Uncertainty Quantification and Reasoning for Reliable AI Seminar at Brigham Young University
Our researcher Xujiang Zhao will present “Uncertainty Quantification and Reasoning for Reliable AI” at Brigham Young University on Thursday, Sept. 25 at 11 a.m. in TMCB 1170. The seminar explores how statistical modeling and reasoning frameworks can strengthen trustworthy AI, making systems more robust and transparent in high-stakes applications like healthcare and autonomous systems. Attendees will gain insights into how uncertainty quantification is shaping the next generation of responsible AI.
