Assess whether training data has a lawful basis and documented lineage

SITUATION In a university licensing an AI proctoring vendor, shadow-IT chatbot connected to customer PII is the evidence after a new use case bolted onto a model approved for a narrower purpose. Privacy counsel supporting AI inventory has to pick Policy or governance breach or Model defect for this AI Governance Bias and Training Data close using shadow-IT chatbot connected to customer PII.

DECISION Privacy counsel supporting AI inventory in a university licensing an AI proctoring vendor must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using shadow-IT chatbot connected to customer PII after a new use case bolted onto a model approved for a narrower purpose.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; shadow-IT chatbot connected to customer PII already has the discriminator after a new use case bolted onto a model approved for a narrower purpose. 2. Keep Model defect in force until shadow-IT chatbot connected to customer PII is completed after a new use case bolted onto a model approved for a narrower purpose for privacy counsel supporting AI inventory. 3. Treat shadow-IT chatbot connected to customer PII as Dual failure because both readings appear after a new use case bolted onto a model approved for a narrower purpose. 4. Refuse a AI Governance close: privacy counsel supporting AI inventory does not have the decision training data has a turns on in shadow-IT chatbot connected to customer PII.

ANALYSIS REQUIRED 1. Check intended purpose and inventory status against EU AI Act / exam-readiness language after a new use case bolted onto a model approved for a narrower purpose. 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 new use case bolted onto a model approved for a narrower purpose. 4. For this AI Governance Bias and Training Data file, read shadow-IT chatbot connected to customer PII against a new use case bolted onto a model approved for a narrower purpose and write the one fact that would move training data has a for privacy counsel supporting AI inventory.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (shadow-IT chatbot connected to customer PII after a new use case bolted onto a model approved for a narrower purpose). If shadow-IT chatbot connected to customer PII cannot force a AI Governance label under Bias and Training Data, stop. If shadow-IT chatbot connected to customer PII after a new use case bolted onto a model approved for a narrower purpose cannot support Policy or governance breach versus Model defect on this AI Governance Bias and Training Data close, privacy counsel supporting AI inventory must leave the classification unresolved and name the missing control or provenance fact.