The General Data Protection Regulation contains a host of forward leaning data provisions, but none are thornier than the so-called “right to explainability” and the constraints the GDPR imposes on machine learning. With fines of up to four percent of global revenue, organizations using EU data will literally not be able to afford to ignore these issues. Questions created by the GDPR include:
This talk will focus on the specific challenges created by the GDPR, the ambiguities around ML that regulators have left unaddressed, and what this means for every phase of the ML creation, testing, and deployment lifecycle.
Andrew is the leading authority on the intersection between machine learning, regulation and law. Prior to joining Immuta, Andrew served as Special Advisor for Policy to the head of the FBI Cyber Division, where he served as lead author on the FBI’s after-action report for the 2014 attack on Sony. He is also a visiting fellow at Yale Law School’s Information Society Project, most recently participating in an expert discussion on how to structure a basic framework for governing machine learning and AI.
An author and former reporter, Andrew has been published in the Financial Times, The Los Angeles Times, Slate, The Yale Journal of International Affairs, and most recently, The New York Times for an article titled, “The End of Privacy.” His book, American Hysteria: The Untold Story of Mass Political Extremism in the United States (Lyons Press, 2015), was called “a must read book dealing with a topic few want to tackle” by Nobel laureate Archbishop Emeritus Desmond Tutu.
Andrew earned his J.D. from Yale Law School, and B.A. from McGill University. He is a term-member of the Council on Foreign Relations, a member of the Washington, D.C. and Virginia State Bars, and a Global Information Assurance Certified (GIAC) cyber incident response handler.
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