WebAccessBench: Digital Accessibility Reliability in LLM-Generated Web Interfaces

Introducing WebAccessBench, a novel benchmark for AI language models to assess accessibility quality and WCAG conformance in generated web interfaces under realistic prompting conditions.Overall data shows that guiding a model with expert-grade prompts has very little effect over a small nudge. The benchmark results suggest that objective error count is too high to rely on LLM technology at all in digital accessibility work, even under explicit expert guidance. It also suggests massive implications for society at large, and major discrimination of people with disabilities.