Require subgroup performance evidence for the intended | AIGP
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Require subgroup performance evidence for the intended: Which requirement addresses the key evidence gap?

AIGP Understanding the Foundations of AI Governance Easy

Screening evidence must address performance across the intended applicant population, not only aggregate accuracy.

The question

A vendor proposes an AI tool for employment screening. Its brochure reports strong overall accuracy, but the employer hires from several applicant populations and needs evidence before procurement approval. Which requirement addresses the key evidence gap?

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  1. Obtain a general supplier warranty covering screening outputs.
    A warranty allocates contractual responsibility but does not demonstrate performance or limitations for the employer’s applicant population.
  2. Require subgroup performance evidence for the intended applicant population.
    Subgroup results tied to the intended population reveal whether aggregate performance conceals uneven or inappropriate screening outcomes.
  3. Compare the tool’s score with recruiter judgments during a pilot.
    A pilot may generate useful evidence, but recruiter agreement alone does not ensure representative subgroup evaluation or explain limitations.
  4. Request the vendor’s overall validation accuracy report.
    Overall accuracy may hide different performance across applicant populations and does not establish fitness for this hiring context.
The trap
Ask whether evidence matches the intended population, use, and limitations—not merely whether a benchmark exists.

How to remember it

Screening evidence must address performance across the intended applicant population, not only aggregate accuracy.

How many of these would you get right?

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