Generative AI Hub

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 (midas-research@umich.edu) to develop collaboration.

In this Section

Generative AI Tutorials

GenAI Research Connection

User’s Guide

Generative AI Research Resources

researcher exploring data

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.

Browse ReSources

Events

An Introduction to GenAI Governance and Sensitive Data Use Guidelines at Michigan Medicine

October 22, 2024 10:00 am
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October 22, 2024 2:00 pm
About this session:This session will present current discussions on governance and infrastructure for integrating generative AI tools into research and clinical operations at Michigan Medicine, including guidelines for using specific generative AI tools with sensitive data. About the series:Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and … Read more

An Introduction to Generative AI Tools for Research

October 10, 2024 12:00 am
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October 10, 2024 11:00 pm
About this session:This session will introduce you to some useful ways to incorporate Generative AI tools in your research, including a brief outline of tools and topics to be covered in depth in the subsequent sessions. About the series:Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and … Read more

Calls for Applications

2025 Postdoctoral Fellowships

September 27, 2024 2:30 pm
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November 23, 2024 12:00 am
MIDAS is seeking applications for the AI in Science Fellowship, Data Science Fellowship, and our new African Faculty Fellowship the at the University of Michigan.