Recruiters Mirror AI Bias, Study Finds

(From HR Dive) A University of Washington study found recruiters often mirror the biases of AI tools used in hiring. In tests with 528 participants, those using biased AI models favored candidates according to the AI’s skewed recommendations, while neutral AI or no AI led to equal selection rates. Researchers suggest implicit bias tests can reduce bias by 13%. Employers should also prepare for new regulations, like California’s 2027 rules requiring notices, risk assessments, and transparency in automated hiring.

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