FACCC POLICY FORUM

AI in Higher Education: Promise and Peril

Join us on February 1, 2025 for our annual Policy Forum hosted by the FACCC Policy Committee. We will welcome two esteemed speakers for a Q&A discussion on the pros and cons and future outlook of AI in Higher Education. There will also be time for small group discussion on our own experiences with AI in our classrooms as well as a general session where we can share ideas for policy recommendations and advocacy as we navigate the era of AI that is already underway.

 SPEAKERS

Tak Auyeung

Tak started his fascination with calculators in 9^th grade when his wealthier classmates bought fancy programmable calculators. That started Tak's interest in "Can machines think?" Fast-forward to the 1990s. Tak's dissertation, "Stochastic Admissible Heuristic Search," was on a specific branch of Artificial Intelligence. To date, Tak has been teaching computer science courses at American River College for 24 years, developing and using OER. He also developed a GPT (Generative Pre-trained Transformer) based subject-specific tutor for students in one of his courses. Tak's current interests include the utilization of GPT and cognitive science to create tutors that help students develop effective study skills and habits. 

Anna Mills

Mills has taught writing in community college settings for 18 years and is currently teaching at College of Marin. As a consultant for OpenAI, she was the only education specialist recruited to test GPT-4 pre-release and report on educational impacts.  Her writing on AI is published in The Chronicle of Higher Education, Inside Higher Ed, and Computers and Composition. As a member of the Modern Language Association/Conference on College Composition and Communication Task Force on Writing and AI, she helps shape responses within her discipline. Mills is the author of the open educational resource textbook How Arguments Work which has been adopted by more than 65 colleges. She is an advisor for MyEssayFeedback.ai, a teacher-created app, and for the AI Pedagogy Project and the NIST U.S. AI Safety Institute MLA team.