FAQs

AI plays a vital role in making digital experiences more inclusive. It powers AI accessibility tools such as real-time captions, adaptive interfaces, voice recognition, and automated testing. These innovations help bridge accessibility gaps and ensure technology works for people with diverse needs.

 

Teams can embed these principles from the start with role-based accessibility training that equips staff to deliver inclusive solutions.

AI can create challenges if training data is biased, if tools generate inaccurate results, or if inclusivity is overlooked during development. Without careful design, AI for accessibility risks reinforcing existing barriers rather than removing them. That is why ethical frameworks and inclusive datasets are essential.

Yes. AI assistive technology is already helping people with disabilities live more independently. Examples include smart wheelchairs, apps like Seeing AI and Be My Eyes, and communication tools like Voiceitt. These solutions show how AI and accessibility together can transform daily life.

AI can be used in several ways to support accessibility:

 

  • Automating accessibility testing for websites and apps

  • Using AI accessibility tools such as live captioning, navigation aids, or screen reader enhancements

  • Embedding adaptive and context-aware features into mainstream technology

  • Supporting personalised experiences that adjust to user preferences