AI and the Future of Accessible Work

While AI offers exciting potential to improve workplace accessibility through real-time captioning, image alt-text generation, and writing support, it also poses significant risks and can create new barriers for disabled workers. Grounded in discussions among experts in accessibility, work and organizations, AI and machine learning, and disability policy, this article identifies six key consequences of AI for accessible work. These consequences are not merely technical, but are also structural, organizational, and social, and emotional, creating wide-ranging impacts on disabled workers. The use cases, norms, and concerns of AI for the future of work are rapidly evolving, creating new considerations for disabled workers who may simultaneously depend on and deplore AI tools. While we focus in particular on issues experienced by blind and low-vision workers in the U.S., we surface concerns that are likely to impact other disabled communities within and outside of the U.S. We conclude with four recommendations for moving toward responsible AI for accessible work, which articulate opportunities for future research, workplace accommodations processes, auditing of AI technologies, and AI governance and policy.

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Publication Details

Journal
Communications of the ACM
Published
2026-09-25
DOI
https://doi.org/10.1145/3799433
Primary Topic
Retirement, Disability, and Employment
Type
article
Field-Weighted Citation Impact
0.00
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article

AI and the Future of Accessible Work

Cynthia L. Bennett, Stacy Marie Branham, Chancey Fleet, Sharon Koppman et al.
Communications of the ACM
Retirement, Disability, and Employment
article

AI and the Future of Accessible Work

Cynthia L. Bennett, Stacy Marie Branham, Chancey Fleet, Sharon Koppman, Darren Gergle, Ali Abdolrahmani, Anne Marie Piper, Erik B. Sudderth, Arielle Michal Silverman, Ariana Aboulafia, Maitreya Shah
article en

Abstract

While AI offers exciting potential to improve workplace accessibility through real-time captioning, image alt-text generation, and writing support, it also poses significant risks and can create new barriers for disabled workers. Grounded in discussions among experts in accessibility, work and organizations, AI and machine learning, and disability policy, this article identifies six key consequences of AI for accessible work. These consequences are not merely technical, but are also structural, organizational, and social, and emotional, creating wide-ranging impacts on disabled workers. The use cases, norms, and concerns of AI for the future of work are rapidly evolving, creating new considerations for disabled workers who may simultaneously depend on and deplore AI tools. While we focus in particular on issues experienced by blind and low-vision workers in the U.S., we surface concerns that are likely to impact other disabled communities within and outside of the U.S. We conclude with four recommendations for moving toward responsible AI for accessible work, which articulate opportunities for future research, workplace accommodations processes, auditing of AI technologies, and AI governance and policy.

Communications of the ACM
Northwestern University (US), Google (United States) (US), Center for the Study of Democracy (BG), American Foundation for the Blind (US), University of California, Irvine (US), Maryland State Department of Education (US), Association of American Universities (US), New York Public Library (US)
Quality Education
Openalex Percentile: Top 4%
Retirement, Disability, and Employment
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