Teaching Mathematics with Gen AI

Since the spring of 2024, when I first started exploring the utility of GenAI in teaching, the capabilities of GenAI tools have seen leaps in performance with respect to mathematical accuracy and clarity. In this talk, I will discuss GenAI-focused classroom assignments that I developed for an upper division undergraduate math course; classroom preparation with GenAI for a beginning graduate course in machine learning; and my evolving relationship with GenAI classroom policy and disclosures. The classroom assignments were given in Fall 2025 in Numerical Linear Algebra and Optimization, and the class preparation use cases for the Mathematics of Machine Learning in Spring 2026 include lecture preparation, in-class worksheets, and demo Jupyter notebooks. These latter materials are often produced in tandem with both Claude Opus and ChatGPT. My experiences in using GenAI for teaching since 2024 have influenced both how I instruct and advise students in GenAI usage, but also how I approach disclosures myself. I’ll discuss my experiences, and current policies and practices, and I look forward to hearing from the audience as well.