Assess whether training data has a lawful basis and documented lineage

SITUATION Exam-readiness coordinator in a hospital deploying a sepsis-risk model has one working extract — training-data provenance questionnaire — after a near-miss where an agent emailed a customer unreviewed. If training-data provenance questionnaire cannot support training data has a, the only defensible AI Governance output is hold.

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 training-data provenance questionnaire after a near-miss where an agent emailed a customer unreviewed.

HYPOTHESES TO TEST 1. The population in training-data provenance questionnaire is the one a near-miss where an agent emailed a customer unreviewed named, so Policy or governance breach follows for this Policy and Oversight file. 2. The population in training-data provenance questionnaire is adjacent only to a near-miss where an agent emailed a customer unreviewed; Model defect is the honest AI Governance call. 3. A hospital deploying a sepsis-risk model already contained a near-miss where an agent emailed a customer unreviewed before training-data provenance questionnaire arrived; no new Policy and Oversight path. 4. Provenance on training-data provenance questionnaire after a near-miss where an agent emailed a customer unreviewed is broken; do not pick Policy or governance breach or Model defect yet.

ANALYSIS REQUIRED 1. Walk the model input/output path recorded in training-data provenance questionnaire and mark each hop approved, shadow, or unlogged. 2. Verify data provenance and the human-oversight gate exam-readiness coordinator can actually point to. 3. Walk the model input/output path recorded in training-data provenance questionnaire and mark each hop approved, shadow, or unlogged. 4. For this AI Governance Policy and Oversight file, read training-data provenance questionnaire against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move training data has a for exam-readiness coordinator.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Policy and Oversight packet (training-data provenance questionnaire after a near-miss where an agent emailed a customer unreviewed). If training-data provenance questionnaire cannot force a AI Governance label under Policy and Oversight, stop. Do not invent missing evidence a hospital deploying a sepsis-risk model does not have.

COMMAND RETURNS - Bottom-line AI Governance option on training data has a, then the evidence in training-data provenance questionnaire, then the action for exam-readiness coordinator - Hypothesis scorecard against training-data provenance questionnaire: supported / rejected / untestable - Owner and next date for exam-readiness coordinator in a hospital deploying a sepsis-risk model - What changes training data has a if a near-miss where an agent emailed a customer unreviewed is later withdrawn