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Mission Statement

Founded in Fall, 2023, the UM3D sponsored AI Community of Practice is a forum for invited UofM faculty and staff to discuss the potential benefits and challenges of artificial intelligence (AI), in particular Large Language Models (LLMs), in teaching and learning. 

Goals 

  • Educate and Inform: Enhance our own awareness about the potentials, challenges, ethical implications, and current applications of LLMs in higher education by sharing and analyzing resources. 
  • Provide Practice: Provide a safe and welcoming space to experiment and learn new technologies. 
  • Collaborate and Network: Foster interdisciplinary collaboration and networking. 
  • Create, Share, and Recommend Resources: Compile and analyze articles related to AI/LLMs in higher education; create and share best practices; share our CoP experience and lessons learned; present our findings for the benefit of the broader university academic population and beyond. 

Completed Projects

AI for Teaching & Learning self enroll Canvas course

Generative AI Resources at the UofM webpage

Join Us!

Meetings

The AI CoP meet approximatly 3 times each Fall and Spring semester, with working groups meeting more often. Meetings may be in person or remote.

How to Join

Faculty and staff who are interested in joing this CoP, should complete this interest form. The CoP membership is limited.

2023-24 Members

Co-Leads

Kim Marks
Amanda Savage
Crystal White

General Members

Laura Alderson
Tracy Collins
Barabara Fitzgerald
Joanne Gikas
Emily Gillo
Balaj Krishnan
Tara Hunter
Gretchen Peterson
Tracy Collins
Barabara Fitzgerald
John Marshall
Steve Strain
Scott Vann
Danesha Winfrey

2024-25 Members

Co-Leads

Amanda Savage
Emily Gillo

General Members

Laura Alderson
Tracy Collins
Barabara Fitzgerald
Joanne Gikas
Balaj Krishnan
Tara Hunter
Gretchen Peterson
Tracy Collins
Barabara Fitzgerald
Kim Marks
John Marshall
Steve Strain
Scott Vann
Danesha Winfrey
Crystal White