Assess whether a shadow system must be decommissioned this quarter (dd24f4)

Situation

A shadow system must sits with EU AI Act implementation manager because a DPA inquiry about training on European user data hit a pharma company using LLMs on trial documents. Evidence is hiring-tool adverse-impact tables; write the AI Governance Bias and Training Data option that extract can carry.

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 hiring-tool adverse-impact tables after a DPA inquiry about training on European user data.

Hypotheses to test

• Authorize Policy or governance breach now; hiring-tool adverse-impact tables already has the discriminator after a DPA inquiry about training on European user data.
• Keep Model defect in force until hiring-tool adverse-impact tables is completed after a DPA inquiry about training on European user data for EU AI Act implementation manager.
• Treat hiring-tool adverse-impact tables as Dual failure because both readings appear after a DPA inquiry about training on European user data.
• Refuse a AI Governance close: EU AI Act implementation manager does not have the page a shadow system must turns on in hiring-tool adverse-impact tables.

Analysis required

• Verify data provenance and the human-oversight gate EU AI Act implementation manager can actually point to.
• Walk the model input/output path recorded in hiring-tool adverse-impact tables and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate EU AI Act implementation manager can actually point to.
• For this AI Governance Bias and Training Data file, read hiring-tool adverse-impact tables 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 (hiring-tool adverse-impact tables after a DPA inquiry about training on European user data). If hiring-tool adverse-impact tables cannot force a AI Governance label under Bias and Training Data, stop. If hiring-tool adverse-impact tables 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.