Artificial Intelligence has incredible potential to transform many aspects of our lives and redefine how we interact with technology and each other. However, like any technology, these opportunities also come with risks. Join the Michigan AI Lab as we discuss the potential for AI to tackle some of our most complex societal issues such as climate change, poverty, and accessibility. We will also discuss the inherent risks such as bias, security, and misuse. Bring your questions for an opportunity to engage directly with Michigan AI faculty experts.

About the Presenters:

Alexander Rodriguez is an assistant professor of computer science and engineering at the University of Michigan, Ann Arbor. He received his PhD in computer science from the Georgia Institute of Technology in 2023. His research interests include problems at the intersection of machine learning, time series, multi-agent systems, uncertainty quantification, and scientific modeling. These are primarily motivated by public health, computational epidemiology, and community resilience. His work has been recognized with the best paper award at ICML AI4ABM 2022 and was awarded the 1st place in the Facebook/CMU COVID-19 Challenge and the 2nd place in the C3.ai COVID-19 Grand Challenge. He was also named a ‘Rising Star in Data Science’ by the University of Chicago Data Science Institute in 2021 and a ‘Rising Star in ML & AI’ by the University of Southern California in 2022. His dissertation received the 2024 Outstanding Dissertation Award from the College of Computing at Georgia Tech and the 2024 ACM SIGKDD Dissertation Award Runner Up. His homepage is alrodri.engin.umich.edu.J

Jeong Joon (JJ) Park is an assistant professor in CSE. He is broadly interested in computer vision, graphics, and artificial intelligence. His current research focus is on realistic 3D/4D content generation using physical and neural representations: generations for large-scale, dynamic, and interactive scenes are primary targets. His group explores 3D vision, graphics and machine learning, and their applications to robotics, medical imaging, and scientific problems. Before coming to Michigan, he was a postdoctoral researcher at Stanford University and finished his Ph.D. at U of Washington, Seattle.

This program will be in the Library’s lower-level meeting room. Registration is appreciated. Click the event webpage or call 734-426-4477 (ext. 120) to register.