Assess whether explainability artifacts would survive an exam (7f2872)

Situation

After a DPA inquiry about training on European user data, training-data provenance questionnaire is what EU AI Act implementation manager can touch in a pharma company using LLMs on trial documents. AI Governance will live with Policy or governance breach versus Model defect on this Bias and Training Data file.

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 training-data provenance questionnaire after a DPA inquiry about training on European user data.

Hypotheses to test

• Authorize Policy or governance breach now; training-data provenance questionnaire already has the discriminator after a DPA inquiry about training on European user data.
• Keep Model defect in force until training-data provenance questionnaire is completed after a DPA inquiry about training on European user data for EU AI Act implementation manager.
• Treat training-data provenance questionnaire as Dual failure because both readings appear after a DPA inquiry about training on European user data.
• Refuse a AI Governance close: EU AI Act implementation manager does not have the page explainability artifacts would survive turns on in training-data provenance questionnaire.

Analysis required

• Check intended purpose and inventory status against EU AI Act / exam-readiness language after a DPA inquiry about training on European user data.
• Map the approved-use case to the system explainability artifacts would survive would bind.
• Check intended purpose and inventory status against EU AI Act / exam-readiness language after a DPA inquiry about training on European user data.
• For this AI Governance Bias and Training Data file, read training-data provenance questionnaire against a DPA inquiry about training on European user data and write the one fact that would move explainability artifacts would survive 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 (training-data provenance questionnaire after a DPA inquiry about training on European user data). 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 explainability artifacts would survive, then the evidence in training-data provenance questionnaire, then the action for EU AI Act implementation manager
• Hypothesis scorecard against training-data provenance questionnaire: supported / rejected / untestable
• Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others
• Owner and next date for EU AI Act implementation manager in a pharma company using LLMs on trial documents