#artificial intelligence
Apr 2026
Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
Research has documented LLMs'name-based bias in hiring and salary recommendations. In this paper, we instead consider a setting where LLMs generate candidate summaries for downstream assessment. In a large-scale controlled study, we analyze nearly one million resume summaries produced by 4 models under systematic race-...
H. Nghiem, Phuong-Anh Nguyen-Le, Sy-Tuyen Ho et al.
· arXiv.org · 1 citation