Assess whether the board has been accurately briefed (669d00)

Situation

The board has been sits with chief AI officer because a denied applicant requesting the principal reasons hit a city using a hiring-screen algorithm. Evidence is training-data provenance questionnaire; write the AI Governance Policy and Oversight option that extract can carry.

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 training-data provenance questionnaire after a denied applicant requesting the principal reasons.

Hypotheses to test

• Chief AI officer can defend Policy or governance breach from training-data provenance questionnaire after a denied applicant requesting the principal reasons in a AI Governance challenge.
• Chief AI officer cannot defend Policy or governance breach from training-data provenance questionnaire; Model defect is what the extract actually supports after a denied applicant requesting the principal reasons.
• A denied applicant requesting the principal reasons never reached the population in training-data provenance questionnaire — reopen intake, do not close the board has been.
• Two facts in training-data provenance questionnaire after a denied applicant requesting the principal reasons conflict for chief AI officer; hold this Policy and Oversight file.

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 training-data provenance questionnaire 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 training-data provenance questionnaire against a denied applicant requesting the principal reasons 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 (training-data provenance questionnaire after a denied applicant requesting the principal reasons). If training-data provenance questionnaire cannot force a AI Governance label under Policy and Oversight, stop. Do not invent pages a city using a hiring-screen algorithm does not have.

Command returns

• Bottom-line AI Governance option on the board has been, then the evidence in training-data provenance questionnaire, then the action for chief AI officer
• Hypothesis scorecard against training-data provenance questionnaire: supported / rejected / untestable
• Missing page in training-data provenance questionnaire after a denied applicant requesting the principal reasons, if any
• Regulatory or exam hook Policy and Oversight would cite