Generative AI Meets Accessibility: Benchmarks, Breakthroughs, and Blind Spots with Joe Devon

About this episode

Joe Devon discusses the impact of generative AI on digital accessibility and the importance of inclusive design.

Summary  In this episode Joe Devon, co-founder of Global Accessibility Awareness Day (GAAD), talks about how generative AI can both help and harm digital accessibility — and what it will take to tilt the balance toward inclusion. Joe shares his personal motivation for the work, real-world stakes for disabled users across web, mobile, and developer tooling, and compelling stories that illustrate why accessible design is a human-rights issue as much as a compliance checkbox. He digs into AI’s current and future roles: from improving caption quality and auto-generating audio descriptions to evaluating how well code-gen models produce accessible UI by default. Joe introduces AIMAC (AI Model Accessibility Checker), a new benchmark comparing top models on accessibility-minded code generation, what the results reveal, and how model providers and engineering teams can practically raise the bar with linters, training data, and cultural change. He closes with concrete guidance for leaders, why involving people with disabilities is non-negotiable, and how solving for edge cases makes AI—and products—better for everyone.  Announcements  Hello and welcome to the AI Engineering…

People in this episode

Host: Tobias Macey

Guest: Joe Devon

Topics covered

• generative AI
• accessibility
• digital inclusion
• AI Model Accessibility Checker
• human rights
• design

Keywords

• generative AI
• accessibility
• AI Model Accessibility Checker
• digital inclusion
• human rights
• caption quality
• audio descriptions

Mentioned in this episode

Organizations: Global Accessibility Awareness Day

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