Validate the rural population and revise public claims | AIGP
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Validate the rural population and revise public claims: What should the agency do first?

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

Supplier testing does not transfer automatically to a changed applicant population; the agency needs relevant validation and accurate claims.

The question

A US public-benefit agency procured an eligibility model from a supplier that advertised 99% accuracy on laboratory data. The agency now applies it to rural applicants whose records are less complete, while continuing public statements based on the supplier’s figure. The contract assigns testing responsibility to the supplier but does not validate this population. What should the agency do first?

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  1. Ask the supplier to confirm that laboratory performance transfers to rural applicants.
    Supplier confirmation is not evidence that performance transfers across populations with different data completeness and operating conditions.
  2. Validate the rural population and revise public claims to match supported performance.
    The changed population defeats the laboratory assumption; validation and accurately limited claims address substantiation and foreseeable performance risks.
  3. Replace the model before publishing any further performance information about eligibility decisions.
    Replacement may be warranted later, but the stated evidence gap is addressed first through relevant validation and claim correction.
  4. Repeat the supplier’s accuracy statement with a procurement disclaimer.
    A disclaimer and supplier attribution do not substantiate a public claim for rural applicants or remove the agency’s ordinary responsibilities.
The trap
External sourcing does not transfer responsibility for substantiating claims about the deployed service.

How to remember it

Supplier testing does not transfer automatically to a changed applicant population; the agency needs relevant validation and accurate claims.

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