Primary speaker:
Jose Manuel Lopez Lujan, Senior Manager, AI Strategy & Platforms
Kanupriya Kejriwal, Manager, Risk Management
Description:
As AI tools become embedded in teaching, research and university operations, the greatest institutional risk may be not malicious, but rather well-intentioned users.
This session showcases AI literacy as a foundational security and trust strategy. While much attention focuses on prompt engineering and productivity, less discussion centers on data exposure, model bias and automation bias.
This presentation will explore what practical AI literacy should look like at U of T. Topics include:
- Understanding what should (and should not) be entered into generative AI tools
- Applying data classification principles in AI workflows
- Evaluating AI tools through a risk and privacy lens
- Learning opportunities and resources for the U of T community
Rather than positioning security as a gatekeeper, this session highlights how shared literacy empowers innovation. The presentation will be lecture style with a discussion.
