AI is everywhere these days, and digital accessibility is no different. Except for how it is different. Accessibility is fundamentally about people and how they use websites and apps, and making things easier (or even possible) for those who can't do that in the "standard" way.

So where does this leave us with AI and accessibility? Well, it certainly can be a useful tool in some situations, but less so in others. In this session we'll dive into what makes digital accessibility such a unique use case for AI, when and how you should use it, and when you definitely shouldn't.

I've been talking about accessibility for a while now, and suddenly all anyone wants to know is how AI is going to mean we never have to think about accessibility ever again, and isn't that great?!

I'm not so sure it is great, based on my experience with tools like Claude and the "accessible" code it generates. It also feels like we're removing the actual users, actual disabled people from the equation even more than they have been so far.

I'd like to walk people through why I see this as an issue, what appropriate use cases for AI might be regarding accessibility, and where it is and remains crucial to have the human element.