AI-driven hiring tools overwhelmingly prefer resumes with names associated with white men, a new University of Washington (UW) study has found. Resumes with white male names were selected 85% of the time, while those with female-associated names were chosen only 11% of the time. By contrast, resumes with names associated with Black men fared the worst, with models passing them over in favor of other groups in nearly 100% of cases. Biases in AI Resume Screening AI-powered tools are becoming staples in the hiring process. For example, large language model
The type of advice AI chatbots give people varies based on whether they have Black-sounding names, researchers at Stanford Law School have found. The researchers discovered that chatbots like OpenAI’s ChatGPT and Google AI’s PaLM-2 showed biases based on race and gender when giving advice in a range of scenarios. Chatbots: Biased Advisors? The study “What’s in a Name?” revealed that AI chatbots give less favorable advice to people with names that are typically associated with Black people or women compared to their counterparts. This bias spans across various scenarios such as job
