Fall 2026 Generative AI update

University Supported AI Model

These platforms have been reviewed by the University Information Services and Office of General Counsel, and provide enterprise level data protection.  Currently available are:

• Gemini
  • Google AI Pro add-on
  • Gemini Notebook (formerly NotebookLM)
• Microsoft Copilot
• Zoom AI Companion

Advanced platforms can be found at AI Resources at Minnesota SuperComputing Insititute and through consultation with the AI Makerspace.

Teaching with Generative AI

Generative AI is rapidly transforming education and bringing about new possibilities along with unique challenges. Below are selected University of Minnesota resources to help you integrate AI effectively into your teaching.  

• Explore GenAI+U: Student Learning Experience
• Explore GenAI+U: An Instructor's Guide to AI Literacy
• Generative AI tools (Gemini, CoPilot, ChatGPT and more): a resource from the University of Minnesota Libraries that gives general information on usage and citation
• Writing Across the Curriculum (WAC) guides
  • Strategies for incorporating GenAI into courses with writing
  • Strategies for restricting GenAI use in courses with writing

Fall Programming for Generative AI

The University of Minnesota will offer the following workshops during Fall 2026:

• August 24, 2 p.m. Crafting Your AI Syllabus Statement: Choose Your Own Adventure!
• August 25, 1 p.m. GenAI in Your Fall Teaching
• August 25, 11 a.m. Academic research projects in the age of AI: preparing students to be effective researchers: 
• August 25, 1:30 p.m.  Designing Ai Aware Assignments
• August 27, 1 p.m. AI-Resilient Assessments with FeedbackFruits 

The University of Minnesota also provides access to online courses on Generative AI through Coursera. 

Safety and Privacy of User Data

• The UMN appropriate use of generative AI tools resource provides examples of data/information that should and should not be used in generative AI tools.  
  Do not integrate unapproved AI tools with University systems.  
  It is prohibited to use private student information, as defined by the Board of Regents Student Education Records policy, in AI tools that are not UMN licensed. 
  It is against University policy to use data classified as Private-Highly Restricted or Private-Restricted, unless specified.

• Read the University of Minnesota Libraries Acceptable Use of Electronic Resources to understand the relevant rules when using the University's Libraries' electronic resources (such as journals, magazine and newspaper articles, or databases).

• Be aware of the ethical concerns of generative AI, such as biased output, hallucinations (false or misleading information presented as fact) and misinformation.