Assess whether training data has a lawful basis and documented lineage

SITUATION Explainability pack for a denied-credit decision arrived with a journalist asking if the hiring tool is biased for exam-readiness coordinator. That is a AI Governance Policy and Oversight decision on training data has a in a hospital deploying a sepsis-risk model.

DECISION Exam-readiness coordinator in a hospital deploying a sepsis-risk model 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 journalist asking if the hiring tool is biased.

HYPOTHESES TO TEST 1. The population in explainability pack for a denied-credit decision is the one a journalist asking if the hiring tool is biased named, so Policy or governance breach follows for this Policy and Oversight file. 2. The population in explainability pack for a denied-credit decision is adjacent only to a journalist asking if the hiring tool is biased; Model defect is the honest AI Governance call. 3. A hospital deploying a sepsis-risk model already contained a journalist asking if the hiring tool is biased before explainability pack for a denied-credit decision arrived; no new Policy and Oversight path. 4. Provenance on explainability pack for a denied-credit decision after a journalist asking if the hiring tool is biased is broken; do not pick Policy or governance breach or Model defect yet.

ANALYSIS REQUIRED 1. Check intended purpose and inventory status against EU AI Act / exam-readiness language after a journalist asking if the hiring tool is biased. 2. Map the approved-use case to the system training data has a would bind. 3. Check intended purpose and inventory status against EU AI Act / exam-readiness language after a journalist asking if the hiring tool is biased. 4. For this AI Governance Policy and Oversight file, read explainability pack for a denied-credit decision against a journalist asking if the hiring tool is biased and write the one fact that would move training data has a for exam-readiness coordinator.

RECOMMENDATION Release Policy or governance breach for this AI Governance Policy and Oversight file only when explainability pack for a denied-credit decision after a journalist asking if the hiring tool is biased names the fact training data has a requires. Exam-readiness coordinator in a hospital deploying a sepsis-risk model should withhold Policy or governance breach while that fact is still a hole in explainability pack for a denied-credit decision.

COMMAND RETURNS - Bottom-line AI Governance option on training data has a, then the evidence in explainability pack for a denied-credit decision, then the action for exam-readiness coordinator - Hypothesis scorecard against explainability pack for a denied-credit decision: supported / rejected / untestable - What changes training data has a if a journalist asking if the hiring tool is biased is later withdrawn - Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others