Faculty Purview on AI in the Classroom

Generative AI are large language models that use machine learning software to understand, analyze, and generate human-like media (text, photos, videos).

Generative AI may be included in tools such as grammar checkers and translation software in addition to explicit AI tools.  Faculty might wish to make these nuances clear in their syllabus.  The major concern is when students submit content that is generated by these tools in such a way that it appears to be student work.

There is no one correct way to use, or decline to allow, generative AI in a course. Each individual instructor shall decide what makes sense for their own classroom based on their discipline, teaching philosophy, and what they determine to be in the best interest of their students’ learning.  

It is up to the faculty how, if at all, generative AI is used in the classroom and if allowed in student assignments. Faculty must communicate this intention to students in the syllabus to provide full transparency and documentation in cases of academic dishonesty.   

This is a fluid document and will be updated as generative AI evolves.  Below are suggestions for approaching this conversation with your students, depending on your individual policies.

Note: Sample Syllabus Statements taken from Sonoma State University and adapted for CCSF.