Black at Work Article or Essay

AI Hiring Tools Can Yield Racial Bias and Systemic Rejection

Stanford researchers examine racial disparities in AI hiring tools and how employers’ use of the same systems can repeatedly disadvantage applicants.

By Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel, Dan Jurafsky, and Percy Liang · Stanford Institute for Human-Centered Artificial Intelligence · May 26, 2026

Black woman reviewing job applications on a laptop beside the title “AI Hiring Tools Can Yield Racial Bias and Systemic Rejection. — Image: AI-generated editorial illustration.

Read at Stanford Institute for Human-Centered Artificial Intelligence