Representative subgroup tests with uncertainty: Which evidence | AIGP
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Representative subgroup tests with uncertainty: Which evidence best satisfies that condition?

AIGP Understanding How Laws, Standards and Frameworks Apply to AI Hard

Use representative subgroup testing that records uncertainty and the limits of the testing.

The question

A financial-services team reports high overall extraction accuracy for an AI document processor. Approval is conditional on understanding performance for representative document groups and the limits of testing, not merely the aggregate score. Which evidence best satisfies that condition?

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  1. A policy requiring human review for every extracted financial field.
    Human review may be a control, but it does not answer whether testing evidence represents groups and documents uncertainty.
  2. A risk register assigning residual extraction risk to the operations manager.
    Risk ownership supports management, but it does not evaluate whether measured evidence is representative or sufficiently bounded.
  3. A vendor statement that aggregate accuracy is industry-leading.
    A vendor statement does not show subgroup performance, representative testing, uncertainty, or testing limitations.
  4. Representative subgroup tests with uncertainty and documented testing limits. ✓
    This directly evaluates performance across relevant groups while documenting uncertainty and limitations that aggregate accuracy can conceal.
The trap
For measurement questions, inspect representativeness, uncertainty, and testing limits—not just the headline metric.

How to remember it

Use representative subgroup testing that records uncertainty and the limits of the testing.

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