Assess whether a shadow system must be decommissioned this quarter (f66b18)

Situation

After a board deck that called the system 'fully explainable', vendor model card with missing evaluation slices is what privacy counsel supporting AI inventory can touch in a university licensing an AI proctoring vendor. AI Governance will live with Policy or governance breach versus Model defect on this Bias and Training Data file.

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 vendor model card with missing evaluation slices after a board deck that called the system 'fully explainable'.

Hypotheses to test

• The population in vendor model card with missing evaluation slices is the one a board deck that called the system 'fully explainable' named, so Policy or governance breach follows for this Bias and Training Data file.
• The population in vendor model card with missing evaluation slices is adjacent only to a board deck that called the system 'fully explainable'; Model defect is the honest AI Governance call.
• A university licensing an AI proctoring vendor already contained a board deck that called the system 'fully explainable' before vendor model card with missing evaluation slices arrived; no new Bias and Training Data path.
• Provenance on vendor model card with missing evaluation slices after a board deck that called the system 'fully explainable' is broken; do not pick Policy or governance breach or Model defect yet.

Analysis required

• Check intended purpose and inventory status against EU AI Act / exam-readiness language after a board deck that called the system 'fully explainable'.
• 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 a board deck that called the system 'fully explainable'.
• For this AI Governance Bias and Training Data file, read vendor model card with missing evaluation slices against a board deck that called the system 'fully explainable' 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 (vendor model card with missing evaluation slices after a board deck that called the system 'fully explainable'). 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 vendor model card with missing evaluation slices, then the action for privacy counsel supporting AI inventory
• Hypothesis scorecard against vendor model card with missing evaluation slices: supported / rejected / untestable
• Missing page in vendor model card with missing evaluation slices after a board deck that called the system 'fully explainable', if any
• Regulatory or exam hook Bias and Training Data would cite