Michigan AI Laboratory
Prospective graduate students
This collaborative environment, coupled with our diverse perspectives, leads to a valuable interchange of ideas within and across research groups.
Research on human biases in AI learning earns best student paper award
The project demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.
Rada Mihalcea named Janice M. Jenkins Collegiate Professor of CSE
Mihalcea specializes in identifying the underlying emotions, beliefs, and values expressed in written text, and using that to draw inferences about the meaning of the text and certain characteristics…
Faster than COVID: a computer model that predicts the disease’s next move
Predictive model could help care providers stay safe, anticipate patient needs.
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.