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There are three levels of designing for GenAI: restrict, permit, require. 
Restrict [This syllabus statement is useful when you are allowing the use of AI tools for certain purposes, but not for others. Adjust this statement to reflect your particular parameters of acceptable use. The following is an example.] 
Example1:  

The use of generative AI tools (e.g. ChatGPT, Dall-e, etc.) is permitted in this course for the following activities:

[insert permitted your course activities here*]


The use of generative AI tools is not permitted in this course for the following activities:

[insert not permitted your course activities here*]


You are responsible for the information you submit based on an AI query (for instance, that it does not violate intellectual property laws, or contain misinformation or unethical content). Your use of AI tools must be properly documented and cited in order to stay within university policies on academic integrity and the Spartan Code of Honor Academic Pledge.

Example2: Taken, with slight modification, from Temple University’s Center for the Advancement of Teaching  to demonstrate the kinds of permitted/restricted activity an instructor could denote.
The use of generative AI tools (e.g. ChatGPT, Dall-e, etc.) is permitted in this course for the following activities: 









Brainstorming and refining your ideas; 
Fine tuning your research questions; 
Finding information on your topic; 
Drafting an outline to organize your thoughts; and 
Checking grammar and style. 









The use of generative AI tools is not permitted in this course for the following activities: 









Impersonating you in classroom contexts, such as by using the tool to compose discussion board prompts assigned to you or content that you put into a Zoom chat. 
Completing group work that your group has assigned to you, unless it is mutually agreed within your group and in alignment with course policy that you may utilize the tool. 
Writing a draft of a writing assignment. 
Writing entire sentences, paragraphs or papers to complete class assignments. 









You are responsible for the information you submit based on an AI query (for instance, that it does not violate intellectual property laws, or contain misinformation or unethical content). Your use of AI tools must be properly documented and cited in order to stay within university policies on academic integrity and the Spartan Code of Honor Academic Pledge. For example, [Insert citation style for your discipline. See these resources for APA guidance, and for other citation formats.]. Any assignment that is found to have used generative AI tools in unauthorized ways [insert the penalty here*]. When in doubt about permitted usage, please ask for clarification. 
 
Permit [This syllabus statement is useful when you are allowing, and perhaps encouraging, broad use of generative AI tools. Adjust this statement to reflect your particular parameters of acceptable use in your course. The following is an example.] 
Example:
You are welcome to use generative AI tools (e.g. ChatGPT, Dall-e, etc.) in this class as doing so aligns with the course learning goal [insert the course learning goal use of AI aligns with here*]. You are responsible for the information you submit based on an AI query (for instance, that it does not violate intellectual property laws, or contain misinformation or unethical content). Your use of AI tools must be properly documented and cited in order to stay within university policies on academic integrity and the Spartan Code of Honor Academic Pledge.
Require [This syllabus statement is useful when you have certain assignments that will require that students use generative AI tools. Adjust this statement to reflect your particular parameters of acceptable use. The following is an example.] 
Example:
You will be expected to use generative AI tools (e.g. ChatGPT, Dall-e, etc.) in this class as doing so aligns with the course learning goal [insert the course learning goal use of AI aligns with]. Our class will make use of the [insert name of tool(s) here*] tool, and you can gain access to it by [insert instructions for accessing tool(s) here*]. You are responsible for the information you submit based on an AI query (for instance, that it does not violate intellectual property laws, or contain misinformation or unethical content). Your use of AI tools must be properly documented and cited in order to stay within university policies on academic integrity and the Spartan Code of Honor Academic Pledge.
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How can generative AI technologies assist with collaborative, integrated, and interdisciplinary work in the classroom?  
What is the appropriate use of generative AI in the subject-area and/or discipline to advance scholarship and maintain excellence?  
What are the current uses, concerns, and dialogue relative to generative AI within the subject and/or discipline?  
How will generative AI affect the unit/major/courses’ content, assignments, instructional objectives, learning outcomes, or assessment models? Might these outcomes need to change to account for AI technology?  
How will generative AI influence job growth, skills, and responsibilities in the future? 

To help facilitate this work, the Center for Teaching and Learning Innovation (CTLI) and the Enhanced Digital Learning Initiative (EDLI) will be producing resources, offering workshops, and facilitating discussions throughout the year.Photo by charlesdeluvio on Unsplash

Strategies for Designing Assessments in the Age of AI by Jay Loftus
 
Photo by Steve Johnson on Unsplash

Title: Exploring the Social Change Wheel: Approaches, Tools, and Techniques for Incorporating Community Engaged Teaching and LearningPresenters: Stephanie Brewer; Michelle Snitgen, Center for Community Engaged LearningFormat: WorkshopDate: May 11th, 2023Time: 2:45 pm - 3:45 pmClick here to viewDescription:Community Engaged Learning is a teaching and learning strategy that integrates meaningful community partnerships with instruction and critical reflection to enrich the student learning experience, teach civic and social responsibility, and strengthen communities. This session will focus on connecting course objectives to creative experiential strategies for engaging students in social change. Through presentation and discussion, attendees will explore the Social Change Wheel, an equity-centered framework, which can help faculty practitioners develop a broad definition of community engaged learning. Come and explore the possibilities of integrating meaningful community partnerships into course design, wherein students deepen their understanding of course content through social change strategies, including philanthropy, advocacy, design-thinking, community organizing and more!

The determination of appropriate uses for generative AI can be facilitated through discussion with colleagues within and among disciplines. Discussions that can help our communities to answer 

What is the ethical use of AI in society, in a given scholarly discipline, and in instruction?  
How does generative AI pose ethical challenges to issues such as data security and privacy?  
What types of information should and should not be inputted into an AI system?  
When does generative AI-assistance become AI-ownership? What are the limits to using generative AI in support of academic work?  
How should a student cite or disclose the use of generative AI relative to their academic work?  
How does the course/instructor define plagiarism and academic dishonesty relate to AI? What are the penalties for not following the policy? Many of philosophies and policies outlined on the OSSA Academic Integrity website already apply, and additional specific guidance is available on FAQs specifically addressing generative AI. 

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The following MSU-specifics should be used to inform your decisions...
Overall guidance: We collectively share the responsibility to uphold intellectual honesty and scholarly integrity. These are core principles that may be compromised by the misuse of GenAI tools, particularly when GenAI-generated content is presented as original, human-created work.  
Permitted uses in Teaching & Learning: Instructors are expected to establish a course-specific guidance that defines the appropriate and inappropriate use of GenAI tools.

Students may only use GenAI tools to support their coursework in ways explicitly permitted by the instructor.  

Non-permissible uses: 

Do not Use GenAI to deliberately fabricate, falsify, impersonate, or mislead, unless explicitly approved for instruction or research in a controlled environment.
Do not Record or process sensitive, confidential, or regulated information withnon-MSU GenAI tools.
Do not Enter FERPA-protected student records, PII, PHI, financial, or HR data into unapproved tools; comply with MSU’s data policy and all regulations.
Do not Use export-controlled data or CUI with GenAI tools unless approved for MSU’s Regulated Research Enclave (RRE).

A well-prepared course should be designed for ("restrict", "permit" or "require") or designed around generative AI. Courses designed for ("ban") AI should detail the ways and degrees to which generative AI use will be incorporated into activities and assessments. Courses designed for AI may incorporate AI for some activities and not others and depending on course AI may be explicitly excluded or included at different stages. Courses designed around AI may discuss impacts of generative AI as a topic but expectations are that students will not use these types of tools, and the course should be intentionally designed such that the use of generative AI would either not be conducive to the completion of assessments and activities, or such that the attempt to do so would prove overly cumbersome. Regardless of your approach, communicating your expectations and rationale to learners is imperative.
Set clear expectations. Be clear in your syllabus about your policies for when, where, and how students should be using generative AI tools, and how to appropriately acknowledge (e.g., cite, reference) when they do use generative AI tools. If you are requiring students to use generative AI tools, these expectations should also be communicated in the syllabus and if students are incurring costs, these should be detailed in the course description on the Registrar’s website. 
Regardless of your approach, you might include time for ethics discussions. Add time into your course to discuss the ethical implications of chatGPT and forthcoming AI systems. Talk with students about the ethics of using generative AI tools in your course, at your university, and within your discipline or profession. Don’t be afraid to discuss the gray areas where we do not yet have clear guidance or answers; gray areas are often the places where learning becomes most engaging.Photo by Shahadat Rahman on Unsplash

Developing your Scholarly and Ethical Approaches to Generative AI 
Taken, with slight modification, from “Update Your Course Syllabus for chatGPT” by Ryan Watkins, Professor of Educational Technology Leadership, and Human-Technology Collaboration at George Washington University in Washington DC (2022), via Medium. 
Beyond Syllabi Language
Additional considerations to help you develop your generative AI philosophy
Expand your options. Consider your repertoire of instructional strategies. Atsusi Hirumi offers a guide to research-grounded strategies for any classroom. These are not, however, “a la carte” menus; you must use all of the steps of any strategy to gain the evidence-based benefits.
Reflect on your values. As Tyler Cowen pointed out, there will be those who gain and those that lose with the emergence of chatGPT and other generative AI tools. This is as true for students as it is for faculty and instructors. Be ready to openly discuss the ethical implications of generative AI tools with your students, along with the value of what you are teaching and why learning these are important to their futures.
Consider time. As discussed during Bryan Alexander’s webinar, chatGPT and other generative AI tools offer a short-cut to individuals who are short on time. Examine your course schedule to determine if you are unknowingly pushing students to take short-cuts. Some instructors try to cover too much content in their courses already.
Remember, AI is not human. Be careful not to anthropomorphize chatGPT and other generative AI tools. ChatGPT is a language model, and if we anthropomorphize these technologies, then it will be much harder to understand their promise and perils. Murray Shanahan suggests that we avoid statements such as, “chatGPT knows…”, or “ChatGPT thinks…”; instead, use “According to chatGPT…” or “ChatGPT’s output…”.
Again, AI is likely to be a part of your students’ life to some extent this semester, so plan accordingly. Critically considering your course design in the context of generative AI is an important educator practice. Following the Provost’s call, MSU instructors are encouraged to 1) develop a course-level generative AI use policy and actively discuss with students about expectations for generative AI use in the work for your class, 2) promote equitable and inclusive use of the technology, and 3) work with colleagues across campus to determine ethical and scholarly applications of generative AI for preparing students to succeed in an evolving digital landscape. MSU does not currently have a university-wide policy on AI in the classroom, so  it is your responsibility as instructor to note and explain your individual course policy. A conversation with your department is highly recommended so that generative AI use in the classroom reflects that in the discipline.Photo by Ryoji Iwata on Unsplash

There is no “one size fits all policy” for AI uses in higher education. Much like attendance/participation policies, GenAI course-level rules and statements will be determined by individual instructors, departments, and programs. The following resource is provided to assist you in developing coherent policies on the use of generative AI tools in your course, within MSU's guideline. Please adjust these examples to fit your particular context. Remember communication of your course generative AI policies should not only be listed in your syllabus, but also explicitly included  in assignment descriptions where AI use is allowed or disallowed. 
Design For Generative AI: Sample Syllabus LanguageDesign Around Generative AI: Sample Syllabus LanguageIt is your responsibility as instructor to note and explain your individual course-level rule. A conversation with your department is highly recommended so that generative AI use in the classroom reflects broader use in the unit and  discipline. If you have specific questions about writing your course rules, please reach out to the Center for Teaching and Learning Innovation. Photo by Uriel SC on Unsplash