11am – 12pm | Powell 86G
What to Expect in this Showcase
AI is everywhere in education, but what’s really working and in what disciplines? What’s just hype? And what’s missing from the conversation? This session peels back the curtain on how AI is transforming teaching, where it’s helping, and where it’s failing.
Key Questions We’ll Explore:
- What are the biggest AI misconceptions that are holding educators back?
- Where may faculty get AI wrong, and what’s the real impact on students?
- The top AI use cases that no one is talking about—but should be.
Why You Should Come:
This is not another generic AI talk. You’ll walk away with a new perspective on AI in higher education and insights you won’t find in mainstream discussions.
Presenter’s Bio:
For the past four years, UCLA lecturer Tina Austin has been teaching AI ethics across biomedical research, computational biology, and communication. Recognized consecutively for contributions to AI innovation and education, Tina has worked to integrate AI across many disciplines, focusing on AI and bias while developing teaching strategies, custom AI tools, and faculty training programs since 2022. In 2024, Tina was awarded a UCLA-OpenAI EDU License through a competitive call for proposals and has led faculty development workshops. In 2025, she was recognized by ASU-GSV as a leading AI innovator. Her goal is to empower her students by finding their unique strengths while seeing AI’s benefits and pitfalls.