Assess whether a shadow system must be decommissioned this quarter (721713)

Situation

In a university licensing an AI proctoring vendor, hiring-tool adverse-impact tables is the evidence after a board deck that called the system 'fully explainable'. Privacy counsel supporting AI inventory has to pick Policy or governance breach or Model defect for this AI Governance Bias and Training Data close using hiring-tool adverse-impact tables.

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 hiring-tool adverse-impact tables after a board deck that called the system 'fully explainable'.

Hypotheses to test

• The population in hiring-tool adverse-impact tables 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 hiring-tool adverse-impact tables 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 hiring-tool adverse-impact tables arrived; no new Bias and Training Data path.
• Provenance on hiring-tool adverse-impact tables 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 hiring-tool adverse-impact tables 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 (hiring-tool adverse-impact tables 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.