Addressing AI Bias in Hiring Practices

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This document explores AI bias in hiring through the WV Taylor's University case study, highlighting how historical male-dominated data led to gender-biased resume rankings. It analyzes the responsibilities of various stakeholders and presents audit findings on biased data and transparency issues. Recommendations include redesigning hiring tools with safeguards and emphasizing cultural awareness and social responsibility. The conclusion stresses the importance of transparency, regular audits,...