Assess whether a shadow system must be decommissioned this quarter (d584b5)

Situation

After a near-miss where an agent emailed a customer unreviewed, training-data provenance questionnaire is what HR analytics governance lead can touch in a bank preparing for a model-risk exam. AI Governance will live with Policy or governance breach versus Model defect on this Policy and Oversight file.

Decision

HR analytics governance lead in a bank preparing for a model-risk exam must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using training-data provenance questionnaire after a near-miss where an agent emailed a customer unreviewed.

Hypotheses to test

• HR analytics governance lead can defend Policy or governance breach from training-data provenance questionnaire after a near-miss where an agent emailed a customer unreviewed in a AI Governance challenge.
• HR analytics governance lead cannot defend Policy or governance breach from training-data provenance questionnaire; 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 training-data provenance questionnaire — reopen intake, do not close a shadow system must.
• Two facts in training-data provenance questionnaire after a near-miss where an agent emailed a customer unreviewed conflict for HR analytics governance lead; hold this Policy and Oversight file.

Analysis required

• 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 HR analytics governance lead can actually point to.
• Walk the model input/output path recorded in training-data provenance questionnaire and mark each hop approved, shadow, or unlogged.
• For this AI Governance Policy and Oversight file, read training-data provenance questionnaire against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move a shadow system must for HR analytics governance lead.

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 near-miss where an agent emailed a customer unreviewed). The follow-on Policy and Oversight action is what HR analytics governance lead does next: implement the option, assign an owner, and log the missing fact.