Teaching & Learning
- Department-level policies may also provide expectations and direct students to seek clarification on acceptable AI use
- The university provides syllabus-language templates indicating that student use of generative AI for course work is determined at the course/instructor level, and instructors should specify when and how AI tools may be used
In this course, students will [statement of learning outcomes, competencies, or disciplinary goals]. Given that Generative AI may aid in [developing or exploring course, discipline, professional, or institutional goals/competency], students may use these tools in the following ways:
Faculty are encouraged to address guidelines for generative AI tools early in the semester both in the syllabus and in person. Revisiting the topic during new assignments can also be helpful.
Students are encouraged to seek clarification regarding AI use and should consult designated support channels (see Faculty Recommendations for the AI Contact).
Research
Academic Integrity
- The university’s teaching-support guidance warns instructors that GenAI detection tools can be inaccurate, including flagging original human writing as AI-generated, and encourages instructors to evaluate whether they would trust such results in their classroom
Anecdotally, University faculty have found inaccurate results when submitting their own writing to GenAI detection tools. In many cases, a portion of their text has been flagged as AI-generated, even when entirely original or predates the emergence of GenAI!
Would you trust the results in your classroom?
Institutional & Administrative
- It also includes department-level policy language encouraging learners, faculty, and staff to explore and utilize GenAI tools to enhance educational and professional activities
- The university states that generative AI use in teaching is ultimately guided by instructor ethics and judgment, and provides examples of how an instructor might use Gemini to support teaching and learning
While generative AI tools like Gemini are useful tools, teaching and learning effectiveness, ethics, and judgement are ultimately guided by the instructor.
Autonomy: Learners, faculty, and staff are encouraged to explore and utilize GenAI tools to enhance their educational and professional activities. Autonomy in the use of GenAI fosters innovation and personal growth.
- The university also links AI-appropriate-use guidance as a data-safeguarding resource for enterprise-grade AI offerings
- The university encourages use of UMN-licensed AI tools and provides guidance about what content is acceptable to upload into specific UMN-supported tools (e.g., NotebookLM), including that student work may be uploaded only with student consent
Tools that are UMN-Licensed have a binding contract (e.g., a Master License Agreement) between the technology provider and the University. The tools may be available with no cost or have a cost associated with them. OIT encourages the use of UMN-Licensed tools.
Student work is acceptable with student consent.
Safeguard data and use AI tools appropriately in your role at the University.
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About University of Minnesota Twin Cities's AI Policies
University of Minnesota Twin Cities has defined AI policies in 4 of 12 categories, with an overall coverage score of 33%.
No explicit disclosure requirement is currently defined in the available policy sources.
The university’s teaching-support guidance warns instructors that GenAI detection tools can be inaccurate, including flagging original human writing as AI-generated, and encourages instructors to evaluate whether they would trust such results in their classroom.
The university encourages use of UMN-licensed AI tools and provides guidance about what content is acceptable to upload into specific UMN-supported tools (e.g., NotebookLM), including that student work may be uploaded only with student consent. The university also links AI-appropriate-use guidance as a data-safeguarding resource for enterprise-grade AI offerings.