US EditionAI hiring tools exhibit complex gender and racial biases
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AI hiring tools exhibit complex gender and racial biases
As artificial intelligence becomes more widely used in talent recruitment, employers must seriously consider the biases these models may introduce in hiring decisions. A study of five leading large language models reveals that intersectionality, rigorous piloting, and human oversight are necessary to reduce algorithmic bias.
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