Assess whether explainability artifacts would survive an exam (5d795b)

Situation

Explainability artifacts would survive sits with exam-readiness coordinator because a near-miss where an agent emailed a customer unreviewed hit an insurer scoring claims with a third-party model. Evidence is hiring-tool adverse-impact tables; write the AI Governance Bias and Training Data option that extract can carry.

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 hiring-tool adverse-impact tables after a near-miss where an agent emailed a customer unreviewed.

Hypotheses to test

• Hiring-tool adverse-impact tables reads as Policy or governance breach once a near-miss where an agent emailed a customer unreviewed is lined up to the same AI Governance population.
• Hiring-tool adverse-impact tables is closer to Model defect after a near-miss where an agent emailed a customer unreviewed; Policy or governance breach would over-claim this Bias and Training Data extract.
• Dual failure is still live in hiring-tool adverse-impact tables for exam-readiness coordinator in an insurer scoring claims with a third-party model.
• Hiring-tool adverse-impact tables is missing the fact exam-readiness coordinator needs after a near-miss where an agent emailed a customer unreviewed; stop this AI Governance close.

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 hiring-tool adverse-impact tables 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 hiring-tool adverse-impact tables against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move explainability artifacts would survive 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 (hiring-tool adverse-impact tables 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 explainability artifacts would survive, then the evidence in hiring-tool adverse-impact tables, then the action for exam-readiness coordinator
• Hypothesis scorecard against hiring-tool adverse-impact tables: supported / rejected / untestable
• Owner and next date for exam-readiness coordinator in an insurer scoring claims with a third-party model
• What changes explainability artifacts would survive if a near-miss where an agent emailed a customer unreviewed is later withdrawn