Table 2: Learning as We Go: Building Open Content for Writing Instruction in the Age of AI

Discover how a Texas consortium empowered writing instructors with practical, freedom-respecting strategies for integrating generative artificial intelligence (GenAI), fostering student success through a community of practice. Led by the associate dean for assessment and curriculum in the College of Arts & Sciences at Texas A&M University, this initiative has grown to include more than thirty faculty and graduate students from various Texas institutions over the past four years. We will examine our "trust imperative" framework that helps instructors navigate integration, restriction, or selective GenAI applications while maintaining a clear educational rationale. Participants will engage in collaborative problem-solving around real challenges: varying student familiarity, conflicting GenAI messages, and institutional culture differences. This session will offer transferable strategies for building sustainable faculty support systems in AI-enhanced education, emphasizing both successes and obstacles encountered in this rapidly evolving landscape.