For many people with disabilities, AI is not a novelty but a practical tool that removes everyday barriers. Some of the most meaningful applications of AI today are in accessibility. At the same time, poorly designed AI can create new barriers. Here is the landscape.

Vision

  • Scene and image descriptions: apps such as Be My Eyes’ Be My AI and Microsoft’s Seeing AI describe photos, read labels and documents, identify products and describe surroundings. Users can ask follow-up questions (“what color is the shirt?”, “what does the expiry date say?”).
  • Alt text generation: AI can suggest descriptions for images online, helping screen reader users — though human review improves quality.
  • Navigation aids: combining cameras, AI and audio cues to help with orientation.

Hearing

  • Live captions: real-time transcription in video calls, phones and operating systems makes conversations, lectures and media accessible to deaf and hard-of-hearing people.
  • Sound recognition: alerts for doorbells, alarms or a baby crying.
  • Sign language: research on recognizing and generating sign languages is advancing, though quality and respect for deaf communities’ input remain important concerns.

Speech and communication

  • Speech recognition for atypical speech: projects train models to understand people with speech differences, such as those caused by ALS, cerebral palsy or stroke.
  • Voice banking and synthesis: people at risk of losing their voice can preserve it, with AI creating a synthetic voice that sounds like them.
  • Augmentative and alternative communication (AAC): AI predicts words and phrases, speeding up communication for people who type or select symbols to speak.

Cognitive and learning differences

  • Text simplification and summaries for easier reading.
  • Text-to-speech readers for people with dyslexia.
  • Task planning and reminders for people with ADHD or memory difficulties.
  • Writing support for organizing thoughts.

Mobility

  • Voice control of computers, phones and smart homes.
  • Eye tracking combined with AI prediction for faster input.

The risks

  • Errors with consequences: a wrong description of medication or a street crossing can be dangerous. Users should have ways to verify.
  • Biased performance: speech systems often work worse for accented or atypical speech, and vision systems for some skin tones or environments, unless trained inclusively.
  • Inaccessible AI interfaces: chatbots and AI features themselves must work with screen readers and keyboard navigation.
  • Privacy: assistive apps may process very personal images and conversations.
  • Replacing human support: AI should add options, not justify cutting human services.

Principles for builders

Involve disabled people in design and testing (“nothing about us without us”), follow accessibility standards such as the W3C’s WCAG guidelines, evaluate performance across diverse users, and make AI features optional and controllable.

Principles for accessible AI

  • Nothing about us without us: involve disabled people in design and testing.
  • Offer alternatives: AI should add options, not remove human support.
  • Be accurate about limits: say when descriptions or captions may be wrong.
  • Follow accessibility standards such as WCAG for AI-powered interfaces.
  • Protect privacy, since assistive tools often process sensitive personal information.

See our case study on Be My Eyes and AI visual assistance, and the Be My Eyes and Seeing AI entries in our tools directory for tools you can try.

Bottom line

AI can expand independence when it is designed with disabled people, honest about limits and offered alongside human support.

What to watch next

  • Multimodal assistants integrated into smart glasses for blind and low-vision users.
  • Speech models trained on atypical speech becoming widely available.
  • Accessibility requirements applied to AI interfaces under laws such as the European Accessibility Act.
  • Research on sign language AI developed with deaf communities.

Key takeaways

  • AI describes images and scenes, captions speech and recognizes sounds.
  • Voice banking and AAC prediction help people communicate.
  • Text simplification, readers and planning tools support cognitive and learning differences.
  • Errors, bias, inaccessible interfaces and privacy are key risks.
  • Involving disabled people in design and following accessibility standards is essential.

Frequently asked questions

Are AI accessibility apps free?

Many important ones, such as Be My Eyes and Seeing AI, are free. Built-in operating-system features like live captions are also widely available.

Can AI replace sign language interpreters?

Not today. Sign language AI is still limited, and deaf communities emphasize the importance of qualified human interpreters.

How can I make my AI product accessible?

Follow WCAG guidelines, test with assistive technologies and disabled users, and provide alternatives to voice-only or vision-only interaction.