TUCSON, AZ—On Feb. 14, at the AANA Assembly of Didactic and Clinical Educators, Jose D. Castillo III, Ph.D., CRNA, APRN, FAANA and Gwen Williams, CETL, MS Computer Information Systems and Educational Computing, led an insightful presentation titled "Unlocking Learning: Mastering AI Integration in Nurse Anesthesiology Education." The session explored innovative ways to incorporate artificial intelligence (AI) into nurse anesthesiology education, equipping educators with techniques to identify student AI usage, prevent misuse, and integrate AI tools to enhance learning outcomes. With a rapidly evolving technological landscape, Dr. Castillo and Mrs. Williams emphasized the need for proactive adaptation, ensuring AI serves as an asset rather than a challenge in academic settings. Nurse anesthesiology educators and program leadership in attendance gained insight into Resident Registered Nurse Anesthetists’ perceptions of AI use, practical strategies for leveraging AI in assignments, customizing tools to align with learning objectives, and fostering ethical AI use in student work. The presenters also provided valuable resources to help faculty navigate AI-powered teaching and learning environments effectively. Their session underscored AI’s potential to transform nurse anesthesiology education while reinforcing the importance of clear guidelines and ongoing professional development. The presentation was met with enthusiasm, sparking multiple discussions on the current and future of AI-driven education in anesthesia programs nationwide.