LLMs Favor Their Own Resumes

In controlled tests, resume‑screening LLMs preferred resumes generated by themselves over equally qualified human‑written or other‑model resumes. Self‑preference bias ran 68%–88% across major models, boosting shortlists 23%–60% for applicants who used the same LLM as the evaluator. Simple prompts/filters halved the bias. — This reveals a hidden source of AI hiring unfairness and an arms race incentive to match the employer’s model, pushing regulators and firms to standardize or neutralize screening systems.