Artificial Intelligence and Gender Roles: A Structured Literature Review (SLR)

This study presents a Structured Literature Review (SLR) aimed to explore a relationship between Artificial Intelligence (AI) and Gender equality, with a particular focus on the historical developments of this topic and the identification of future research prospectives. AI is widely regarded as a transformative force with the capacity to reshape numerous dimensions of global society. While its long-term effects on economic system remain subject to debate, the labor market is already emerging as a critical area of impact. Moreover, AI holds the potential to enhance efficiency and productivity, but it simultaneously raises concerns about job displacement, access to opportunities and, exacerbation of existing social inequality. In this context, our objective is to examine how academic literature has responded to the emergence of AI, particularly analyzing the extent to which gender-related themes are integrated into discussions of AI development and application. To achieve this, the review is supported by a bibliometric analysis, conducted using the Biblioshny package in R-Studio, were performed on a sample of 290 academic documents (Articles and Book Chapters) available on Scopus and published from 2015 to 2025. The dataset was selected through a rigorous and validated screening process to ensure relevance and academic quality. The analysis is structured around four main dimensions: the annual evolution of publications, the identification and frequency of emerging keywords and trending topics, and the geographical distribution of scholarly contributions. The originality of this research lies in its methodological approach and use of bibliometric analysis, to explore a broad spectrum of academic publications over a significant period, serving as a potential base for further insights and future studies.