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Main Authors: Moharana, Sanika, Bennett, Cynthia L., Buehler, Erin, Madaio, Michael, Tibdewal, Vinita, Kane, Shaun K.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2508.16607
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author Moharana, Sanika
Bennett, Cynthia L.
Buehler, Erin
Madaio, Michael
Tibdewal, Vinita
Kane, Shaun K.
author_facet Moharana, Sanika
Bennett, Cynthia L.
Buehler, Erin
Madaio, Michael
Tibdewal, Vinita
Kane, Shaun K.
contents The rapid emergence of generative AI has changed the way that technology is designed, constructed, maintained, and evaluated. Decisions made when creating AI-powered systems may impact some users disproportionately, such as people with disabilities. In this paper, we report on an interview study with 25 AI practitioners across multiple roles (engineering, research, UX, and responsible AI) about how their work processes and artifacts may impact end users with disabilities. We found that practitioners experienced friction when triaging problems at the intersection of responsible AI and accessibility practices, navigated contradictions between accessibility and responsible AI guidelines, identified gaps in data about users with disabilities, and gathered support for addressing the needs of disabled stakeholders by leveraging informal volunteer and community groups within their company. Based on these findings, we offer suggestions for new resources and process changes to better support people with disabilities as end users of AI.
format Preprint
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institution arXiv
publishDate 2025
record_format arxiv
spellingShingle "Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations
Moharana, Sanika
Bennett, Cynthia L.
Buehler, Erin
Madaio, Michael
Tibdewal, Vinita
Kane, Shaun K.
Human-Computer Interaction
Artificial Intelligence
The rapid emergence of generative AI has changed the way that technology is designed, constructed, maintained, and evaluated. Decisions made when creating AI-powered systems may impact some users disproportionately, such as people with disabilities. In this paper, we report on an interview study with 25 AI practitioners across multiple roles (engineering, research, UX, and responsible AI) about how their work processes and artifacts may impact end users with disabilities. We found that practitioners experienced friction when triaging problems at the intersection of responsible AI and accessibility practices, navigated contradictions between accessibility and responsible AI guidelines, identified gaps in data about users with disabilities, and gathered support for addressing the needs of disabled stakeholders by leveraging informal volunteer and community groups within their company. Based on these findings, we offer suggestions for new resources and process changes to better support people with disabilities as end users of AI.
title "Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations
topic Human-Computer Interaction
Artificial Intelligence
url https://arxiv.org/abs/2508.16607