Assess whether a shadow system must be decommissioned this quarter (945ab5)

Situation

Explainability pack for a denied-credit decision arrived with a DPA inquiry about training on European user data for EU AI Act implementation manager. That is a AI Governance Bias and Training Data decision on a shadow system must in a pharma company using LLMs on trial documents.

Decision

EU AI Act implementation manager in a pharma company using LLMs on trial documents must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using explainability pack for a denied-credit decision after a DPA inquiry about training on European user data.

Hypotheses to test

• Explainability pack for a denied-credit decision reads as Policy or governance breach once a DPA inquiry about training on European user data is lined up to the same AI Governance population.
• Explainability pack for a denied-credit decision is closer to Model defect after a DPA inquiry about training on European user data; Policy or governance breach would over-claim this Bias and Training Data extract.
• Dual failure is still live in explainability pack for a denied-credit decision for EU AI Act implementation manager in a pharma company using LLMs on trial documents.
• Explainability pack for a denied-credit decision is missing the fact EU AI Act implementation manager needs after a DPA inquiry about training on European user data; stop this AI Governance close.

Analysis required

• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in explainability pack for a denied-credit decision.
• Reproduce the incident row in explainability pack for a denied-credit decision and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in explainability pack for a denied-credit decision.
• For this AI Governance Bias and Training Data file, read explainability pack for a denied-credit decision against a DPA inquiry about training on European user data and write the one fact that would move a shadow system must for EU AI Act implementation manager.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (explainability pack for a denied-credit decision after a DPA inquiry about training on European user data). If explainability pack for a denied-credit decision cannot force a AI Governance label under Bias and Training Data, stop. If explainability pack for a denied-credit decision after a DPA inquiry about training on European user data cannot support Policy or governance breach versus Model defect on this AI Governance Bias and Training Data close, EU AI Act implementation manager must leave the classification unresolved and name the missing control or provenance fact.