Assess whether the system is high-risk under the EU AI Act from training-data

Situation

Training-data provenance questionnaire arrived with an examiner request for the current model inventory for vendor-diligence reviewer for AI tools. That is a AI Governance Inventory and Regulatory Fit decision on the system is high-risk in a retailer using generative AI in customer service.

Decision

Vendor-diligence reviewer for AI tools in a retailer using generative AI in customer service must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using training-data provenance questionnaire after an examiner request for the current model inventory.

Hypotheses to test

• Vendor-diligence reviewer for AI tools can defend Policy or governance breach from training-data provenance questionnaire after an examiner request for the current model inventory in a AI Governance challenge.
• Vendor-diligence reviewer for AI tools cannot defend Policy or governance breach from training-data provenance questionnaire; Model defect is what the extract actually supports after an examiner request for the current model inventory.
• An examiner request for the current model inventory never reached the population in training-data provenance questionnaire — reopen intake, do not close the system is high-risk.
• Two facts in training-data provenance questionnaire after an examiner request for the current model inventory conflict for vendor-diligence reviewer for AI tools; hold this Inventory and Regulatory Fit file.

Analysis required

• Map the approved-use case to the system the system is high-risk would bind.
• Check intended purpose and inventory status against EU AI Act / exam-readiness language after an examiner request for the current model inventory.
• Map the approved-use case to the system the system is high-risk would bind.
• For this AI Governance Inventory and Regulatory Fit file, read training-data provenance questionnaire against an examiner request for the current model inventory and write the one fact that would move the system is high-risk for vendor-diligence reviewer for AI tools.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Inventory and Regulatory Fit packet (training-data provenance questionnaire after an examiner request for the current model inventory). Lead with the AI Governance option training-data provenance questionnaire can support after an examiner request for the current model inventory, then the two facts that force it, then the Monday action for vendor-diligence reviewer for AI tools in a retailer using generative AI in customer service.