Assess whether the vendor can be used in a regulated process (ee619b)

SITUATION Training-data provenance questionnaire arrived with an examiner request for the current model inventory for model-risk officer. That is a AI Governance Bias and Training Data decision on the vendor can be in a hospital deploying a sepsis-risk model.

DECISION Model-risk officer in a hospital deploying a sepsis-risk model must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using training-data provenance questionnaire after an examiner request for the current model inventory.

HYPOTHESES TO TEST 1. Training-data provenance questionnaire reads as Policy or governance breach once an examiner request for the current model inventory is lined up to the same AI Governance population. 2. Training-data provenance questionnaire is closer to Model defect after an examiner request for the current model inventory; Policy or governance breach would over-claim this Bias and Training Data extract. 3. Dual failure is still live in training-data provenance questionnaire for model-risk officer in a hospital deploying a sepsis-risk model. 4. Training-data provenance questionnaire is missing the fact model-risk officer needs after an examiner request for the current model inventory; stop this AI Governance close.

ANALYSIS REQUIRED 1. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in training-data provenance questionnaire. 2. Reproduce the incident row in training-data provenance questionnaire and say whether it ever touched production data. 3. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in training-data provenance questionnaire. 4. For this AI Governance Bias and Training Data file, read training-data provenance questionnaire against an examiner request for the current model inventory and write the one fact that would move the vendor can be for model-risk officer.

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 an examiner request for the current model inventory). Lead with the AI Governance option training-data provenance questionnaire can support after an examiner request for the current model inventory, then the two facts that force it, then the Monday action for model-risk officer in a hospital deploying a sepsis-risk model.

COMMAND RETURNS - Bottom-line AI Governance option on the vendor can be, then the evidence in training-data provenance questionnaire, then the action for model-risk officer - Hypothesis scorecard against training-data provenance questionnaire: supported / rejected / untestable - Regulatory or exam hook Bias and Training Data would cite - Bias and Training Data finding in training-data provenance questionnaire that a second reviewer can re-perform