AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
Summary
A recent arXiv study shows LLMs consistently prefer resumes generated by themselves over human-written or other-model resumes, even when quality is matched. The findings highlight self-preferencing bias in AI-assisted hiring and suggest interventions can significantly reduce this bias, with important implications for fairness in automated recruitment.