Location: Room 1140 – Pavilion André Aidenstadt – 2920 chemin de la tour – Université de Montréal
(Building 19 on the UdM Map)
In-Person Session
For the third year of our collaborations as the Digital Performance Working Group we will focus our in-person seminar as a teach-in on how to engage AI within the performance studies classroom. This will consist of a teach-in where members of the group will individually present 10-15 min presentations on how they engage AI through teaching exercises, reflections on in-the-class experiences with using AI, and interventions into prevailing debates around the uses and dangers of AI for learning. We will invite the audience to participate in discussion throughout and build together a set of resources for future sharing.
Members of working group 2023-2024 – Kim McLeod (Assistant Professor, University of Guelph); Shana MacDonald (Associate Professor, University of Waterloo); Michael Wheeler (Assistant Professor, Queen’s University); Laura Levin (Associate Professor, York University); Peter Kuling (Assistant Professor, University of Guelph); Sebastian Samur (Postdoctoral Fellow, University of Toronto); Catherine Quirk (Lecturer, Edge Hill Univeristy UK); Jayna Mees (PhD Student, York University); Naomi Bennett (Instructor, Louisiana State University); Tara Harris (PhD Candidate, York University); Michael Bergmann (PhD Student; University of Toronto); Mark Lipton (Professor, University of Guelph); Taylor Graham (PhD Candidate; University of Guelph)