Generative AI is driving change in classrooms across every subject, and statistics classrooms are no exception. This interactive workshop invites participants to critically examine the potential and pitfalls of integrating AI into their teaching practice. The focus will be on practical use, ethical considerations, and data privacy. Sessions will include discussion and showcase current use-cases to motivate the hands-on activities where participants will use AI tools to create teaching resources and learn to programmatically interact with generative AI models. Both cloud-based and locally hosted large language models (LLMs) will be used. Code templates, instructions, and links to resources will be provided; your exploration of AI does not need to end when the workshop does. In fact, it may have just started!

This workshop will be run jointly with the Data Science and Analytics Section Workshop "AI and LLMs - Research Perspective" in the morning to provide a common, foundational introduction to working with LLMs before splitting off in the afternoon to cover independent material.