Study of AI hiring tools finds racial bias in US applicant screening. Analysis of 4M job applications shows Asian and Black candidates disproportionately directed to positions with adverse impact under discrimination standards.
The largest empirical study to date on AI in hiring, led by Stanford University, found clear racial disparities in applicant outcomes, with Asian and Black candidates facing adverse impact from screening algorithms.
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