Generative AI for Teaching and Learning: An Opportunity or a Threat?
Downtown Library: Multi-Purpose Room
If done right, Generative AI technologies such as ChatGPT or BARD have the potential to revolutionize the teaching and learning process. But what does “done right” even mean? Join us on a discussion with students, teachers, and experts in generative AI, to discuss the opportunities and challenges of this new AI technologies. Can they help students with better and more diverse learning experiences? Or can they help educators create more effective, personalized educational opportunities? Education-wise, are we on the path to “idiocracy” or is this a chance for us to become even better and more educated than we’ve ever been?
Rada Mihalcea is the Janice M. Jenkins Professor of Computer Science and Engineering at the University of Michigan and the Director of the Michigan Artificial Intelligence Lab. Her research interests are in computational linguistics, with a focus on lexical semantics, multilingual natural language processing, and computational social sciences.
Kevyn Collins-Thompson is an Associate Professor of Information and Computer Science at the University of Michigan, where he is also Director of the Masters in Applied Data Science program. His research explores algorithms and systems for optimally connecting people with information, particularly at the intersection of AI and education.
Zara M. Burzo is a freshman at Skyline Highschool in Ann Arbor. She enjoys reading, writing, traveling, learning languages, tennis, and chess. Her first encounter with coding was learning binary at the age of 5 in the sand at a beach in Mexico. Zara has taken coding classes and also helped teach them — she is also currently taking AP Computer Science Principles at Skyline.
This event is in partnership with the Artificial Intelligence Lab at the University of Michigan.