Assess whether deprecation of a legacy scorecard creates a governance gap

Situation

An examiner request for the current model inventory put incomplete model inventory versus actual deployments in front of model-risk officer in a university licensing an AI proctoring vendor. This AI Governance / Policy and Oversight close is deprecation of a legacy from incomplete model inventory versus actual deployments, 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 incomplete model inventory versus actual deployments after an examiner request for the current model inventory.

Hypotheses to test

• Incomplete model inventory versus actual deployments reads as Policy or governance breach once an examiner request for the current model inventory is lined up to the same AI Governance population.
• Incomplete model inventory versus actual deployments is closer to Model defect after an examiner request for the current model inventory; Policy or governance breach would over-claim this Policy and Oversight extract.
• Dual failure is still live in incomplete model inventory versus actual deployments for model-risk officer in a university licensing an AI proctoring vendor.
• Incomplete model inventory versus actual deployments is missing the fact model-risk officer needs after an examiner request for the current model inventory; stop this AI Governance close.

Analysis required

• Reproduce the incident row in incomplete model inventory versus actual deployments and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in incomplete model inventory versus actual deployments.
• Reproduce the incident row in incomplete model inventory versus actual deployments and say whether it ever touched production data.
• For this AI Governance Policy and Oversight file, read incomplete model inventory versus actual deployments against an examiner request for the current model inventory and write the one fact that would move deprecation of a legacy 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 (incomplete model inventory versus actual deployments after an examiner request for the current model inventory). If incomplete model inventory versus actual deployments cannot force a AI Governance label under Policy and Oversight, stop. If incomplete model inventory versus actual deployments after an examiner request for the current model inventory cannot support Policy or governance breach versus Model defect on this AI Governance Policy and Oversight close, model-risk officer must leave the classification unresolved and name the missing control or provenance fact.

Command returns

• Bottom-line AI Governance option on deprecation of a legacy, then the evidence in incomplete model inventory versus actual deployments, then the action for model-risk officer
• Hypothesis scorecard against incomplete model inventory versus actual deployments: supported / rejected / untestable
• What changes deprecation of a legacy if an examiner request for the current model inventory is later withdrawn
• Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others