AI Hiring Tools Show Racial Bias, Reject 26% of Black Applicants

A Stanford study finds AI hiring tools disproportionately reject Black and Asian applicants, with 26% of Black candidates and 15% of Asian candidates facing systemic rejection. The bias stems from training data and algorithm design, not intentional discrimination. Researchers call for regulatory oversight and transparency in automated hiring systems.