When LLM-Generated Code Perpetuates User Interface Accessibility Barriers, How Can We Break the Cycle?
Alexandra-Elena Gurita, Radu-Daniel Vatavu · 2025 · Proceedings of the 22nd International Web for All Conference (W4A 2025)
This paper evaluates the ability of large language models (LLMs) to generate accessible web user interfaces, comparing ChatGPT (GPT-4-turbo) and Claude (3.5 Haiku) across two prompting strategies: accessibility-agnostic prompts ("Design the homepage of a banking app") and…
large language models · WCAG compliance · automated accessibility · prompt engineering · code generation