GoKawiilCHI 2026 study finds AI autocomplete can narrow gender pay gap in mock hiring evaluations
Researchers Liu, Lee and Bai ran a large between-subjects experiment where participants wrote hiring evaluations of resumes from a 'male' and 'female' applicant using an LLM autocomplete tool. When suggestions countered gender stereotypes, the female candidate's perceived competence and salary offers rose to match the male candidate's, but she was rated less likable, and the male candidate remained the overall favorite. Participants largely didn't notice the stereotype manipulation, focusing instead on the writing tool's usefulness.