AI models handling hiring shun human-written applications • The Register

Job seekers who use the same AI model to compose their resumes as the AI model used to evaluate their application are more likely to advance through the hiring process than those submitting human-written materials, according to researchers.

The findings, detailed in a preprint paper titled "AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights," further amplify persistent concerns about AI bias.

Authors Jiannan Xu, a PhD candidate at the University of Maryland, Gujie Li, assistant professor at the National University of Singapore, and Jane Yi Jiang, assistant professor at Ohio State University, found that "LLMs consistently prefer resumes generated by themselves over those written by humans or produced by alternative models, even when content quality is controlled."