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• Inclusive Design of AI's Explanations: Just for Those Previously Left Out?

  Md Montaser Hamid, Fatima A. Moussaoui, Jimena Noa Guevara, Andrew Anderson, Puja Agarwal, Jonathan Dodge, Margaret Burnett · 2026 · ACM Transactions on Interactive Intelligent Systems

  This paper investigates whether inclusive design applied to AI explanations can produce curb-cut effects: improvements designed to help underserved users that also benefit everyone. The study centres on Explainable AI (XAI), a field concerned with helping users understand how AI…

  explainable AI · inclusive design · GenderMag · mental models · XAI

• The Perceptual Gap: Why We Need Accessible XAI for Assistive Technologies

  Shadab H. Choudhury · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Choudhury (University of Maryland, Baltimore County) presents a position paper and targeted literature review arguing that explainable AI (XAI) — the body of methods that help users understand why a black-box model produced a particular output — is fundamentally inaccessible to…

  explainable AI · XAI · artificial intelligence · blind and low vision · deaf and hard of hearing

• Designing Accessible, Explainable AI (XAI) Experiences

  Christine T. Wolf, Kathryn E. Ringland · 2020 · SIGACCESS Accessibility and Computing

  This paper examines the intersection of explainable AI (XAI) and accessibility, identifying two primary concerns that the XAI field has largely overlooked. The first concern is accessibility at the XAI interface itself. While XAI techniques like visual explanations have made…

  explainable AI · accessibility · aging in place · mental health · digital mental health

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