Job seekers desperate for a new gig now have to contend with a thoroughly modern hurdle: applicant tracking systems that automatically give preference to candidates who used AI to write their resumes.
A recent study found AI-powered applicant tracking systems, or ATS, not only prefer AI-written resumes over those composed by humans — they’re more likely to put candidates on the short list if they used the same large language model the company already employs.
“LLMs, when used as evaluators, systematically prefer resumes they generated themselves over equivalent resumes written by humans,” according to the study, “AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights.”
The bias discovered by researchers Jiannan Xu of the University of Maryland, Gujie Li of the National University of Singapore and Jane Jiang of Ohio State University means strong candidates could get left in the dust.
“Left unaddressed, this bias can distort hiring outcomes by systematically advantaging candidates who use the same LLM as employers, while disadvantaging equally qualified applicants who do not,” they wrote in the August study, which was published on the research sharing platform arxiv.org in February.
