Trust and the future of mathematics, software, and science
Patrick Shafto
IRB 4105 or https://umd.zoom.us/j/93666933047?pwd=gWgqOgGbBP6laZclyURdDG2mNdArBt.1
Abstract
Mathematics, software, science, indeed society, depends on trust, yet trust is in short supply. Formal verification offers a path toward proven correct solutions, thus ameliorating the need for trust. Using math as a case study, I will argue that we are on the cusp of large-scale automatic formalization, by which we can move from implicit dependence between research and informal argumentation in papers to explicit dependence and formal verification. I will conclude by outlining major research directions required in order to realized trusted foundations across mathematics, software, science, and society.
Bio
Dr. Patrick Shafto is Professor of Mathematics and Computer Science at Rutgers University--Newark and Program Manager at DARPA. Before DARPA, he spent two years in the School of Mathematics at the Institute for Advanced Study (IAS). His research: is highly interdisciplinary with a focus at the intersection of Mathematics and Artificial Intelligence (AI); has been funded by DARPA, NSF, NIH, DoD, and the intelligence community; and, has been the foundation of multiple successful startup companies.
This talk is organized by Samuel Malede Zewdu

