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AI hiring

AI-driven hiring tools overwhelmingly prefer resumes with names associated with white men, a new University of Washington (UW) study has found. Resumes with white male names were selected 85% of the time, while those with female-associated names were chosen only 11% of the time. By contrast, resumes with names associated with Black men fared the worst, with models passing them over in favor of other groups in nearly 100% of cases. Biases in AI Resume Screening AI-powered tools are becoming staples in the hiring process. For example, large language model