Recruiting (and more generally the whole hiring process) is one of the (few) business functions that has seen AI tools being deployed in actual production environments: from AI-powered hiring target research, recruiting outreach, and candidate screening to resume parsing and onboarding (and everything in between). It turns out AI’s (usually) hidden biases are problematic (no one is surprised) – but they also have the wonderful capability of reinforcing themselves.
Researchers already know that LLMs pick up human biases from their training data. New research suggests that LLMs can also develop their own biases from experience – and stereotype job applicants more than humans do.
