Collect local route-delay and driver-impact results | AIGP
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Collect local route-delay and driver-impact results: Which evidence would resolve the uncertainty?

AIGP Understanding How to Govern AI Deployment and Use Hard

The unresolved question concerns local operational and human impacts, so local route and driver evidence is most probative.

The question

A logistics scheduler shows strong aggregate accuracy in vendor testing, but approval reviewers lack evidence about route-level delays and driver impacts in their own operation. Which evidence would resolve the uncertainty?

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  1. Collect local route-delay and driver-impact results from a controlled deployment evaluation.
    Local outcome evidence directly tests the unresolved operational and human impacts under the proposed logistics context.
  2. Obtain another vendor accuracy report using the existing aggregate test population.
    Another aggregate report would not reveal route-level delays or driver impacts in the organization’s actual operating environment.
  3. Compare the scheduler’s accuracy with a smaller model using the same vendor dataset.
    Model comparison may inform selection, but shared vendor data still leaves local delays and driver impacts untested.
  4. Review the vendor’s model card for listed limitations and intended uses.
    Documentation can identify known limits but cannot establish actual route and driver outcomes in this deployment.
The trap
Match the evidence to the unanswered question; local impacts require local operational and affected-person evidence.

How to remember it

The unresolved question concerns local operational and human impacts, so local route and driver evidence is most probative.

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