Perspectives on AI from IT staff at UBC

This event is part of a biweekly forum on how AI is changing mathematical research, teaching, and the profession, and on what mathematics contributes to AI. Organized by PIMS and the UBC Department of Mathematics, it is informal and experience-based: short presentations followed by open discussion, including what has not worked. Topics include AI tools in research practice, formalized mathematics and machine-assisted proof, teaching and assessment, authorship and disclosure, and the mathematical foundations of trustworthy AI. Open to faculty, postdocs, and graduate students in the mathematical sciences and neighbouring fields at UBC, with sessions hybrid so colleagues across the PIMS network can take part. 

Organizers: Deanna Needell, Andrew Rechnitzer, Özgür Yilmaz.

Abstract:

We will talk about the impact of LLM's and AI from a staff perspective. We will cover some of the terminology and how it maps on to policies and practices at an institution like UBC (using UBC an example, not everything will be UBC specific). We will also cover some local tools we have developed and implemented and some others that we have planned. 

To join this seminar virtually, please register here.