Assess whether the board has been accurately briefed (d25c66)

Situation

The board has been sits with EU AI Act implementation manager because a near-miss where an agent emailed a customer unreviewed 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 near-miss where an agent emailed a customer unreviewed.

Hypotheses to test

• EU AI Act implementation manager can defend Policy or governance breach from hiring-tool adverse-impact tables after a near-miss where an agent emailed a customer unreviewed in a AI Governance challenge.
• EU AI Act implementation manager cannot defend Policy or governance breach from hiring-tool adverse-impact tables; Model defect is what the extract actually supports after a near-miss where an agent emailed a customer unreviewed.
• A near-miss where an agent emailed a customer unreviewed never reached the population in hiring-tool adverse-impact tables — reopen intake, do not close the board has been.
• Two facts in hiring-tool adverse-impact tables after a near-miss where an agent emailed a customer unreviewed conflict for EU AI Act implementation manager; hold this Bias and Training Data file.

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 near-miss where an agent emailed a customer unreviewed and write the one fact that would move the board has been 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 near-miss where an agent emailed a customer unreviewed). The follow-on Bias and Training Data action is what EU AI Act implementation manager does next: implement the option, assign an owner, and log the missing fact.

Command returns

• Bottom-line AI Governance option on the board has been, then the evidence in hiring-tool adverse-impact tables, then the action for EU AI Act implementation manager
• Hypothesis scorecard against hiring-tool adverse-impact tables: supported / rejected / untestable
• Owner and next date for EU AI Act implementation manager in a pharma company using LLMs on trial documents
• What changes the board has been if a near-miss where an agent emailed a customer unreviewed is later withdrawn