Assess whether a shadow system must be decommissioned this quarter (d7572b)

Situation

Training-data provenance questionnaire arrived with a business unit that already went live without a risk tier for model-risk officer. That is a AI Governance Policy and Oversight decision on a shadow system must in a university licensing an AI proctoring vendor.

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 training-data provenance questionnaire after a business unit that already went live without a risk tier.

Hypotheses to test

• Training-data provenance questionnaire reads as Policy or governance breach once a business unit that already went live without a risk tier is lined up to the same AI Governance population.
• Training-data provenance questionnaire is closer to Model defect after a business unit that already went live without a risk tier; Policy or governance breach would over-claim this Policy and Oversight extract.
• Dual failure is still live in training-data provenance questionnaire for model-risk officer in a university licensing an AI proctoring vendor.
• Training-data provenance questionnaire is missing the fact model-risk officer needs after a business unit that already went live without a risk tier; stop this AI Governance close.

Analysis required

• Walk the model input/output path recorded in training-data provenance questionnaire and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate model-risk officer can actually point to.
• Walk the model input/output path recorded in training-data provenance questionnaire and mark each hop approved, shadow, or unlogged.
• 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 a shadow system must 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 (training-data provenance questionnaire after a business unit that already went live without a risk tier). Lead with the AI Governance option training-data provenance questionnaire can support after a business unit that already went live without a risk tier, then the two facts that force it, then the Monday action for model-risk officer in a university licensing an AI proctoring vendor.