Accessible and understandable AI interfaces
Apply WCAG to dynamic content and AI interactions.
The fundamentals still apply
An AI interface is still a Web interface. Alternative text, contrast, correctly labeled forms, visible focus and keyboard navigation matter whether a response is generated or not.
Announce dynamic content
New replies should be discoverable without unexpected focus jumps. Loading, error and completion messages can use accessible status regions appropriate to the context.
Communicate uncertainty
Generated claims should clearly state limitations and ways to inspect evidence. Cognitive accessibility benefits from structured language, undo paths and non-blaming error messages.
Test with people
Automated checks miss some barriers. Combine WCAG tests, keyboard paths, screen readers and feedback from affected users, then publish known limitations.
Accessible beyond automated checks
Generative systems introduce dynamic states, waiting, long answers and correction workflows. Inputs need accessible names, status changes should be announced and focus behavior should remain predictable. Automated tests catch some technical errors but miss many cognitive and real-world barriers.
Exercise: test a conversation interface
Navigate an assistant by keyboard from input through source inspection. Simulate generation or connection failures and assess status-message clarity. Check whether a user can interrupt or correct a request. Repeat with assistive technologies and representative users where possible.
Core steps
- 01Map essential user journeys
- 02Test keyboard access
- 03Verify status messages
- 04Evaluate comprehension
Three questions to ask
Can users navigate by keyboard?
Are loading states announced?
Can people inspect evidence and undo actions?
Read the source documents
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