AI Will Revolutionize Accessibility
In Its Current State, Accessibility Is Hard
Building accessible digital products is tough. Right now, it requires product designers to dive deep into the complexities of accessibility—learning the ins and outs of the WCAG (Web Content Accessibility Guidelines) and developing a sharp intuition for tackling gray areas. It's not straightforward, and getting it right takes time and effort.
For people who rely on accessible products, it's not much easier. They often need specialized software or even hardware to interact with digital tools. Each piece of technology comes with its own quirks, a learning curve, and a price tag—especially if hardware is involved.
The whole process is hard, expensive, and time-consuming—for everyone.
This is where AI comes in. I genuinely believe AI can solve most, if not all, of the problems in the current accessibility ecosystem. But to see why AI is such a game-changer, we first need to take a closer look at the system we're working with now.
The Three Pillar System
Accessibility today is a three pillared system:
- Products need to be designed for accessibility.
- Those with impairments need access to accessibility technology.
- Legislation to enforce progress.
Assistive-Developed Products
First, the tech itself has to be built with accessibility in mind. Think about websites or apps—they need to work with tools like screen readers or voice recognition software so people with impairments (visual, hearing, motor, cognitive, or speech) can use them just like anyone else.
Assistive Technology
But even the best-designed tech won't help if someone doesn't have access to the tools that make it usable. Assistive technologies like screen readers, magnifiers, or voice input systems are often built into the operating system being used but typically lack the advanced capability found in third-party software.
Legislation
Finally, there's the legal side. Because accessibility is often seen as 'nice to have' instead of essential, governments are stepping in to push companies to comply. In the U.S., accessibility is (slowly) becoming legally required. But the standards aren't always clear, leaving companies stuck debating whether something is accessible enough.
Why It's Not Working
Making products accessible is a lot of work. It slows down timelines, costs more money, and demands extra expertise. As a result, many companies treat it like an optional bonus instead of a priority. The laws meant to enforce accessibility help, but they're inconsistent and reactive.
Disruption
Now, let's flip the script. Imagine you're someone with an impairment. You don't have specialized software, your favorite apps weren't designed with accessibility in mind, and you can't afford the latest assistive tech. What do you do? Most likely, you'd ask someone for help.
AI has the potential to be exactly that. It can already understand and respond to us in natural language. So why couldn't it also handle the tasks we'd normally rely on assistive software or tools for?
- No need for specially designed software. AI can interact with existing apps and websites, making them accessible without extra development.
- No steep learning curves. You don't need to learn how to use a new tool—just talk to the AI like you would to a friend.
- Less reliance on laws. If AI can solve these problems from the start, we wouldn't need legislation to force companies to act.
Accessibility has always been a challenge, but AI gives us a chance to simplify things in a way that works for everyone. By cutting out the complexity and making technology easier to use, we can finally start breaking down the barriers that so many people face.