Assess whether a shadow system must be decommissioned this quarter (78af9e)

Situation

The desk packet is training-data provenance questionnaire after a denied applicant requesting the principal reasons. Vendor-diligence reviewer for AI tools in a bank preparing for a model-risk exam has to name Policy or governance breach or Model defect for this AI Governance Bias and Training Data file.

Decision

Vendor-diligence reviewer for AI tools 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 denied applicant requesting the principal reasons.

Hypotheses to test

• A denied applicant requesting the principal reasons is noise around an already-controlled Bias and Training Data process in a bank preparing for a model-risk exam, given training-data provenance questionnaire.
• A denied applicant requesting the principal reasons is the event in training-data provenance questionnaire that forces Policy or governance breach for vendor-diligence reviewer for AI tools under AI Governance.
• Training-data provenance questionnaire shows a one-file miss after a denied applicant requesting the principal reasons, not a Bias and Training Data program failure.
• Training-data provenance questionnaire cannot decide a shadow system must yet after a denied applicant requesting the principal reasons; hold is the only AI Governance close a bank preparing for a model-risk exam can defend.

Analysis required

• Verify data provenance and the human-oversight gate vendor-diligence reviewer for AI tools 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 vendor-diligence reviewer for AI tools can actually point to.
• For this AI Governance Bias and Training Data file, read training-data provenance questionnaire against a denied applicant requesting the principal reasons and write the one fact that would move a shadow system must for vendor-diligence reviewer for AI tools.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (training-data provenance questionnaire after a denied applicant requesting the principal reasons). The follow-on Bias and Training Data action is what vendor-diligence reviewer for AI tools does next: implement the option, assign an owner, and log the missing fact.