ChatGPT and similar programs are large language models that can generate responses that sound like ordinary speech. They were trained on a massive dataset of internet text to learn patterns and relationships in language. Using input prompts, they can answer questions, summarize text, generate a syllabus, outline the steps in a research project, and myriad other natural language processing tasks. These large language models can also create fake cases and repeat inaccurate or misleading information.
The Law Library has created an excellent guide to these issues. It has information about the science of AI, how it might be useful for teaching, and covers ethics issues.
The University has issued guidance about generative AI and teaching. The University’s guidance focuses on risk management and similar issues, but also contains some basic guidance for faculty. The Center for Innovation in Teaching and Learning has a helpful site that addresses many of the emerging issues. The Department of Education also has a page on AI and teaching.
Other universities have published general introductions to these issues that may be useful to instructors.