AI is more likely than humans to form biases when hiring

New research indicates AI language models can develop their own hiring biases beyond those inherited from training data. The finding raises concerns about fairness as AI increasingly screens résumés before human review. Researchers warn that LLMs may form novel biases, potentially compounding existing discrimination in automated hiring processes. The study highlights the need for ongoing bias monitoring in AI recruitment tools.