Assess whether the system is high-risk under the EU AI Act (0428af)

Situation

After a customer complaint that a chatbot invented a refund policy, vendor model card with missing evaluation slices is what model-risk officer can touch in a hospital deploying a sepsis-risk model. AI Governance will live with Policy or governance breach versus Model defect on this Bias and Training Data file.

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 vendor model card with missing evaluation slices after a customer complaint that a chatbot invented a refund policy.

Hypotheses to test

• Vendor model card with missing evaluation slices reads as Policy or governance breach once a customer complaint that a chatbot invented a refund policy is lined up to the same AI Governance population.
• Vendor model card with missing evaluation slices is closer to Model defect after a customer complaint that a chatbot invented a refund policy; Policy or governance breach would over-claim this Bias and Training Data extract.
• Dual failure is still live in vendor model card with missing evaluation slices for model-risk officer in a hospital deploying a sepsis-risk model.
• Vendor model card with missing evaluation slices is missing the fact model-risk officer needs after a customer complaint that a chatbot invented a refund policy; stop this AI Governance close.

Analysis required

• Reproduce the incident row in vendor model card with missing evaluation slices and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in vendor model card with missing evaluation slices.
• Reproduce the incident row in vendor model card with missing evaluation slices and say whether it ever touched production data.
• For this AI Governance Bias and Training Data file, read vendor model card with missing evaluation slices against a customer complaint that a chatbot invented a refund policy and write the one fact that would move the system is high-risk 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 (vendor model card with missing evaluation slices after a customer complaint that a chatbot invented a refund policy). 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.