AI hiring tools used by large employers are repeatedly screening out some of the same job applicants, with researchers finding that Black and Asian candidates are disproportionately affected.
A Stanford-led study of 4mn job applications across 156 employers who used the Pymetrics hiring platform, which assesses people using a series of online games, found evidence of “systemic rejection” linked to the algorithms it used.
The research showed that jobseekers would need to apply for at least 25 different positions to be almost certain of receiving at least one recommendation to proceed to the next stage of an application.
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