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Sharon Li shares the details of her research and work with Ai - its strengths and weaknesses. Sharon Yixuan Li is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin-Madison. She received a Ph.D. from Cornell University in 2017, advised by John E. Hopcroft. Subsequently, she was a postdoctoral scholar in the Computer Science department at Stanford University. Her research focuses on the algorithmic and theoretical foundations of AI safety in the open world. She has served as Area Chair for ICLR, NeurIPS, ICML, and Program Chair for Workshop on Uncertainty and Robustness in Deep Learning. She is the recipient of the AFOSR Young Investigator Program (YIP) award, NSF CAREER award, MIT Technology Review "Innovator of the Year", Forbes30Under30 in Science, and multiple faculty research awards from Google, Meta, and Amazon. Her works also received a NeurIPS Outstanding Paper Award, and an ICLR Outstanding Paper Award Honorable Mention in 2022. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx