University Approved Artificial Intelligence (AI) tools
The University of Minnesota has approved the following tools for use for all staff, faculty, and students.
The above tools have been vetted by the Office of General Counsel and the University Information Systems to ensure privacy and data protection.
Individuals or departments interested in using non-approved tools should reference the Artificial Intelligence Appropriate Use page which notes that:
It is prohibited to use private student information as defined by the Board of Regents Student Education Records policy.
It is against University policy to use data classified as Private-Highly Restricted or Private-Restricted, unless specified.
And:
Agreement to any software’s terms and conditions, including clickwrap user agreements, are contracts and must be performed by the person with delegated authority to act on behalf of the University. Regents' Policies Relating to Contracts require that all such terms are submitted to UMN’s Office of General Counsel (OGC) for review before acceptance to ensure the University is not entered into a legally-binding contract with the vendor without adequate counsel.
Please review the Contract and Privacy Review section of the Review Process for UMN Software Purchases self-help guide.
UMN Staff are encouraged to review the Guidance on the Use of Generative Artificial Intelligence.
Generative AI Resources
Navigating AI @ UMN.edu Explore the systemwide resources below for faculty, staff, and students so you can responsibly leverage, and innovate with, AI in your academic, research, and professional endeavors.
UMD’s Generative AI Syllabus Statement Examples are a resource for faculty and instructors to adopt or adapt for their course learning objectives and instructional / assessment style.
Artificial Intelligence and Academic Integrity: Resources for instructors It includes advice on strategies for engaging students in productive conversations about GenAI use, commentary on the state of AI detection tools, recommendations and resources for addressing citation practices, ideas for designing AI-resilient assignments, and, importantly, procedures for handling suspected misuse.
Teaching Support: Teaching with Generative AI includes resources from across the University of Minnesota on how to best incorporate generative AI into your teaching practices.
UMN AI Community of Practice: The Artificial Intelligence Community of Practice (AICOP) provides a digital space for faculty, staff, and students of the five University of Minnesota System campuses to discuss Generative AI policy, research, ethics, teaching, and innovation.
Upcoming Generative AI Programming
- August 20: How Students are using AI to Research: Learn about common ways that students are using AI to do academic research. We'll talk through students perceptions of AI use and offer tips and tricks to encourage smart use of AI. 1:00 pm
- August 21: AI in Teaching Series: Crafting Your AI Syllabus Statement: Choose Your Own Adventure! This practical workshop will assist faculty and instructors in making informed and practical decisions about AI use, and help you craft clear, effective syllabus statements specific to your courses. 1:00pm. Zoom.
- August 27: GenAI in Your Fall Teaching: Participants will explore how Generative AI tools align with their teaching goals, consider how to leverage these tools for assignments, and discuss how assessments may need to be rethought. 11:00 am to 12pm
- August 27: AI in Teaching Series: Explore UMN Gen AI Tools Join Academic Technology Support Services staff members to explore how the Google Gemini and NotebookLM can assist you. 1:00 pm to 2:00 pm
- October 23: Navigating the GenAI Landscape: A UMN forum for exploration and discovery The program will feature a keynote address, alongside opportunities to attend panel discussions, hands-on workshops, and high-energy, “lightning round” 15-minute presentations.