Assess whether explainability artifacts would survive an exam (98f797)

Situation

A near-miss where an agent emailed a customer unreviewed put generative-AI acceptable-use policy draft in front of chief AI officer in a city using a hiring-screen algorithm. This AI Governance / Policy and Oversight close is explainability artifacts would survive from generative-AI acceptable-use policy draft, and the live options are Policy or governance breach, Model defect, Dual failure.

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 generative-AI acceptable-use policy draft after a near-miss where an agent emailed a customer unreviewed.

Hypotheses to test

• Chief AI officer can defend Policy or governance breach from generative-AI acceptable-use policy draft after a near-miss where an agent emailed a customer unreviewed in a AI Governance challenge.
• Chief AI officer cannot defend Policy or governance breach from generative-AI acceptable-use policy draft; Model defect is what the extract actually supports after a near-miss where an agent emailed a customer unreviewed.
• A near-miss where an agent emailed a customer unreviewed never reached the population in generative-AI acceptable-use policy draft — reopen intake, do not close explainability artifacts would survive.
• Two facts in generative-AI acceptable-use policy draft after a near-miss where an agent emailed a customer unreviewed conflict for chief AI officer; hold this Policy and Oversight file.

Analysis required

• 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 chief AI 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.
• 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 explainability artifacts would survive for chief AI 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). Lead with the AI Governance option generative-AI acceptable-use policy draft can support after a near-miss where an agent emailed a customer unreviewed, then the two facts that force it, then the Monday action for chief AI officer in a city using a hiring-screen algorithm.