How To Secure AI Systems feat. Yaron Singer | Stanford MLSys Seminar Episode 30
Episode 30 of the Stanford MLSys Seminar Series!
Securing AI Systems from Operational Risk
Speaker: Yaron Singer
As organizations adopt AI technologies they inherit operational risk. This risk often manifests itself in AI models that produce erroneous predictions that go undetected. In this talk we will discuss root causes for AI models going haywire, and present a rigorous framework for eliminating risk from AI. We will show how this methodology can be used as building blocks for continuous monitoring and firewall systems for AI.
Yaron Singer is the CEO and co-founder of Robust Intelligence, and the Gordon McKay Professor of Computer Science and Applied Mathematics at Harvard University. Before Harvard he was a researcher at Google and obtained his PhD from UC Berkeley. He is the recipient of the NSF CAREER award, the Sloan fellowship, Facebook faculty award, Google faculty award, 2012 Best Student Paper Award at the ACM conference on Web Search and Data Mining, the 2010 Facebook Graduate Fellowship, the 2009 Microsoft Research PhD Fellowship.
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The Stanford MLSys Seminar is hosted by Dan Fu, Karan Goel, Fiodar Kazhamiaka, and Piero Molino, Chris Ré, and Matei Zaharia.
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