Our recent report, Gender Diversity in AI research, involved a “big data” analysis of 1.5m papers in arXiv, a pre-prints website widely used by the AI community to disseminate its work.
We analysed the text of abstracts to determine which apply AI techniques, inferred the gender of the authors from their names and studied the levels of gender diversity in AI and its evolution over time. We also compared the situation in different research fields and countries, and differences in language between papers with female co-authors and all-male papers.
Our analysis confirms the idea that there is a gender diversity crisis in AI research. Only 13.8% of AI authors in arXiv are women and, in relative terms, the proportion of AI papers co-authored by at least one woman has not improved since the 1990s.