As generative AI continues to impact higher education, UBC faculty across both Vancouver and Okanagan campuses are thoughtfully exploring its implications for teaching and learning. Join us for a day of critical discussion, evidence sharing, and collaborative learning about the opportunities and challenges that Generative AI presents in our academic environment.
This symposium brings together diverse perspectives and experiences from across our university community, structured around three key sessions:
- Opening Panel: Moderated by UBC President Benoit-Antoine Bacon, exploring fundamental questions about Generative AI’s role in higher education and its implications for teaching excellence
- Presentation of recent UBC student survey data: Providing insight into how our students are engaging with these tools
- Faculty Lightning Talks: Showcasing concrete examples of GenAI integration, lessons learned, and emerging best practices
Symposium Schedule
9:00 – 10:00 am | Opening Panel Hosted by UBC President and Vice-Chancellor Benoit-Antoine Bacon |
10:00 – 10:30 am | Coffee Break |
10:30 am – 12:00 pm | Faculty Lightning Talks: Exploring Generative AI’s Impact on Teaching and Learning Facilitated by Andrew Owen, Associate Professor of Teaching, Political Science |
12:00 – 1:00 pm | Lunch |
1:00 – 2:00 pm | Presentation of Student Data |
2:00 – 2:30 pm | Coffee Break |
2:30 – 4:00 pm | Faculty Lightning Talks: Exploring Generative AI’s Impact on Teaching and Learning Facilitated by Andrew Owen, Associate Professor of Teaching, Political Science |
Meet the panelists
Vered Shwartz
Vered Shwartz is an Assistant Professor of Computer Science at the University of British Columbia and a Canada CIFAR AI Chair at the Vector Institute. Previously, she was a postdoctoral researcher at the Allen Institute for AI (AI2) and the University of Washington. Vered’s research focuses on natural language processing, with the fundamental goal of building models capable of human-level understanding of natural language. In particular, she is interested in computational semantics and pragmatics, commonsense reasoning, multimodal models, and culturally-aware NLP models.
Muhammad Abdul-Mageed
Muhammad Abdul-Mageed is a Canada Research Chair in Natural Language Processing and Machine Learning, and Associate Professor at the University of British Columbia. He is cross-appointed between the Department of Linguistics and School of Information and holds a courtesy appointment in Computer Science. His research focuses on large language models in multilingual contexts, with a goal to innovate more equitable, efficient, and ‘social’ machines for improved human health, more engaging learning, safer social networking, and reduced information overload.
Bryce Traister
Bryce Traister is a professor of English literature, specializing in American literary, cultural, and religious history. He has served as the Dean of UBC Okanagan’s Faculty of Creative and Critical Studies since 2017. During this time, he has championed the value and role of the arts, creative practices, and knowledge production in and for the local communities of the greater Okanagan and beyond. He has been particularly engaged in the last two years in understanding the impact of artificial intelligence on creative arts and humanities education.
Kurtis Wilkinson
Based in San Francisco, Kurt Wilkinson is a 2009 alumnus from the Sauder School of Business at UBC. Kurt is on the leadership team of NinjaTech AI, which has partnered with Stanford Research and AWS to build AI agents for work. Prior to NinjaTech, Kurt spent nearly 10 years at Google focused on market expansion for new products, and five years at Accenture as a consultant. Kurt is also an active startup investor and non-profit board member.
Naznin Virji-Babul
Naznin Virji-Babul is a physical therapist, neuroscientist and Associate Professor in the Dept. of Physical Therapy, Faculty of Medicine at the University of British Columbia, Vancouver, Canada. Her laboratory is based at the Djavad Mowafaghian Centre for Brain Health. She is also the Director of Interdisciplinary Research in the Office of the Vice-President, Health. Naznin’s research combines advanced neuroimaging techniques with machine learning and deep learning models to study brain dynamics, particularly in concussion/traumatic brain injury. She has led interdisciplinary research projects on AI-driven classification of concussions using raw, resting-state EEG data.
Kamil Kanji
Kamil Kanji is a final year Honours Political Science and International Relations student in the Faculty of Arts at the University of British Columbia. He has served as Vice-President, Academic and University Affairs of the Alma Mater Society at UBC, the largest student union in the country. In this role he served as Co-Chair of the UBC Generative AI Advisory Committee where he along with several others worked to develop UBCs first set of guidelines around the use of generative AI. Kamil has also served as a 3-term elected student Senator on the UBC Vancouver Senate where he has been Vice-Chair of the Senate, Vice Chair of the Academic Policy Committee, Chair of the Budget Sub-Committee and Chair of the Agenda Committee. He has worked in these roles to advance policy and culture around the better integration of AI into teaching and learning activities.
Recommended readings: Preparing for the Symposium
Ahead of the symposium, we invite you to explore the following articles, each offering unique perspectives on the opportunities, challenges, and ethical considerations surrounding GenAI.
Challenging the Myths of Generative AI
This article from Tech Policy Press critiques common misconceptions about GenAI, debunking claims about its capabilities and limits. It encourages readers to think critically about the societal implications of this technology, such as bias, misuse, and accountability.
Resources on Refusing, Rejecting, and Rethinking Generative AI in Writing Studies in Higher Education
This resource from higher education experts features texts that informs readers about GenAI refusal and the rejection of GenAI tools in higher education classrooms, particularly writing and literacy courses.
15 times to Use AI (and 5 Not To)
This guide from One Useful Thing offers insights into when GenAI tools are most effective and when their use can lead to pitfalls. It provides actionable advice on leveraging this technology’s strengths while avoiding its shortcomings.
I Quit Teaching Because of ChatGPT
This article from Time Magazine, written by a teacher grappling with the rise of GenAI in education, explores the impact of such technology on teaching, learning, and academic integrity. The author shares practical strategies for embracing AI as a tool rather than a threat.