Accessibility and AI

What AI gets right about accessibility, what it gets dangerously wrong, and how teams should actually use it.

All industries are looking for ways they can leverage AI, accessibility included. Vendors are promising fully automated testing and remediation, and teams under pressure are hoping it’s going to solve all their problems.

Talks in this theme look at what large language models get right about accessibility, and things that go terribly wrong. Inconsistencies, hallucinations, incorrect code, and the human cost of outsourcing empathy to a machine. It includes real tests of popular AI tools, against a variety of different scenarios regarding accessibility.

What people are saying about this talk

Craig was an exceptional speaker to have at our first Access:Given. He was very tolerant and patient with our teething problems, and was ever-professional.

He delivered a completely engaging talk, with slides that were readable from the back of the room. He kept to the time allocated to him, and was really, really easy to deal with before, during and after.

Both Ellen and I are more than happy to vouch for him and would easily work with him again.

Michelle O’Connor, Co-founder Access:Given

Topics I cover

  • What LLMs actually do well for accessibility work today
  • Where AI tools give confidently wrong answers, with real tested examples
  • The human cost of automating accessibility, and who pays it
  • The questions to ask before wiring AI into your accessibility process

Talk titles

  • AI and Human Centred Accessibility
  • Should you use LLM’s for accessibility?

Recordings

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