Assess whether a shadow system must be decommissioned this quarter (d08ba9)
August 31, 2026 · SmartSolo
Situation
Incident log of hallucinated citations in a legal memo arrived with a board deck that called the system 'fully explainable' for model-risk officer. That is a AI Governance Bias and Training Data decision on a shadow system must 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 incident log of hallucinated citations in a legal memo after a board deck that called the system 'fully explainable'.
Hypotheses to test
- Authorize Policy or governance breach now; incident log of hallucinated citations in a legal memo already has the discriminator after a board deck that called the system 'fully explainable'.
- Keep Model defect in force until incident log of hallucinated citations in a legal memo is completed after a board deck that called the system 'fully explainable' for model-risk officer.
- Treat incident log of hallucinated citations in a legal memo as Dual failure because both readings appear after a board deck that called the system 'fully explainable'.
- Refuse a AI Governance close: model-risk officer does not have the page a shadow system must turns on in incident log of hallucinated citations in a legal memo.
Analysis required
- Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in incident log of hallucinated citations in a legal memo.
- Reproduce the incident row in incident log of hallucinated citations in a legal memo and say whether it ever touched production data.
- Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in incident log of hallucinated citations in a legal memo.
- For this AI Governance Bias and Training Data file, read incident log of hallucinated citations in a legal memo against a board deck that called the system 'fully explainable' and write the one fact that would move a shadow system must 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 (incident log of hallucinated citations in a legal memo after a board deck that called the system 'fully explainable'). 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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