Communicating Course Policies and Talking with Students
Overview
As generative AI continues to shape the educational landscape, instructors are increasingly expected to make informed decisions about how these tools align with their pedagogical values and goals. Yet navigating this terrain can feel overwhelming. This resource aims to support you as you think through how to communicate clearly and constructively with students about GenAI. Drawing from guidance provided by Berkeley's Academic Senate, it offers a comprehensive overview of how to set expectations, open up dialogue, and foster a culture of transparency, integrity, and shared responsibility.
Communicating Your GenAI Expectations
Even if you haven’t finalized your stance on generative AI in your course, students are already wondering how (or if) they’re allowed to use it. They may come in with different assumptions about what constitutes appropriate use. Some may not even realize that tools like ChatGPT can raise questions about academic integrity. A clearly stated course policy on GenAI use helps ensure that students understand not only what is allowed, but also why. Policies are more effective when they are grounded in pedagogical reasoning and tied to the specific learning goals of the course. A transparent policy also reduces student anxiety, supports academic integrity, and allows space for students to reflect on the ethical and disciplinary dimensions of GenAI use.
In short, a good GenAI policy should not merely act as a set of rules but should invite students into a shared conversation about how, when, and why certain technologies can (or shouldn’t) be used in the service of learning.
Sample Language from Berkeley’s Academic Senate
The following sample syllabus statements have been provided by UC Berkeley’s Academic Senate. They span a range of approaches, from fully integrating GenAI into coursework to prohibiting it entirely. Instructors are encouraged to adapt these to their specific course context and instructional priorities.
Full AI
This is a GenAI-required course. Students will be required to use GenAI tools provided by the instructor to complete assignments. Students may also use other GenAI tools unless specifically prohibited. There may be assignments in this class (e.g., exams) where the use of GenAI is not permitted, and these will be clearly identified in the syllabus.
Some AI
This course enables limited uses of GenAI tools but also prohibits broad use of them in cases that would be considered plagiaristic if the tool’s output had been composed by a human author.
If unauthorized GenAI use on a particular assessment is suspected, the instructors may require you to complete a short, in-person examination orally or on paper, related to the content and skills tested in the original assessment.
Permitted use cases (examples):
- It may be used to perform research in ways similar to search engines such as Google, and for other functions attendant to completing an assignment.
- It may be used as a writing assistant in its capacity as a word processor, such as Word or Pages, i.e., for correcting grammar and spelling, and other functions like synonym suggestion.
- It may be used as translation software for consultation purposes; you should never present the GenAI translation as your own text.
- Copying any text directly from a homework or lab problem into a GenAI tool is considered cheating. Students, however, are permitted to break problems into steps and paraphrase those steps in their own words.
- When assignments in the course permit or incorporate the use of GenAI tools, the assignment will ask you to include an acknowledgement of your use of any type of GenAI in your submitted work and share the prompts and outputs utilized at the time of submission. The suggested format is as follows:
I acknowledge the use of [insert AI system(s) and link] to [specific use of GenAI]. The prompts used include [list of prompts]. The output from these prompts was used to [explain the use]. - GenAI tools may be used for [assignment types A, B, and C] with appropriate citation, but not for [assignment types D, E, and F].
Unpermitted use cases (examples):
- GenAI tools may not be used for any purpose in any exam situation.
- The use of GenAI tools such as ChatGPT or equivalent should not be used to summarize, generate, or interpret any thoughts present in any of your work. The software may not be used to compose any part of the submitted assignment.
- GenAI should never be employed for a use that would constitute plagiarism if the GenAI source were a human or organizational author.
- Having another person/entity do the writing of any substantive portion of an assignment for you is against academic integrity policies, and can include hiring a person or a company to write essays and drafts and/or other assignments, research-based or otherwise, and using GenAI tools.
No AI
In this course, we prioritize active engagement, students’ knowledge acquisition, and the development of critical thinking skills. To achieve these objectives, we have chosen to prohibit the use of any GenAI tools or automated services during class sessions and when completing assignments or exams. GenAI use is not permitted in any aspect of completing work that is part of an assignment, including brainstorming, drafting, analysis, editing, or generation of figures or images.
If unauthorized AI use on a particular assessment is suspected, the instructor may require you to complete a short, in-person examination orally or on paper, related to the content and skills tested in the original assessment.
The Academic Senate’s full guidance also addresses risks and limitations of GenAI, access to GenAI tools, citation guidance, and policy enforcement mechanisms. Read the full GenAI Guidance for Instructors.
AI Course Policy Examples from Berkeley Instructors
See how Berkeley instructors across disciplines are communicating expectations around AI in their courses.
MATH 52 (Calculus II) & MATH 74 (Transition to Upper-Division Mathematics)
Zvezdelina Stankova, Teaching Professor of Mathematics
Mathematics Department
Course level: Undergraduate
Class size: MATH 52: ~680 students, MATH 74: ~65 students
Statement appears in: Syllabus, bCourses, homework assignments
AI Statement: In this course, we prioritize active engagement, students' knowledge acquisition, and the development of critical thinking skills. To this end, GenAI tools are not allowed to answer polls and when completing exams and most HWs. In some HWs and investigative parts of the course, GenAI (or other online tools) will be specified to use in completing aspects of work, including calculations, analysis, or generation of figures or images. You can use AI tools for grammar, punctuation, and word-smithing on HWs, or for calculations only as specified in the HWs, but not for generating ideas and the structure of the solutions. You need to learn to use AI maturely and as a tool, not a replacement for active learning.
How to Conduct Benefit-Cost Analysis
Daniel Acland, Associate Professor of Research
Public Policy Department
Course level: Graduate
Class size: ~30 students
Statement appears in: Syllabus
AI Statement: ChatGPT and similar bots are powerful tools for research and can do a remarkable amount of data acquisition and analysis as well. I am a big proponent of using these tools to increase productivity. If you are not using them yet, you are falling behind, and for learning how to use them there is no substitute for getting on there and trying different things for hundreds of hours. However, two things:
- These bots are getting more accurate, but they make what ChatGPT itself calls “creative inferences.” You should confirm everything that goes into your deliverables. Also, not paying a modest sum for the most advanced version is a false economy.
- You may not use generative AI to do ANY writing whatsoever, including the earliest of rough drafts or the latest of copy edits. Not even one sentence, and not even to help you with English as a second language. Grammarly is fine. If you have any doubt about what you may use AI for, ask me first.
About this approach: I assume graduate students can take responsibility for their own learning and how AI affects it. I want them to use it because they have to do a lot of research and AI does a good job, these days, of finding stuff that is deeply buried. However, I deplore the use of AI for writing. Writing is part of understanding. If you can explain something in writing, you probably don't understand it yourself. Writing in my field is a way of disciplining your thinking.
Economics for Policy Makers
Daniel Acland, Associate Professor of Research
Public Policy Department
Course level: Graduate
Class size: ~50 students
Statement appears in: Syllabus
AI Statement: You may not use artificial intelligence of any kind on any part of this course, except for exam preparation. Use of AI on any quiz, resource collection assignment, or memo will be considered cheating. We will not attempt to enforce this rule, as we believe that is fundamentally impossible, but you need to understand that if you break this rule, you are cheating, and cheating is considered quite, quite wrong in this society.
About this approach: This class is about basic concepts and skills and how to apply them and communicate them. If they use AI to figure out how to analyze some policy, or communicate the analysis, they are not learning that for themselves. They need to learn how to do 100% of the work themselves. Among other reasons for this, if they do not understand the basics fully they will never be able to harness the power of AI as an assistant effectively and responsibly.
Talking with Students About AI
A written policy can set expectations, but students may still need help understanding what those expectations mean in practice. Because approaches to AI vary across courses, consider making time to explain not only what is permitted or prohibited, but also why you’ve taken that approach and how it connects to the learning in your course.
You might clarify:
- whether expectations vary across assignments
- what students should do if they are unsure whether a particular use is allowed
- how you want students to acknowledge or cite AI use
- what responsible use looks like in the context of your course
- where students can find campus guidance and licensed tools
The Vice Provost for Undergraduate Education has prepared An Incoming UC Berkeley Undergraduate Student’s Guide to AI: Best Practices & Tools, a student-facing resource on navigating course-specific AI expectations, using AI responsibly, finding campus-licensed tools, and accessing other Berkeley AI resources. You may want to share the guide with students as a starting point for conversations about AI use in your courses.