Assess whether a generative-AI incident is a policy breach or a model defect

Situation

A generative-AI incident is sits with privacy counsel supporting AI inventory because an internal audit finding that human review logs are empty hit a university licensing an AI proctoring vendor. Evidence is EU AI Act high-risk classification worksheet; write the AI Governance Bias and Training Data option that extract can carry.

Decision

Privacy counsel supporting AI inventory in a university licensing an AI proctoring vendor must choose A generative-AI incident is a policy breach / A model defect using EU AI Act high-risk classification worksheet after an internal audit finding that human review logs are empty.

Hypotheses to test

• The population in EU AI Act high-risk classification worksheet is the one an internal audit finding that human review logs are empty named, so A generative-AI incident is a policy breach follows for this Bias and Training Data file.
• The population in EU AI Act high-risk classification worksheet is adjacent only to an internal audit finding that human review logs are empty; A model defect is the honest AI Governance call.
• A university licensing an AI proctoring vendor already contained an internal audit finding that human review logs are empty before EU AI Act high-risk classification worksheet arrived; no new Bias and Training Data path.
• Provenance on EU AI Act high-risk classification worksheet after an internal audit finding that human review logs are empty is broken; do not pick A generative-AI incident is a policy breach or A model defect yet.

Analysis required

• 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 generative-AI incident is 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.
• For this AI Governance Bias and Training Data file, read EU AI Act high-risk classification worksheet against an internal audit finding that human review logs are empty and write the one fact that would move a generative-AI incident is for privacy counsel supporting AI inventory.

Recommendation

Choose A generative-AI incident is a policy breach / A model defect on this AI Governance / Bias and Training Data packet (EU AI Act high-risk classification worksheet 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 generative-AI incident is, then the evidence in EU AI Act high-risk classification worksheet, then the action for privacy counsel supporting AI inventory
• Hypothesis scorecard against EU AI Act high-risk classification worksheet: supported / rejected / untestable
• Bias and Training Data finding in EU AI Act high-risk classification worksheet that a second reviewer can re-perform
• Missing page in EU AI Act high-risk classification worksheet after an internal audit finding that human review logs are empty, if any