Assess whether explainability artifacts would survive an exam (0ccc6b)

Situation

After an internal audit finding that human review logs are empty, shadow-IT chatbot connected to customer PII is what chief AI officer can touch in a city using a hiring-screen algorithm. AI Governance will live with Policy or governance breach versus Model defect on this Policy and Oversight file.

Decision

Chief AI officer in a city using a hiring-screen algorithm must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using shadow-IT chatbot connected to customer PII after an internal audit finding that human review logs are empty.

Hypotheses to test

• An internal audit finding that human review logs are empty is noise around an already-controlled Policy and Oversight process in a city using a hiring-screen algorithm, given shadow-IT chatbot connected to customer PII.
• An internal audit finding that human review logs are empty is the event in shadow-IT chatbot connected to customer PII that forces Policy or governance breach for chief AI officer under AI Governance.
• Shadow-IT chatbot connected to customer PII shows a one-file miss after an internal audit finding that human review logs are empty, not a Policy and Oversight program failure.
• Shadow-IT chatbot connected to customer PII cannot decide explainability artifacts would survive yet after an internal audit finding that human review logs are empty; hold is the only AI Governance close a city using a hiring-screen algorithm can defend.

Analysis required

• Verify data provenance and the human-oversight gate chief AI officer can actually point to.
• Walk the model input/output path recorded in shadow-IT chatbot connected to customer PII and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate chief AI officer can actually point to.
• For this AI Governance Policy and Oversight file, read shadow-IT chatbot connected to customer PII against an internal audit finding that human review logs are empty and write the one fact that would move explainability artifacts would survive for chief AI officer.

Recommendation

Chief AI officer should take Model defect on explainability artifacts would survive unless shadow-IT chatbot connected to customer PII after an internal audit finding that human review logs are empty already proves Policy or governance breach for this Policy and Oversight packet in a city using a hiring-screen algorithm. Keep Dual failure live only while shadow-IT chatbot connected to customer PII is missing the page explainability artifacts would survive turns on. The working test on shadow-IT chatbot connected to customer PII is whether Verify data provenance and the human-oversight gate chief AI officer can actually point to.

Command returns

• Bottom-line AI Governance option on explainability artifacts would survive, then the evidence in shadow-IT chatbot connected to customer PII, then the action for chief AI officer
• Hypothesis scorecard against shadow-IT chatbot connected to customer PII: supported / rejected / untestable
• Regulatory or exam hook Policy and Oversight would cite
• Policy and Oversight finding in shadow-IT chatbot connected to customer PII that a second reviewer can re-perform