“Accessibility People, You Go Work on That Thing of Yours over There”: Addressing Disability Inclusion in AI Product Organizations

The rapid emergence of generative AI has changed the way that software is designed, constructed, maintained, and evaluated. Decisions made when creating AI-powered systems may impact some users disproportionately, including vulnerable communities such as people with disabilities. In this paper, we report on an interview 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 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.

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Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2025-10-15
DOI
https://doi.org/10.1609/aies.v8i2.36669
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
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article

“Accessibility People, You Go Work on That Thing of Yours over There”: Addressing Disability Inclusion in AI Product Organizations

Sanika Moharana, Cynthia L. Bennett, Michael Madaio, Erin Buehler et al.
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Digital Economy and Work Transformation
article

“Accessibility People, You Go Work on That Thing of Yours over There”: Addressing Disability Inclusion in AI Product Organizations

Sanika Moharana, Cynthia L. Bennett, Michael Madaio, Erin Buehler, Vinita Tibdewal, Shaun K. Kane
article en

Abstract

The rapid emergence of generative AI has changed the way that software is designed, constructed, maintained, and evaluated. Decisions made when creating AI-powered systems may impact some users disproportionately, including vulnerable communities such as people with disabilities. In this paper, we report on an interview 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 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.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 8(2)
Google (United States) (US), Carnegie Mellon University (US)
Openalex Percentile: Top 61%
Digital Economy and Work Transformation
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