Disparate impact requiring further analysis: Which legal | AIGP
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Disparate impact requiring further analysis: Which legal concept best describes the changed risk under covered

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

A neutral employment-selection procedure causing disproportionate exclusion raises disparate-impact concerns, even without evidence of discriminatory intent.

The question

A US travel-support employer first used an AI tool to route routine customer inquiries among agents. It now uses the same neutral routing score to deny premium-service eligibility, and a protected group is disproportionately excluded. Which legal concept best describes the changed risk under covered employment-selection rules?

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  1. Consumer deception from routing performance.
    Consumer rules may matter to service representations, but the changed employment eligibility decision primarily raises selection-procedure concerns.
  2. Disparate treatment based on intent.
    The facts describe a facially neutral rule and disproportionate exclusion, without evidence that decision-makers intentionally treated the group differently.
  3. Disparate impact requiring further analysis.
    A neutral selection procedure producing disproportionate exclusion can raise disparate-impact concerns requiring job-relatedness, necessity, and alternatives analysis.
  4. Copyright infringement from changed use.
    Changing the tool’s decision use may create governance concerns, but the described protected-group disparity is an employment-selection issue.
The trap
Separate the procedure’s neutrality from its effects; disproportionate outcomes can trigger analysis without proving intent.

How to remember it

A neutral employment-selection procedure causing disproportionate exclusion raises disparate-impact concerns, even without evidence of discriminatory intent.

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