Assess whether the board has been accurately briefed after a business unit
August 31, 2026 · SmartSolo
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.
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