This page provides suggestions on how you could possibly format your AI policy statement and connect you to resources to help you determine the best fit for your classroom expectations. The library does not participate in syllabus creation or standards, if you have questions on syllabus development, please reach out to Faculty Collaborative for Teaching Innovation.
Santa Clara University currently does not have a campus wide AI policy. Faculty are encouraged to determine how AI tools and systems are utilized in their classrooms and communicate this to their students. This can be a daunting task, especially if you are not very familiar with AI; however, by not having an AI statement in your syllabus you create ambiguous expectations for students which can lead to misunderstandings and stress.
When creating your AI statement, your goal is to be as clear and direct as possible to avoid ambiguity. Much like when conducting research, start broad, then hone in on what's most important. Consider your starting question, is the use of generative AI tools/systems permitted in your course?
If you wish to allow the usage of AI in your course, consider creating sample situations that students can be expected for AI to be applied. Here are a few examples that could be included in your policy statement:
In addition to supplying students with examples on how generative AI may be used in the course, explore adding parameters to your AI policy. The following are some parameters you can consider including, in some form, of your statement:
No, generative AI tools/systems are not permitted in your course.
If AI usage is not permitted in your course, communicate your reasoning to your students. The following are examples of some reasons you can include or modify:
NOTE: Some students use generative AI for self-study outside of the classroom. If you believe this type of usage infringes on the expectations you have for students in your class, encourage students to speak with you directly to ensure their self-study does not interfere with graded or ungraded work.
Information in this section was inspired by an internal resource from Southern Methodist University. For more information on this resource, please email Sophia Mosbe at smosbe@scu.edu.