%0 Generic %1 klumbyte2023explaining %A Klumbytė, Goda %A Piehl, Hannah %A Draude, Claude %D 2023 %K pitpub itegpub from:limabla %R 10.48550/arXiv.2305.03376 %T Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour %X Contemporary automation through AI entails a substantial amount of behind-the-scenes human labour, which is often both invisibilised and underpaid. Since invisible labour, including labelling and maintenance work, is an integral part of contemporary AI systems, it remains important to sensitise users to its role. We suggest that this could be done through explainable AI (XAI) design, particularly feminist intersectional XAI. We propose the method of cartography, which stems from feminist intersectional research, to draw out a systemic perspective of AI and include dimensions of AI that pertain to invisible labour.

@misc{klumbyte2023explaining, abstract = {Contemporary automation through AI entails a substantial amount of behind-the-scenes human labour, which is often both invisibilised and underpaid. Since invisible labour, including labelling and maintenance work, is an integral part of contemporary AI systems, it remains important to sensitise users to its role. We suggest that this could be done through explainable AI (XAI) design, particularly feminist intersectional XAI. We propose the method of cartography, which stems from feminist intersectional research, to draw out a systemic perspective of AI and include dimensions of AI that pertain to invisible labour.}, added-at = {2024-01-10T14:28:41.000+0100}, author = {Klumbytė, Goda and Piehl, Hannah and Draude, Claude}, biburl = {https://www.bibsonomy.org/bibtex/22fb9def19c57f84e3d478233f56f77f6/partit}, doi = {10.48550/arXiv.2305.03376}, interhash = {587aa08bca34414c0357fd4462b59d5b}, intrahash = {2fb9def19c57f84e3d478233f56f77f6}, keywords = {pitpub itegpub from:limabla}, note = {Workshop Behind the Scenes of Automation: Ghostly Care-Work, Maintenance, and Interference, ACM Conference on Human Factors in Computing Systems CHI 23, April 23-28, 2023, Hamburg, Germany}, timestamp = {2024-01-10T14:28:41.000+0100}, title = {Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour}, year = 2023 }