The Role of AI in Accessibility: From Web Development to Assistive Technology
Artificial Intelligence has been one of the biggest topics in technology over the past few years, and accessibility is an area where it can have a meaningful impact. Based on my own hands-on experience, observations, and research, here is how AI is actively supporting us across two critical fronts: web development and assistive technology.
1. Web Accessibility
At the digital and code level, AI acts as an accelerator that helps teams build more inclusive products from the ground up.
Intelligent Code Reviews
We have set up our own custom style guide for code reviews to ensure quality standards are met across every single developer's pull request. This goes beyond accessibility guidelines to cover general engineering best practices across our tech stacks.
From an accessibility standpoint, this setup catches major flaws at the code-commit stage, aligning closely with "Shift Left" principles (the practice of moving testing and quality checks to the earliest possible stage of development). Doing this in the past required massive effort to build and maintain custom linters. While AI drastically reduces manual review fatigue, human oversight remains absolutely essential.
Content Creation and Validation
AI can instantly simplify complex prose for better cognitive accessibility, as well as generate highly descriptive alternative text (alt-text) and image captions. However, because AI can lack nuance, this output should always be treated as a draft and reviewed by a human before going live.
Automated Closed Captions
Generating real-time or post-production captions for video content is another area where AI drastically lowers the barrier to entry, making accessible multimedia more scalable for Deaf and hard-of-hearing communities.
However, from an accessibility standpoint, unedited Automatic Speech Recognition (ASR) is not enough. While modern AI models handle clean audio exceptionally well, they struggle with heavy accents, specialized technical jargon, and background noise. Accessibility requirements and quality expectations mean AI-generated captions should be reviewed for accuracy and completeness before final publication.
Accessible Code Generation
AI-assisted development is a massive talking point right now. By feeding reliable models precise, accessibility-first instructions, we can generate highly accurate UI code. Of course, this code still requires human guidance, manual corrections, and a rigorous self- and peer-review process to ensure it actually works with assistive tools.
By feeding reliable models precise, accessibility-first instructions, we can generate highly accurate UI code.
2. Assistive Technology
Beyond the browser, AI is embedding itself directly into physical hardware and user environments, transforming how people interact with the physical world.
AI and Computer Vision
Camera-equipped hardware like smartphones and smart glasses can leverage powerful apps like Seeing AI, Envision, Google Lookout, and Be My Eyes. These tools utilize computer vision to give blind and low-vision users independence, allowing them to read product labels, assist with navigation in physical spaces, identify objects, and read physical books or documents on the fly.
AI-Driven Video Interaction
While watching the recordings of the Microsoft Ability Summit, I caught a fascinating section on MS Teams' Sign Language View. It utilizes AI-assisted video elevation to prioritize and keep sign language interpreters visible and properly framed during a call. This can help create a more natural and uninterrupted experience for Deaf users.
Acoustic Intelligence in Hearing Aids
AI is fundamentally shifting how hearing aids operate by helping them distinguish human speech from chaotic background noise in real time. This is remarkably similar to the machine learning technology Amazon uses for its "Dialogue Boost" feature on Prime Video. The core difference is beautiful: one acts on pre-recorded audio files, while the other runs locally on a live wearable device, adapting to the user's environment second by second.
Smart Home Ecosystems
For users with severe motor disabilities, smart homes are a gateway to autonomy. Eye-tracking tech and advanced voice dictation tools allow users to seamlessly control software and home appliances. These systems rely heavily on Deep Neural Networks (DNNs)—advanced AI models modeled after the human brain to process highly complex, real-time physical inputs.
Where AI shows up in accessibility
Web Accessibility AI helps build and check the site. | Assistive Technology AI helps people use what's built. |
| Alt-text for images | Describing scenes and objects |
| Simplifying complex prose | Captioning speech live |
| Generating accessible code | Separating speech from noise |
| Reviewing code for issues | Eye-tracking and voice control |
| People stay accountable | AI can do the work on both fronts. It can't take responsibility for the result. |
The Road Ahead
As these examples show, AI's impact on accessibility is not confined to web compliance; it spans smart homes, portable hardware, and daily human connection.
What excites me most is that we're still at the beginning. Every year, these tools become more capable, more accessible, and more deeply integrated into our everyday lives.
AI will never replace empathy, lived experience, or the need for human judgment. In the hands of thoughtful engineers, designers, and accessibility professionals, it has the potential to remove barriers at a scale we've never seen before.
