Towards Inclusive AI: Developing a W3C-Inspired Accessibility Benchmark for Large Language Models
Ensuring that the benefits of advanced AI are accessible to all is a critical aspect of responsible development. Our paper, “Towards Inclusive AI: Developing a W3C-Inspired Accessibility Benchmark for Large Language Models,” addresses the vital need for accessibility in Large Language Models. Drawing inspiration from the established W3C Web Content Accessibility Guidelines, this research introduces a comprehensive benchmark for evaluating and improving the accessibility of AI systems, promoting inclusivity in the AI era.
- Read the full paper on ResearchGate: [Link to "Towards Inclusive AI: Developing a W3C-Inspired Accessibility Benchmark for Large Language Models" Paper]