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Michigan AI Laboratory
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Senate testimony: AI risks to the financial sector
U-M professor of computer science and engineering identifies new concerns that recent AI advances pose for financial markets.
Congrats to CSE alums who have accepted faculty positions
Congrats to these new faculty!
Nikola Banovic receives NSF CAREER Award to advance explainable AI
Prof. Banovic aims to use human-AI interaction to explain and justify AI decisions to end users.
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.