AI tools lead to ‘clear racial disparities’ in job hiring

A Stanford-led study says candidates who fail AI hiring tests face systemic rejection across companies, but the RSS snippet does not disclose sample size, test design, vendors, or measured disparity rates.

Why it matters: FT plus a Stanford-led study gives HKR-H/R: AI hiring bias tied to real candidate rejection across companies. HKR-K is weak because sample size and test mechanics are not disclosed, so it stays low-featured.