp on this AI Governance / Inventory and Regulatory Fit packet (training-data provenance questionnaire after a DPA inquiry about training on European user data). The follow-on Inventory and Regulatory Fit action is what chief AI officer does next: implement the option, assign an owner, and log the missing fact.