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Designing AI-enabled career coaching tools for women: an expert interview study
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Resumo(s)
AI-enabled coaching is increasingly being introduced into career development, yet limited attention has been paid to how such tools should be designed for women’s career development, particularly in male-dominated contexts. This study explored which AI-enabled career coaching use cases experts consider relevant and feasible for women, and what contextual, design, risk, and governance requirements should guide their responsible development. Sixteen multidisciplinary experts from career development, coaching, organisational development, women’s health, AI coaching, AI ethics, and DEI participated in semi-structured interviews. Data were analysed using reflexive thematic analysis. Five themes were generated: integrated expert lenses and theoretical foundations; the biopsychosocial ecosystem of women’s careers; AI architecture and mechanics of intervention; the human-AI coaching dialectic; and ethical governance and agency risk. Experts supported AI-enabled coaching only conditionally, especially for bounded functions such as structured reflection, scoped psychoeducation, behavioural rehearsal, and action support. They cautioned against tools that reproduce androcentric career assumptions, individualise structural barriers, or substitute for human empathy, contextual judgement, and professional accountability. The study develops an expert-derived framework that sets out how AI-enabled career coaching tools for women should be designed, governed, and evaluated. The framework specifies requirements relating to conceptual alignment, ecosystem attunement, intervention mechanics, and agency-centred governance. It may serve both as a guide for future tool development and as an evaluative lens for assessing existing AI coaching and career-support tools. Future research should test these bounded use cases with women end-users across different career stages and work contexts.
Descrição
Palavras-chave
AI coaching Career development Women’s careers Career coaching Gender Artificial intelligence; Agency Governance Expert interviews
Contexto Educativo
Citação
Editora
OSF