White Men Lead, Black Women Help: Uncovering Gender, Racial, and Intersectional Bias in Language Agency

arXiv:2404.10508v1 Announce Type: new
Abstract: Social biases can manifest in language agency. For instance, White individuals and men are often described as "agentic" and achievement-oriented, whereas Black individuals and women are frequently described as "communal" and as assisting roles. This study establishes agency as an important aspect of studying social biases in both human-written and Large Language Model (LLM)-generated texts. To accurately measure "language agency" at sentence level, we propose a Language Agency Classification dataset to train reliable agency classifiers. …

abstract achievement agency arxiv bias biases cs.ai cs.cl cs.cy gender instance language manifest men racial roles social study type women