Assess whether training data has a lawful basis and documented lineage
August 31, 2026
SITUATION Exam-readiness coordinator in a university licensing an AI proctoring vendor has one working extract — explainability pack for a denied-credit decision — after an internal audit finding that human review logs are empty. If explainability pack for a denied-credit decision cannot support training data has a, the only defensible AI Governance output is hold.
DECISION Exam-readiness coordinator in a university licensing an AI proctoring vendor must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using explainability pack for a denied-credit decision after an internal audit finding that human review logs are empty.
HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; explainability pack for a denied-credit decision already has the discriminator after an internal audit finding that human review logs are empty. 2. Keep Model defect in force until explainability pack for a denied-credit decision is completed after an internal audit finding that human review logs are empty for exam-readiness coordinator. 3. Treat explainability pack for a denied-credit decision as Dual failure because both readings appear after an internal audit finding that human review logs are empty. 4. Refuse a AI Governance close: exam-readiness coordinator does not have the decision training data has a turns on in explainability pack for a denied-credit decision.
ANALYSIS REQUIRED 1. Map the approved-use case to the system training data has a would bind. 2. Check intended purpose and inventory status against EU AI Act / exam-readiness language after an internal audit finding that human review logs are empty. 3. Map the approved-use case to the system training data has a would bind. 4. For this AI Governance Vendors and Agentic Systems file, read explainability pack for a denied-credit decision against an internal audit finding that human review logs are empty 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 / Vendors and Agentic Systems packet (explainability pack for a denied-credit decision after an internal audit finding that human review logs are empty). If explainability pack for a denied-credit decision cannot force a AI Governance label under Vendors and Agentic Systems, stop. If explainability pack for a denied-credit decision after an internal audit finding that human review logs are empty cannot support Policy or governance breach versus Model defect on this AI Governance Vendors and Agentic Systems close, exam-readiness coordinator must leave the classification unresolved and name the missing control or provenance fact.
Explore more
More AI Governance prompts
- Assess whether the inventory can be represented to an examiner as complete
- Assess whether training data has a lawful basis and documented lineage
- Assess whether an agent may take actions without a human gate (05fb4e)
- Assess whether a shadow system must be decommissioned this quarter (b005e6)
- Assess whether deprecation of a legacy scorecard creates a governance gap
Explore related decision areas
See governed multi-model AI on your own prompt
Compare GPT-5, Claude, and Gemini side by side, with human review and a decision record built in.

