Assess whether the board has been accurately briefed (de9849)

SITUATION In a city using a hiring-screen algorithm, vendor model card with missing evaluation slices is the evidence after a near-miss where an agent emailed a customer unreviewed. Chief AI officer has to pick Policy or governance breach or Model defect for this AI Governance Policy and Oversight close using vendor model card with missing evaluation slices.

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 vendor model card with missing evaluation slices after a near-miss where an agent emailed a customer unreviewed.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; vendor model card with missing evaluation slices already has the discriminator after a near-miss where an agent emailed a customer unreviewed. 2. Keep 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 chief AI officer. 3. Treat vendor model card with missing evaluation slices as Dual failure because both readings appear after a near-miss where an agent emailed a customer unreviewed. 4. Refuse a AI Governance close: chief AI officer does not have the decision the board has been turns on in vendor model card with missing evaluation slices.

ANALYSIS REQUIRED 1. Walk the model input/output path recorded in vendor model card with missing evaluation slices and mark each hop approved, shadow, or unlogged. 2. Verify data provenance and the human-oversight gate chief AI officer can actually point to. 3. Walk the model input/output path recorded in vendor model card with missing evaluation slices and mark each hop approved, shadow, or unlogged. 4. 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 the board has been 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 (vendor model card with missing evaluation slices after a near-miss where an agent emailed a customer unreviewed). The follow-on Policy and Oversight action is what chief AI officer does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance option on the board has been, then the evidence in vendor model card with missing evaluation slices, then the action for chief AI officer - Hypothesis scorecard against vendor model card with missing evaluation slices: supported / rejected / untestable - Regulatory or exam hook Policy and Oversight would cite - Policy and Oversight finding in vendor model card with missing evaluation slices that a second reviewer can re-perform