Large language models (LLMs), such as OpenAI's GPT-4, Google's Bard or Meta's LLaMa,
have created unprecedented opportunities for analysing and generating language data on a …

Despite progress made toward increasing women's interest and involvement in science,
technology, engineering, and math (STEM), women continue to be underrepresented and …

To recognize and mitigate harms from large language models (LLMs), we need to
understand the prevalence and nuances of stereotypes in LLM outputs. Toward this end, we …

Despite important advances, gender-based discrimination continues to hinder women's
career progress. This review examines the role that gender stereotypes play in promoting …

Word embeddings are numeric representations of meaning derived from word co-
occurrence statistics in corpora of human-produced texts. The statistical regularities in …

Does commitment to allyship from a dominant group member cue identity-safety for women
in male-dominated environments? We examine this question by assessing women's …

Gender: Psychological Perspectives synthesizes the latest research on gender to help
students think critically about the differences between research findings and stereotypes …

A preregistered meta-analysis, including 244 effect sizes from 85 field audits and 361,645
individual job applications, tested for gender bias in hiring practices in female-stereotypical …

Psychological science is at an inflection point: The COVID-19 pandemic has exacerbated
inequalities that stem from our historically closed and exclusive culture. Meanwhile, reform …

Although researchers investigating psychological contributors to educational inequality have
traditionally focused on students, a growing literature highlights the importance of teachers' …