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