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The prior internal-population assumption no longer: Which assumption must be revisited?

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

The shift to external applicants invalidates the assumption that an internal-employee audit represents the covered population.

The question

A New York City employer used a covered automated employment decision tool only for internal promotions, then began screening external applicants. The tool and both uses are covered by NYC Local Law 144. Its prior bias-audit plan represented only internal employees. Which assumption must be revisited?

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  1. Public notice requirements apply only after the tool’s model changes.
    NYC notice and public-summary duties concern covered use, so changing applicants can matter without changing the underlying model.
  2. The prior internal-population assumption no longer supports the audit’s coverage analysis.
    External applicants are a different affected population, so the prior audit assumptions may not represent current covered employment selection effects.
  3. The tool’s technical accuracy is the only changed assumption.
    Changing from internal promotions to external screening changes the affected population and discrimination analysis, not merely technical accuracy.
  4. A federal approval determination replaces the municipal coverage analysis.
    NYC Local Law 144 is a municipal rule; no federal AI approval scheme substitutes for its covered-use analysis.
The trap
Recheck affected populations whenever a covered employment tool moves between internal and external selection.

How to remember it

The shift to external applicants invalidates the assumption that an internal-employee audit represents the covered population.

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