Artificial intelligence and gender in management research: A systematic literature review of the last decade

The aim of this study is to provide a systematic literature review (SLR) on the relationship between artificial intelligence (AI) and gender equality. According to the literature, this interconnection has become more relevant than ever, thanks to the rapid diffusion of new advanced technological tools in firms’ processes and the connected emergence of issues related to fairness, bias, inclusion, and ethical responsibility within societal and managerial contexts. According to the analyzed literature, this connection is frequently examined through the lens of sustainable corporate governance, aiming to provide a range of monitoring, advisory, and incentive mechanisms designed to ensure responsible business management. To highlight this relationship, we analyze the 50 most cited academic sources on the topic, within the timeframe 2014–2025, retrieved from the authoritative scientific database Scopus in January 2026. Our findings, classified according to four analytical dimensions such as “Temporal distribution of sources”, “Distribution of citations”, “Keywords analysis” and “Purpose, results and implications”, offer both theoretical and practical insights in outlining the main characteristics and emerging trends in this research field. Specifically, the review allowed us to identify four main research streams, which capture the key thematic patterns and conceptual organization of the most recent academic literature.