Artificial Intelligence Laboratory
A vibrant research group at the University of Michigan Computer Science and Engineering Division that includes faculty, research scientists, graduate students, and postdoctoral fellows working in AI.
Welcome to the AI Lab
The Artificial Intelligence (AI) program at the University of Michigan comprises a multidisciplinary group of researchers conducting theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision making, distributed systems of multiple agents, machine learning, reinforcement learning, cognitive modeling, game theory, natural language processing, machine perception, healthcare computing, and robotics.
Meet the people who make up the AI Lab >
Prospective graduate students
Research in the Artificial Intelligence laboratory tends to be highly interdisciplinary, building on ideas from computer science, linguistics, psychology, economics, biology, controls, statistics, and philosophy. In pursuing this approach, laboratory faculty and students work closely with colleagues throughout the University. 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 >
Taking machine-learning models in health care from concept to bedside
The authors provide an overview of common challenges to implementing ML in a health-care setting, and describe the necessity of breaking down the silos in ML.
Year of growth, experiments for May Mobility
May Mobility intends to gradually acclimate the public to the experience of autonomous driving.
DARPA Award for more responsive AI that combines human and machine
The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.
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.
Can we trust a robot?
Prof. Benjamin Kuipers discusses how advances in AI and robotics have raised concerns about the impact on our society of intelligent robots, unconstrained by morality or ethics.