Assess whether the board has been accurately briefed after a business unit

Situation

In a hospital deploying a sepsis-risk model, training-data provenance questionnaire is the evidence after a business unit that already went live without a risk tier. Model-risk officer has to pick Policy or governance breach or Model defect for this AI Governance Bias and Training Data close using training-data provenance questionnaire.

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 a business unit that already went live without a risk tier.

Hypotheses to test

• Authorize Policy or governance breach now; training-data provenance questionnaire already has the discriminator after a business unit that already went live without a risk tier.
• Keep Model defect in force until training-data provenance questionnaire is completed after a business unit that already went live without a risk tier for model-risk officer.
• Treat training-data provenance questionnaire as Dual failure because both readings appear after a business unit that already went live without a risk tier.
• Refuse a AI Governance close: model-risk officer does not have the page the board has been turns on in training-data provenance questionnaire.

Analysis required

• Map the approved-use case to the system the board has been would bind.
• Check intended purpose and inventory status against EU AI Act / exam-readiness language after a business unit that already went live without a risk tier.
• Map the approved-use case to the system the board has been would bind.
• For this AI Governance Bias and Training Data file, read training-data provenance questionnaire against a business unit that already went live without a risk tier and write the one fact that would move the board has been 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 a business unit that already went live without a risk tier). The follow-on Bias and Training Data action is what model-risk officer 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 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