Withdraw the unsupported claim pending: Under US | AIGP
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Withdraw the unsupported claim pending: Under US consumer-protection and competition rules, what immediate

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

Claims-population evidence does not substantiate an underwriting fairness claim; the unsupported claim must be withdrawn pending targeted evidence.

The question

An insurer in the United States marketed an AI claims tool as “bias-free,” based on testing against historical claims. It now uses the tool in underwriting, where applicants, outcomes, and risks differ materially from the tested claims population. The insurer has no evidence supporting the same statement for underwriting. Under US consumer-protection and competition rules, what immediate corrective action is required?

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  1. Publish the historical validation results with a limitation notice and continue underwriting use.
    Disclosure of mismatched evidence does not substantiate an underwriting fairness claim or investigate foreseeable group effects.
  2. Withdraw the unsupported claim pending underwriting-specific testing.
    The insurer lacks substantiation for the claim in the new underwriting context, so it should withdraw the representation before making a supported one.
  3. Replace “bias-free” with “AI-assisted” while retaining the same underwriting deployment.
    Changing the label does not remove implied fairness or resolve foreseeable discriminatory effects in underwriting.
  4. Keep the statement because historical claims data included many policyholders.
    A broad historical sample does not substantiate a bias-free underwriting claim when the population, decision, and outcomes changed.
The trap
Match fairness claims to the actual decision, population, and outcome being advertised.

How to remember it

Claims-population evidence does not substantiate an underwriting fairness claim; the unsupported claim must be withdrawn pending targeted evidence.

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