The George H. Heilmeier Faculty Award and Lecture
April 24 at 2:00 PM - 3:00 PM
Calibration in the Age of AI: From Prediction to Decision Making to AI-Assisted Research
How much should users trust AI predictions, and how should they use their predictions when making important decisions? This talk will discuss calibration and how it mediates the interface between probability, prediction and decision making. We will also touch on how AI itself is rapidly changing the nature of mathematical research — some of the results we will discuss are not just about AI, but derived with AI assistance.
Aaron Roth
Henry Salvatori Professor of Computer and Cognitive Science
Aaron Roth is the Henry Salvatori Professor of Computer and Cognitive Science, in the Department of Computer and Information Science at the University of Pennsylvania, with a secondary appointment in the Department of Statistics at the Wharton School. He is affiliated with the Warren Center for Network and Data Science. He is also an Amazon Scholar at Amazon AWS. He is the recipient of the Hans Sigrist Prize, a Presidential Early Career Award for Scientists and Engineers (PECASE), an Alfred P. Sloan Research Fellowship, an NSF CAREER award, and research awards from Yahoo, Amazon and Google. His research focuses on the algorithmic foundations of data privacy, algorithmic fairness, game theory, learning theory and machine learning. Together with Cynthia Dwork, he is the author of the book “The Algorithmic Foundations of Differential Privacy.” Together with Michael Kearns, he is the author of “The Ethical Algorithm.”