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Message preview	Hi there, You are invited to a Zoom webinar. When: Feb 9, 2023 01:30 PM Pacific Time (US and Canada) Topic: The Importance of AI Risk Management: A Fireside Chat on NIST’s AI RMF Launch Register in advance for this webinar: https://us06web.zoom.us/webinar/register/WN_vXj1xAaDSIugoQjuyHUh1w After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Reva Schwartz (Principal Investigator for AI Bias @NIST) Reva Schwartz is a research scientist in the Information Technology Laboratory (ITL) at the National Institute of Standards and Technology (NIST). She serves as Principal Investigator on Bias in Artificial Intelligence for NIST’s Trustworthy and Responsible AI program. Her research focuses on the role of context in human language and behavior, the nature of subject matter expertise and expert judgment in socio-technical systems, and the role of gatekeepers within institutions. She has advised federal agencies about how experts interact with automation to make sense of information in high-stakes settings. Reva received her MA from the University of Florida in acoustics and socio-phonetics, and her BA in political science from Kent State University. Alie Fordyce (Product Compliance Lead @Robust Intelligence) Alie Fordyce is the Product Compliance Lead at Robust Intelligence. She is Swiss-American and has experience working in both Europe and the US. Alie has an MA in Human-Computer Interaction from Georgetown University and a BA in Anthropology from Princeton University. Alie has focused on AI Ethics and Tech Policy in her most recent experiences, and at her previous role at the Wilson Center, a Washington D.C. based think tank, she did extensive research on the role of transparency in ethical AI with specific focus on facial recognition technology. Hyrum Anderson (Distinguished Machine Learning Engineer @Robust Intelligence) Hyrum Anderson is Distinguished ML Engineer at Robust Intelligence. He received his PhD in Electrical Engineering from University of Washington, with an emphasis on signal processing and machine learning, and BS and MS degrees in Electrical Engineering from Brigham Young University. Much of his career has been focused on defense and security, having directed research projects at MIT Lincoln Laboratory, Sandia National Laboratories, Mandiant, as Chief Scientist at Endgame, and Principal Architect of Trustworthy Machine Learning at Microsoft. While at Microsoft, he organized Microsoft’s AI Red Team and oversaw exercises on production AI systems as chair of the AI Red Team governing board. Hyrum co-founded the Conference on Applied Machine Learning in Information Security, and co-organizes the ML Security Evasion Competition and the ML Model Attribution Challenge. He has authored over 60 peer-reviewed academic publications and co-authored a book on attacks on ML systems.

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