A participação das mulheres na pesquisa de Inteligência Artificial na pós-graduação brasileira

uma análise de gênero

Abstract

This article investigates the participation of women in the academic production of theses and dissertations in Artificial Intelligence (AI) within Brazilian postgraduate programs, with a specific focus on the United Nations' Sustainable Development Goal 5, which aims to promote gender equality. The research employed a mixed-method approach to map and categorize 556 records from the Brazilian Digital Library of Theses and Dissertations (BDTD), classifying them according to the authors' gender and the thematic areas addressed. The results reveal that although women represent around 30% of the total works in AI, there has been significant growth in female production since 2018. However, the research indicates that male dominance remains significant, especially in prestigious institutions such as the University of São Paulo (USP) and the State University of Campinas (UNICAMP), highlighting the persistence of structural barriers. In addition to identifying these disparities, the study proposes the implementation of more assertive public policies and the creation of incentive programs to increase female participation in science and technology fields. It concludes that despite the observed advances, gender equity in AI research continues to face substantial challenges, requiring ongoing efforts to ensure truly inclusive and equitable technological development.