Advancing Web Accessibility: Leveraging Generative AI for Enhanced WCAG Compliance

Abstract

The demand for present-day web applications to stick to the Web Content Accessibility Guidelines (WCAG) has emerged as an urgent matter for developers and establishments internationally. Adherence to these standards not only promotes user inclusivity but also satisfies legal and ethical responsibilities.However, the quest for holistic accessibility poses significant challenges: numerous developers lack expertise in the principles of accessible design, manual assessments can be resource intensive, and the continuously evolving frameworks require frequent updates. In this research, we investigate how these innovative AI solutions can accelerate the adoption of WCAG compliant practices by automating routine evaluations, offering advanced refactoring methodologies, and training developers in real-time. We conclude by highlighting potential directions for future inquiry, including the need for dynamic AI-driven accessibility assessments, deeper integration with coding environments and collaborative platforms, and ongoing efforts aimed at enhancing generative models for inclusive, user-centric design