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Artificial intelligence applications supporting women’s career development: a scoping review
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Orientador(es)
Resumo(s)
Artificial intelligence (AI) is increasingly integrated into career guidance and organisational decision systems, yet empirical evidence on applications designed to support women’s career development remains limited. Following the PRISMA extension for scoping reviews (PRISMA-ScR) and a preregistered protocol, we searched seven databases (plus backward and forward citation searching) and synthesised 13 empirical studies published between 2018 and 2025. Using inductive thematic analysis, we identified three functional domains: (1) bias mitigation and representation (e.g. auditing gendered language and platform-level disparities), (2) skills development and empowerment (e.g. AI-supported learning and writing interventions) and (3) career pathways and retention (e.g. matching and attrition-risk modelling). The evidence base was concentrated in system-facing applications that detect or shape inequities within recruitment, evaluation and exposure systems; fewer studies evaluated individual-facing developmental support, and sustained career outcomes were rarely measured. Formal theory use was limited, with only a small minority of studies explicitly drawing on established frameworks; reporting on ethics, transparency and governance was inconsistent. We suggest that research prioritises longitudinal and theory-informed evaluations, including intersectionality-informed analyses, and assess downstream impacts on women’s career trajectories alongside robust governance and accountability practices.
Descrição
Palavras-chave
Artificial intelligence Gender equity Career development
Contexto Educativo
Citação
Editora
Springer Netherlands