Q&A: Researchers Discuss Algorithmic Monoculture and Racial Disparities in Automated Hiring Systems

Summary

This article is a Q&A with researchers Rishi Bommasani, Sarah Bana, Kathleen A. Creel, Dan Jurafsky, and Percy Liang about their study on "Algorithmic Monocultures in Hiring." The research examines how automated hiring systems built by a small number of algorithm vendors create a monoculture effect, where the same applicants are repeatedly rejected across different companies using the same underlying algorithms. The study highlights clear racial disparities in these automated hiring processes and takes a unique position-by-position investigative approach to reveal systemic biases in algorithmic hiring.