Evaluation methodology assesses AI-generated interface accessibility, suggesting improvements for design teams.
AITL is an evaluation methodology for the accessibility of AI-generated user interfaces. It applies the AI-Generated Interface Accessibility Assurance Framework (AIAAF): a six-dimension rubric (the four WCAG principles, plus assistive-technology behavior and a taxonomy of generative failure patterns), an element-level scoring method with a severity-driven release gate, and a process for returning results as actionable upstream signals for design teams and tool-makers. Version 0.1 is an early-stage working draft; a companion worked example, two working reference tools (an evaluator and an automated scanner), and an MCP server for in-loop integration with AI assistants are maintained at the project repository.
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Ifeoluwa Orimolade (2026) studied this question.
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