Towards Feminist Intersectional XAI: From Explainability to Response-Ability
G. Klumbytė, H. Piehl, and C. Draude. (2023)Workshop Human-Centered Explainable AI (HCXAI), ACM Conference on Human Factors in Computing Systems CHI 23, April 23-28, 2023, Hamburg, Germany.
DOI: 10.48550/arXiv.2305.03375
Abstract
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.
%0 Generic
%1 klumbyte2023towards
%A Klumbytė, Goda
%A Piehl, Hannah
%A Draude, Claude
%D 2023
%K itegpub pitpub
%R 10.48550/arXiv.2305.03375
%T Towards Feminist Intersectional XAI: From Explainability to Response-Ability
%X 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.
@misc{klumbyte2023towards,
abstract = {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.},
added-at = {2023-05-11T11:45:35.000+0200},
author = {Klumbytė, Goda and Piehl, Hannah and Draude, Claude},
biburl = {https://www.bibsonomy.org/bibtex/2d897d19b072fb67ad3bf0fab0ef46123/limabla},
doi = {10.48550/arXiv.2305.03375},
interhash = {a3c664d1c540559651108f4376500b8b},
intrahash = {d897d19b072fb67ad3bf0fab0ef46123},
keywords = {itegpub pitpub},
note = {Workshop Human-Centered Explainable AI (HCXAI), ACM Conference on Human Factors in Computing Systems CHI 23, April 23-28, 2023, Hamburg, Germany},
timestamp = {2024-01-10T15:08:34.000+0100},
title = {Towards Feminist Intersectional XAI: From Explainability to Response-Ability},
year = 2023
}