Minimal but Conditional: Auditing Demographic Bias in Large Language Model Résumé Evaluation Across Commercial and Open-Weight Models
Large language models are increasingly used to read résumés and judge who advances in hiring, a task once reserved for people and now handed to systems whose reasoning is hard to inspect. Whether these models carry the demographic biases that have long shaped human hiring is therefore an urgent question, and the publis...