AI is more likely than humans to form biases when hiring

Researchers found that large language models (AI systems trained on vast amounts of text data) develop stronger hiring biases than humans when making repeated decisions about job candidates, even when all candidates have equal chances of success. LLMs quickly generalize from limited early examples—a strength for solving math problems but a weakness in hiring—and this tendency is even stronger in newer, more advanced models. As these AI systems gain memory features to remember past conversations, they may reinforce these biases further.