The rise of large language models (LLMs) has introduced new tools that can enhance student productivity. While LLMs can explain complex topics in easy-to-understand language and act as a learning resource, there are concerns about their potential to reduce cognitive workload and enable academic dishonesty. In this presentation, I will share survey data on student usage of LLMs and the effectiveness of AI detectors. Additionally, we will share our experiences with LLM in the classroom. The end product of the discussion will be a potential AI policy we can all use.
