Discovery Series
The Office of the Vice-Provost, Innovations in Undergraduate Education (OVPIUE) is pleased to announce the Discovery Series for 2024-25. The Series aims to help bring together our teaching and learning community as well as to share learnings from initiatives, awards and grants supported by our office. Each session will bring together faculty and staff for an interdivisional conversation to discuss teaching and learning approaches and practices. Our office will offer three sessions each academic year in a hybrid format.
In designing this series, the OVPIUE positions itself as a learner rather than an expert in the field. We strive to engage with our teaching and learning community in an ongoing process of collective self-education and communication and as such welcome feedback, comments and additional support resources to help further our collective growth.
2024-25 Discovery Series Session I: AI Ethics Education
Monday 23 September from 1:00-2:30 p.m.
via Governing Council Chambers (in-person) or Microsoft Teams (online)
Our first session of the 2024-25 Discovery Series will explore a topic at the forefront of many discussions in academic units: how to address artificial intelligence (AI) within the context of student learning. In this session, we will explore two innovative projects that address the ethics of AI use. One team has embedded ethics trainings within their program courses to encourage students to assess the ethical implications of the technologies they are creating, while the other team asks students to consider academic integrity, the biases of AI and their disciplinary relationship with AI within the context of a larger writing and communications program.
Panelists:
- Shelia McIlraith, Professor, Department of Computer Science, Faculty of Arts & Science
- Diane Horton, Professor, Teaching Stream, Department of Computer Science, Faculty of Arts & Science
- David Liu, Associate Professor, Teaching Stream and Associate Chair, Undergraduate Studies, Department of Computer Science, Faculty of Arts & Science
- Steven Coyne, Assistant Professor, Teaching Stream, Department of Philosophy, Faculty of Arts & Science
- Effie Sauer, Associate Professor, Teaching Stream, Department of Physical and Environmental Sciences, University of Toronto Scarborough
- Kris Kim, Assistant Professor, Teaching Stream, Department of Physical and Environmental Sciences, University of Toronto Scarborough
- Marco Zimmer-De Iuliis, Associate Professor, Teaching Stream, Department of Physical and Environmental Sciences, University of Toronto Scarborough
Moderator: Karen Reid, Professor, Teaching Stream, Department of Computer Science, Faculty of Arts & Science, and Co-Chair, Teaching & Learning, Task Force on Artificial Intelligence
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