Assess whether a shadow system must be decommissioned this quarter (c42f6a)

Situation

Generative-AI acceptable-use policy draft arrived with a near-miss where an agent emailed a customer unreviewed for model-risk officer. That is a AI Governance Policy and Oversight decision on a shadow system must in a university licensing an AI proctoring vendor.

Decision

Model-risk officer in a university licensing an AI proctoring vendor must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using generative-AI acceptable-use policy draft after a near-miss where an agent emailed a customer unreviewed.

Hypotheses to test

• A near-miss where an agent emailed a customer unreviewed is noise around an already-controlled Policy and Oversight process in a university licensing an AI proctoring vendor, given generative-AI acceptable-use policy draft.
• A near-miss where an agent emailed a customer unreviewed is the event in generative-AI acceptable-use policy draft that forces Policy or governance breach for model-risk officer under AI Governance.
• Generative-AI acceptable-use policy draft shows a one-file miss after a near-miss where an agent emailed a customer unreviewed, not a Policy and Oversight program failure.
• Generative-AI acceptable-use policy draft cannot decide a shadow system must yet after a near-miss where an agent emailed a customer unreviewed; hold is the only AI Governance close a university licensing an AI proctoring vendor can defend.

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 generative-AI acceptable-use policy draft 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 generative-AI acceptable-use policy draft against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move a shadow system must for model-risk officer.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Policy and Oversight packet (generative-AI acceptable-use policy draft after a near-miss where an agent emailed a customer unreviewed). If generative-AI acceptable-use policy draft cannot force a AI Governance label under Policy and Oversight, stop. If generative-AI acceptable-use policy draft after a near-miss where an agent emailed a customer unreviewed cannot support Policy or governance breach versus 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 shadow system must, then the evidence in generative-AI acceptable-use policy draft, then the action for model-risk officer
• Hypothesis scorecard against generative-AI acceptable-use policy draft: supported / rejected / untestable
• What changes a shadow system must if a near-miss where an agent emailed a customer unreviewed is later withdrawn
• Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others