Publications, Presentations & Grants

Drawing on a 2024 student survey (n = 10,162) and 48 brief interviews, this paper explores how gender may influence attitudes toward GenAI, including perceptions of bias, trust, and educational impact. The analysis, framed within the context of public and post-conventional anthropology, highlights gendered differences in how students interpret GenAI’s risks and benefits, discusses how institutional tools such as surveys can shape what perspectives are made visible or overlooked, and offers concrete recommendations in support of effective and inclusive Gen AI implementation.