As generative AI rapidly reshapes higher education, faculty are looking for real, ethical, and practical ways to adapt. This session offers a firsthand look at how interdisciplinary courses at UCLA have successfully integrated AI—from biomedical sciences to humanities—while preserving academic integrity and improving student engagement. Attendees will explore proven strategies, tools, and frameworks used to empower faculty, redesign assignments, and support students in becoming critical users of AI. Whether you’re new to AI or leading the charge, this session delivers actionable ideas to help you teach more effectively, ethically, and with confidence in this new era.
Speaker/Host
Tina R. Austin is an educator and AI strategist who has spent decades teaching and consulting in higher education. Since 2022, she has been at the forefront of integrating AI into classrooms, teaching both graduate and undergraduate courses that span bioethics, regenerative medicine, social sciences, and gender studies. In addition to her teaching, she collaborates with colleges and universities worldwide as an AI consultant, helping educators and institutions navigate the evolving landscape of AI in education. Tina has led faculty development workshops across the country and was recently named one of ASU+GSV’s 2025 Leading Women in AI. Her mission is simple: to empower educators and students to use AI confidently, creatively, and responsibly.