Empowering Access: How AI is Transforming Digital Accessibility

By Shelley Roossien, Accessibility & Inclusion Specialist

In a world increasingly shaped by digital experiences, ensuring accessibility for people with disabilities is not just a courtesy—it is a necessity. With 1 in 5 adults in the U.S. living with a disability, inclusive digital tools are needed now more than ever. With the recent explosion of interest in artificial intelligence, developers are now exploring and creating innovative AI solutions that promote independence, inclusion, and equal access. These revolutions in digital accessibility include things like: 

  • Real-time assistance (like live captions or voice commands) 
  • Greater independence through smart devices 
  • Personalized experiences tailored to individual needs 
  • Tools that help meet accessibility standards 

A Brief History of AI in Accessibility 

It is important to note that AI comes in many forms, not just generative AI and Large Language Models like ChatGPT and Gemini. In fact, AI has been around for decades, and its use in digital accessibility is no exception. As far back as the 1970s, accessibility tools have used forms of AI to address the needs of people with various disabilities.  

Technology  Disability Focus  Milestone Tools 
Speech Recognition  Mobility, Deaf/Hard of Hearing  Dragon NaturallySpeaking (1997), Virtual Assistants 
Text-to-Speech  Visual, Reading Disabilities  DECtalk (1980), JAWS (1995), Audiobooks 
OCR (Optical Character Recognition)  Blindness  Kurzweil Reading Machine (1976), Mobile Scanning Apps 
Predictive Text  Motor Impairments, Dyslexia  WordQ (2000), Smartphones 
Eye Tracking  Motor & Speech Disabilities  Tobii Eye Tracker (2000), Gaming Interfaces 
Haptic Feedback  Visual, Hearing, Cognitive  SensAble PHANToM (1993), Wearables 

Current Accessible AI Tools in Practice 

AI for Visual Disabilities 

SeeingAI: Narrates the world using a phone camera
Be My Eyes: Connects users to volunteers or AI assistants
VoiceOver, TalkBack, Narrator: Screen readers with AI enhancements
CaptionAI: Generates alt text for images 

AI for Deaf & Hard of Hearing 

Otter.ai / Google Live Transcribe: Real-time transcription
Zoom & Teams: Live captions and subtitles
ReSound Vivia: AI-powered smart hearing aids
Signapse AI: ASL interpretation 

AI for Cognitive Disabilities 

Ghotit: Writing support for dyslexia
Microsoft Immersive Reader: Reading comprehension aid
MindMeister: Thought organization for ADHD
CogniAssist: Task management for memory deficits 

AI for Motor Disabilities 

Voice Assistants: Siri, Alexa, Google Assistant
Smart Home Devices: Echo, Google Home
IntelliGaze: Eye-tracking computer control
Dragon Speech Recognition: Learns and adapts to user’s voice 

Challenges & Consideration 

AI can be a powerful tool, but it also raises serious concerns about fairness and privacy. In the area of accessibility, some critics point out that AI tools designed to remove barriers can create new ones if they are not built with real user in mind. For example, using AI to simulate sign language might sound helpful, but sign language has its own grammar and expressions that do not always translate well from English. As a result, important meaning can be lost. If the tool is not truly accessible to the people it is meant to help, then its good intentions do not really matter.  

Looking Ahead 

AI is ever changing and new trends in AI accessibility are emerging every day. Looking to the future, we may see sophisticated tools such as brain-computer interfaces, prosthetics and mobility aids, early neurological diagnosis, adaptive interfaces in conjunction with automated vehicles, and many other exciting innovations. As we all continue along this journey, we need to advocate for inclusive practices in the creation and adoption of AI tools and continue to educate ourselves about the importance of digital accessibility.  

 “Accessibility is not a feature, it’s a right.” – Anonymous