Michigan AI Laboratory
News
Explore CS Research program highlights student research in annual showcase
The yearlong program, designed to introduce students to the research process, closed with a panel discussion and poster session featuring participants’ projects.
Maggie Makar receives NSF CAREER Award to develop machine learning models backed by… causal reasoning
Makar’s research will leverage causal mechanisms to build more robust machine learning models.
Divya Ramesh awarded Rackham Barbour Scholarship
Given to high-achieving women from Asian countries, the award recognizes Ramesh’s academic excellence and will support her continued research on algorithmic accountability for socially…
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.