Assess whether a shadow system must be decommissioned this quarter (081922)

Situation

A university licensing an AI proctoring vendor cannot treat an internal audit finding that human review logs are empty as color commentary on incomplete model inventory versus actual deployments. Privacy counsel supporting AI inventory must close a shadow system must from that extract under AI Governance / Bias and Training Data.

Decision

Privacy counsel supporting AI inventory 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 internal audit finding that human review logs are empty.

Hypotheses to test

• Incomplete model inventory versus actual deployments reads as Policy or governance breach once an internal audit finding that human review logs are empty is lined up to the same AI Governance population.
• Incomplete model inventory versus actual deployments is closer to Model defect after an internal audit finding that human review logs are empty; Policy or governance breach would over-claim this Bias and Training Data extract.
• Dual failure is still live in incomplete model inventory versus actual deployments for privacy counsel supporting AI inventory in a university licensing an AI proctoring vendor.
• Incomplete model inventory versus actual deployments is missing the fact privacy counsel supporting AI inventory needs after an internal audit finding that human review logs are empty; stop this AI Governance close.

Analysis required

• Map the approved-use case to the system a shadow system must would bind.
• Check intended purpose and inventory status against EU AI Act / exam-readiness language after an internal audit finding that human review logs are empty.
• Map the approved-use case to the system a shadow system must would bind.
• For this AI Governance Bias and Training Data file, read incomplete model inventory versus actual deployments against an internal audit finding that human review logs are empty and write the one fact that would move a shadow system must for privacy counsel supporting AI inventory.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (incomplete model inventory versus actual deployments after an internal audit finding that human review logs are empty). The follow-on Bias and Training Data action is what privacy counsel supporting AI inventory does next: implement the option, assign an owner, and log the missing fact.

Command returns

• Bottom-line AI Governance option on a shadow system must, then the evidence in incomplete model inventory versus actual deployments, then the action for privacy counsel supporting AI inventory
• Hypothesis scorecard against incomplete model inventory versus actual deployments: supported / rejected / untestable
• Bias and Training Data finding in incomplete model inventory versus actual deployments that a second reviewer can re-perform
• Missing page in incomplete model inventory versus actual deployments after an internal audit finding that human review logs are empty, if any