University at Buffalo (UB)
Empowering Instructors | Supporting Excellence
Making Course Content Accessible with AI: Title II Readiness
This self-enroll UB Learns resource explores how AI-powered tools can assist faculty in improving the accessibility of digital course materials. It highlights practical ways to use Copilot or other generative AI tools to review, revise, and enhance course content with accessibility in mind.
Making Course Content Accessible with AI: Title II Readiness is a free, self-paced, problem-focused, solutions-based resource from the University at Buffalo that helps faculty and staff solve common digital accessibility challenges through adaptable AI-assisted workflows. The resource is tool agnostic, and it equips educators with transferable workflows, prompting strategies, and decision-making processes that can be applied across current and emerging AI platforms.
Organized around common accessibility challenges, the resource demonstrates practical, iterative workflows for creating accessible instructional materials, including documents, presentations, multimedia, images, tables, equations, and LaTeX-based content. The resource provides practical guidance for evaluating, refining, and improving AI-generated outputs to create high-quality, accessible learning materials that support Title II digital accessibility requirements.
Recognized in the 2026 EDUCAUSE Horizon Report, this resource equips educators with practical, iterative AI-assisted workflows that support inclusive teaching and Title II digital accessibility.
Move through the resource at your own pace and immediately apply strategies in your own courses and instructional materials.
Making Course Content Accessible with AI: Title II Readiness equips educators with practical, iterative AI-assisted workflows that support inclusive teaching and Title II digital accessibility.
Designed for real teaching environments with limited time, it focuses on improving course content in ways that align with inclusive teaching practices and evolving compliance expectations.
A new section offers a structured approach to reviewing, refining, and validating AI responses so they better align with instructional and accessibility goals.
The PDF section now includes clearer decision pathways, targeted prompt options, and practical validation guidance to support a more efficient move from source materials to accessible, instructionally effective content.