Opportunity
AI-based assistive tools can lower specific access barriers for persons with disabilities; for example, image description tools for visually impaired users, lecture transcription for hearing impaired users, as well as navigation assistance and screen-reader integration.
Limitation
Quality is uneven; particularly for non-Western imagery, minority languages, disability representation, and culturally specific visuals.
Illustrative Examples
Sign-language and captioning AI to address interpreter and captioner shortages
AI sign-language and captioning tools (i.e., sign-language recognition applications, avatar interpretation software, translation applications, automated captioning) can extend access where qualified interpreters and captioners are scarce, addressing shortages particularly in LMICs.
Caution
AI sign language tools are not widely accepted in Deaf communities. These systems are too simplified and do not fully capture meaning, context, or the richness of sign languages. They are usually built with limited or no involvement from Deaf people. Sign languages are also not universal. Tools trained on one sign language may not work for others, and many less commonly used sign languages are missing or underrepresented in training data. The use of these tools should be guided by Deaf and Hard of Hearing communities. For high-stakes situations, such as healthcare, legal, or education settings, systems should clearly state their limits and always include access to a qualified human interpreter.