As textbook costs continue to be a barrier to student success, OER content and Zero Textbook Cost (ZTC) courses offer a powerful pathway toward greater access and equity. However, many faculty hesitate to adopt OER due to concerns about time, quality, missing ancillary materials, and the effort required to adapt open content for their specific courses. Generative artificial intelligence (AI) provides new opportunities to address these challenges in practical, instructor-centered ways. This interactive workshop explores how faculty can responsibly use generative AI tools to adapt, enhance, and extend existing OER to create high-quality, course-ready materials. Participants will learn how AI can support common instructional tasks such as generating lecture slides, assessments, rubrics, and learning activities aligned to course outcomes. Emphasis will be placed on starting with openly licensed content and using AI as a drafting and revision partner rather than a replacement for instructor expertise. Participants will also engage in guided reflection and peer discussion to identify where AI can reduce workload, replace publisher ancillaries, and support incremental movement toward ZTC adoption. Attendees will leave with reusable prompting templates, a clearer understanding of how AI and OER work together, and a practical framework for implementing AI-supported OER materials in their own teaching contexts.
