Reassess the updated version against the actual workflow: Which evidence should be required before continued
A version-specific reassessment tests changed behavior, controls, failure modes, and supplier responsibilities in the actual use case.
The question
An EU organization uses a vendor’s AI financial-document processor. The vendor releases a major model update and changes the extraction API. Under the organization’s internal approval process, applicable EU AI Act obligations must be met. Continued use requires reassessment of representative documents, controls, failure modes, and supplier responsibilities. Which evidence should be required before continued use?
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- Read the vendor’s release announcement.Release materials describe intended changes but do not establish effects on the organization’s documents, controls, or error patterns.
- Confirm support contacts and contract terms remain unchanged.Stable contacts support accountability but do not show that the updated version remains suitable for the approved workflow.
- Reassess the updated version against the actual workflow. ✓Deployment-specific reassessment examines changed behavior, representative inputs, controls, failure modes, and third-party responsibilities before relying on prior approval.
- Recheck extraction accuracy against the original benchmark only.One benchmark may miss changed inputs, workflow effects, sensitive errors, and new dependencies introduced by the release.
The trap
Reassess the changed version in the real use case; release notes, benchmarks, and unchanged contacts are insufficient alone. How to remember it
A version-specific reassessment tests changed behavior, controls, failure modes, and supplier responsibilities in the actual use case.
How many of these would you get right?
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Part of the Certsqill AIGP question bank · Understanding How to Govern AI Deployment and Use ·
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