Assess whether deprecation of a legacy scorecard creates a governance gap

Situation

A city using a hiring-screen algorithm cannot treat a new use case bolted onto a model approved for a narrower purpose as color commentary on incomplete model inventory versus actual deployments. Chief AI officer must close deprecation of a legacy from that extract under AI Governance / Policy and Oversight.

Decision

Chief AI officer in a city using a hiring-screen algorithm must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using incomplete model inventory versus actual deployments after a new use case bolted onto a model approved for a narrower purpose.

Hypotheses to test

• Incomplete model inventory versus actual deployments reads as Policy or governance breach once a new use case bolted onto a model approved for a narrower purpose is lined up to the same AI Governance population.
• Incomplete model inventory versus actual deployments is closer to Model defect after a new use case bolted onto a model approved for a narrower purpose; 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 chief AI officer in a city using a hiring-screen algorithm.
• Incomplete model inventory versus actual deployments is missing the fact chief AI officer needs after a new use case bolted onto a model approved for a narrower purpose; 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 a new use case bolted onto a model approved for a narrower purpose and write the one fact that would move deprecation of a legacy for chief AI 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 a new use case bolted onto a model approved for a narrower purpose). The follow-on Policy and Oversight action is what chief AI officer does next: implement the option, assign an owner, and log the missing 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 chief AI officer
• Hypothesis scorecard against incomplete model inventory versus actual deployments: supported / rejected / untestable
• Owner and next date for chief AI officer in a city using a hiring-screen algorithm
• What changes deprecation of a legacy if a new use case bolted onto a model approved for a narrower purpose is later withdrawn