Assess whether the board has been accurately briefed (684a3e)

Situation

Bias and Training Data work in an insurer scoring claims with a third-party model now turns on the board has been because a near-miss where an agent emailed a customer unreviewed put post-deployment drift report the owner never signed in play. Exam-readiness coordinator should say what post-deployment drift report the owner never signed proves.

Decision

Exam-readiness coordinator in an insurer scoring claims with a third-party model must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using post-deployment drift report the owner never signed after a near-miss where an agent emailed a customer unreviewed.

Hypotheses to test

• Authorize Policy or governance breach now; post-deployment drift report the owner never signed already has the discriminator after a near-miss where an agent emailed a customer unreviewed.
• Keep Model defect in force until post-deployment drift report the owner never signed is completed after a near-miss where an agent emailed a customer unreviewed for exam-readiness coordinator.
• Treat post-deployment drift report the owner never signed as Dual failure because both readings appear after a near-miss where an agent emailed a customer unreviewed.
• Refuse a AI Governance close: exam-readiness coordinator does not have the page the board has been turns on in post-deployment drift report the owner never signed.

Analysis required

• Verify data provenance and the human-oversight gate exam-readiness coordinator can actually point to.
• Walk the model input/output path recorded in post-deployment drift report the owner never signed and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate exam-readiness coordinator can actually point to.
• For this AI Governance Bias and Training Data file, read post-deployment drift report the owner never signed against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move the board has been for exam-readiness coordinator.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (post-deployment drift report the owner never signed after a near-miss where an agent emailed a customer unreviewed). The follow-on Bias and Training Data action is what exam-readiness coordinator 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 post-deployment drift report the owner never signed, then the action for exam-readiness coordinator
• Hypothesis scorecard against post-deployment drift report the owner never signed: supported / rejected / untestable
• Regulatory or exam hook Bias and Training Data would cite
• Bias and Training Data finding in post-deployment drift report the owner never signed that a second reviewer can re-perform