A MAP record covering purpose: Which evidence should reviewers prioritize to resolve the contextual
Refresh MAP evidence for the new line’s purpose, users, affected people, limits, and foreseeable uses.
The question
A manufacturer wants to approve an AI inspection tool after strong laboratory accuracy results. The tool will operate on a new production line with different workers, materials, and foreseeable uses outside the intended inspection workflow. Which evidence should reviewers prioritize to resolve the contextual uncertainty?
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- A mitigation plan listing controls for already measured failure rates.Mitigation treatment presupposes adequate contextual mapping and does not establish the new line’s intended and foreseeable uses.
- A MAP record covering purpose, users, affected people, limits, and foreseeable uses. ✓This directly establishes the new deployment context, intended purpose, affected people, system limits, and foreseeable uses outside intended conditions.
- A management-system audit confirming the manufacturer’s governance procedures remain documented.An audit may support organizational governance, but it does not resolve the deployment-specific contextual uncertainties described.
- A refreshed aggregate accuracy score from the laboratory dataset.Laboratory aggregate accuracy may not reveal changed users, operating conditions, affected people, or foreseeable use outside intended conditions.
The trap
When operating conditions or users change, prioritize contextual evidence before relying on prior testing or mitigation plans. How to remember it
Refresh MAP evidence for the new line’s purpose, users, affected people, limits, and foreseeable uses.
How many of these would you get right?
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Part of the Certsqill AIGP question bank · Understanding How Laws, Standards and Frameworks Apply to AI ·
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