Michigan AI Laboratory

Welcome to the Artificial Intelligence Laboratory

A vibrant research group that includes faculty, research scientists, graduate students, and postdoctoral fellows working in AI.

Meet the people who make up the AI Lab>

Lab flyer

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Activities and events

Friday Night AI

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AI Seminars and Events

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Prospective graduate students

This collaborative environment, coupled with our diverse perspectives, leads to a valuable interchange of ideas within and across research groups.

View our prospective student page on the CSE website>

News

AI for Science course bridges disciplines

A new course at U-M teaches students to integrate AI with scientific methods across various fields.

Eleven papers by CSE researchers at ICLR 2025

CSE authors are presenting new research on topics related to deep learning, including spatial reasoning in vision-language models, data selection methods, and moral alignment in language…

A new era in AI health research: A Q&A with Jenna Wiens

A co-director of U-M’s AI & Digital Health Innovation discusses the custom-built digital environment that will power tomorrow’s health AI research.

All AI Lab News >

How can machine learning impact healthcare?

Prof. Jenna Wiens uses machine learning to make sense of the immense amount of patient data generated by modern hospitals. This can help alleviate physician shortages, physician burnout, and the prevalence of medical errors.

Making AI explainable

Researchers in Prof. Nikola Banovic’s lab work to make AI models understandable to the people who ultimately have to use them – clinicians, policymakers, engineers, artists, designers, and the broader public. Most models rely on complex mathematical outputs to communicate things like how they arrived at a certain answer, or how “confident” the model is in its output. Instead, Banovic and his students design interactive tools to connect the dots for end-users.