AI in Higher Ed — What’s Changing & How to Build Better Assessment

Featuring: Tina Austin
AI Strategist & Educator | UCLA & OpenAI Faculty Innovator

Tina Austin is a widely recognized thought leader in AI education, with over 12,000 professional followers on LinkedIn. She teaches AI ethics across biomedical research, computational biology, and communication, and her pioneering work in integrating AI into teaching since 2022 has reshaped how educators approach bias, pedagogy, and assessment.

Her work is featured on OpenAI’s website, and she was awarded a UCLA–OpenAI EDU License through a competitive proposal process. In 2025, she was recognized by ASU+GSV as one of the top AI innovators in education. Tina is also the creator of #UnBlooms, a framework that reimagines Bloom’s Taxonomy for the AI era—helping educators design meaningful, AI-resilient learning experiences.

Key Questions She’ll Explore in her Speech:

• What are the biggest AI misconceptions holding educators back?
• Where do faculty often get AI wrong—and what’s the real impact on students?
• What are the top AI use cases and frameworks that actually work?

Why Should You Attend?
This isn’t another generic AI talk. You’ll walk away with fresh perspectives on AI in higher education and actionable insights you won’t find in mainstream discussions.

🗓 Date & Time: Friday, October 17, 2025, 12:00 PM (Pacific Time)
📍 Location: Online via Zoom
🔗 Join Here: https://shorturl.at/4EQVf
💻 Meeting ID: 818 7517 2828
🔑 Passcode: 251472

Pre-Webinar Survey:
If you plan to attend, please take a moment to complete this short survey to help our speaker tailor her session:
👉 https://forms.gle/BLaj6Fwsh7uXQRwWA