A Practical Review for AI Tool Accessibility

# A Practical Review for AI Tool Accessibility

Accessibility belongs in evaluation because a tool’s useful feature is not useful if people cannot operate or understand it. Review the full journey from sign-in to export.

Check the interface

Test keyboard navigation, visible focus, heading structure, labels, error messages, zoom, and contrast. A review should record observed behavior rather than assume that a framework guarantees it.

Check generated output

Look at headings, lists, tables, captions, alternative text, language, and reading order. Generated content needs the same accessibility review as authored content.

Check the fallback

A user should be able to correct, export, or abandon an automated result. Document support and escalation paths when the interface or output is inaccessible.

Record limitations

Capture the page, date, interaction method, observation, and severity. Link the evidence to the candidate so a later source refresh can determine whether the limitation changed.

Accessibility review is most useful when it affects selection and creates a clear follow-up rather than becoming a compliance checkbox.