Assess whether human review is real or a rubber stamp (027a77)

Situation

Human review is real sits with HR analytics governance lead because a business unit that already went live without a risk tier hit a bank preparing for a model-risk exam. Evidence is training-data provenance questionnaire; write the AI Governance Policy and Oversight option that extract can carry.

Decision

HR analytics governance lead 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 business unit that already went live without a risk tier.

Hypotheses to test

• Authorize Human review is real now; training-data provenance questionnaire already has the discriminator after a business unit that already went live without a risk tier.
• Keep A rubber stamp in force until training-data provenance questionnaire is completed after a business unit that already went live without a risk tier for HR analytics governance lead.
• Treat training-data provenance questionnaire as Human review is real because both readings appear after a business unit that already went live without a risk tier.
• Refuse a AI Governance close: HR analytics governance lead does not have the page human review is real turns on in training-data provenance questionnaire.

Analysis required

• 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.
• Reproduce the incident row in training-data provenance questionnaire and say whether it ever touched production data.
• For this AI Governance Policy and Oversight file, read training-data provenance questionnaire against a business unit that already went live without a risk tier and write the one fact that would move human review is real for HR analytics governance lead.

Recommendation

Choose Human review is real / A rubber stamp on this AI Governance / Policy and Oversight packet (training-data provenance questionnaire after a business unit that already went live without a risk tier). If training-data provenance questionnaire cannot force a AI Governance label under Policy and Oversight, stop. If training-data provenance questionnaire after a business unit that already went live without a risk tier cannot support Human review is real versus A rubber stamp on this AI Governance Policy and Oversight close, HR analytics governance lead must leave the classification unresolved and name the missing control or provenance fact.