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

Situation

A generative-AI incident is sits with model-risk officer because a near-miss where an agent emailed a customer unreviewed hit a university licensing an AI proctoring vendor. Evidence is vendor model card with missing evaluation slices; write the AI Governance Policy and Oversight option that extract can carry.

Decision

Model-risk officer in a university licensing an AI proctoring vendor must choose A generative-AI incident is a policy breach / A model defect using vendor model card with missing evaluation slices after a near-miss where an agent emailed a customer unreviewed.

Hypotheses to test

• Authorize A generative-AI incident is a policy breach now; vendor model card with missing evaluation slices already has the discriminator after a near-miss where an agent emailed a customer unreviewed.
• Keep A model defect in force until vendor model card with missing evaluation slices is completed after a near-miss where an agent emailed a customer unreviewed for model-risk officer.
• Treat vendor model card with missing evaluation slices as A generative-AI incident is a policy breach because both readings appear after a near-miss where an agent emailed a customer unreviewed.
• Refuse a AI Governance close: model-risk officer does not have the page a generative-AI incident is turns on in vendor model card with missing evaluation slices.

Analysis required

• Verify data provenance and the human-oversight gate model-risk officer can actually point to.
• Walk the model input/output path recorded in vendor model card with missing evaluation slices and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate model-risk officer can actually point to.
• For this AI Governance Policy and Oversight file, read vendor model card with missing evaluation slices against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move a generative-AI incident is for model-risk officer.

Recommendation

Choose A generative-AI incident is a policy breach / A model defect on this AI Governance / Policy and Oversight packet (vendor model card with missing evaluation slices after a near-miss where an agent emailed a customer unreviewed). If vendor model card with missing evaluation slices cannot force a AI Governance label under Policy and Oversight, stop. If vendor model card with missing evaluation slices after a near-miss where an agent emailed a customer unreviewed cannot support A generative-AI incident is a policy breach versus A model defect on this AI Governance Policy and Oversight close, model-risk officer must leave the classification unresolved and name the missing control or provenance fact.

Command returns

• Bottom-line AI Governance option on a generative-AI incident is, then the evidence in vendor model card with missing evaluation slices, then the action for model-risk officer
• Hypothesis scorecard against vendor model card with missing evaluation slices: supported / rejected / untestable
• Owner and next date for model-risk officer in a university licensing an AI proctoring vendor
• What changes a generative-AI incident is if a near-miss where an agent emailed a customer unreviewed is later withdrawn