The Michigan Institute for Data Science (MIDAS) supports the ethical and responsible use of Generative Artificial Intelligence (Generative AI) to accelerate disciplinary and interdisciplinary research. We enable new research through research incubation events, help researchers build Generative AI skills through tutorials, and provide resources for U-M researchers. We also develop research collaboration with peer institutions, and coalition with industry and public sector organizations to promote the ethical and responsible use of Generative AI in organizational operations and decision making.
Faculty or units are welcome to reach out to us ([email protected]) to develop collaboration.
Featured Resources
The University of Michigan has become the first major university to offer a custom AI platform for its entire community, offering a suite of custom Generative AI tools in collaboration with Microsoft.
“Using Generative AI for Research, a Quick User’s Guide”
Start from this guide on how Generative AI can be used in multiple aspects of your research, based on published guidelines by journals, funding agencies and professional societies, as well as our assessment of Generative AI’s benefits and risks. For information on the instructional use of Generative AI, please see U-M guidelines: Instruction in an AI-Augmented World.
U-M GPT
A tool that provides access to popular hosted AI models such as Azure OpenAI and U-M hosted open-source large language models.
U-M Maizey
A tool that allows U-M faculty, staff, and students to enrich their GenAI experience based on a custom dataset they provide.
U-M GPT Toolkit
Designed for those who require full control over their AI environments and models.
Generative AI Guides for Researchers
Learn to quickly harness the power of generative AI in your research.
Generative AI Research Resources
This is a curated collection of Generative AI models, research papers, and other resources to help researchers start integrating Generative AI into their work.
Events
Annual Activity, Hands-on Tutorial
Knowledge Sharing
Annual Activity, Hands-on Tutorial
Results Validation
Annual Activity, Hands-on Tutorial
Baseline Analysis
Annual Activity, Hands-on Tutorial