Towards Feminist Intersectional XAI: From Explainability to Response-Ability
This work addresses the need for more inclusive and critical approaches in AI design, particularly for marginalized communities, though it is conceptual and incremental in nature.
The paper tackles the problem of integrating feminist intersectional perspectives into explainable AI (XAI) design, proposing a shift from mere explainability to fostering response-ability, which involves critically evaluating and responding to AI systems while centering marginalized viewpoints.
This paper follows calls for critical approaches to computing and conceptualisations of intersectional, feminist, decolonial HCI and AI design and asks what a feminist intersectional perspective in HCXAI research and design might look like. Sketching out initial research directions and implications for explainable AI design, it suggests that explainability from a feminist perspective would include the fostering of response-ability - the capacity to critically evaluate and respond to AI systems - and would centre marginalised perspectives.