Publication

Abstract : The primary aim of this study is to explore the gender dynamics within Generative AI (GAI) research through an analysis of 5092 publications post the inception of ChatGPT in November 2022. This investigation seeks to comprehend how gender distribution varies across different research areas and geographical locations in GAI, assess thematic differences in contributions by male and female authors, identify areas of significant female activity, evaluate the impact of policies on gender dynamics, devise strategies to enhance gender diversity and explore how GAI research can propel women's advancement in STEM. The study reveals a dual narrative: a promising rise in female leadership within highly cited GAI research papers, juxtaposed with ongoing gender disparities in single-authored works and primary authorship positions. These findings underscore the unique position of GAI as distinct from traditional STEM fields, owing to its integration of technology with societal demands and its potential to foster increased female participation in STEM through its interdisciplinary approach and societal impact. By aligning with Sustainable Development Goal 5, this research champions inclusive development practices and policy reforms aimed at bolstering gender diversity and inclusivity within GAI research. The insights derived from addressing the research questions show how GAI can make STEM fields more inclusive, diverse, and attuned to societal needs, thereby maximizing the value of female researchers' contributions. © 2024 Elsevier Ltd