CSET-Foretell hosted a webinar as part of its In Conversation Series featuring Research Fellow Saif M. Khan, moderated by Foretell project lead Michael Page. Foretell was a crowd forecasting project that focuses on questions relevant to technology-security policy. It aimed to bolster the ability to predict near-term events at the nexus of security and emerging technology and better understand how these occurrences might affect broader geopolitical trends. In January 2022, Foretell became part of a larger forecasting program to support U.S. government policy decisions called INFER, which is run by the Applied Research Laboratory for Intelligence and Security at the University of Maryland and Cultivate Labs.
Remarks and Discussion
Michael Page is a Research Fellow with the Center for Security and Emerging Technology (CSET). He was previously policy and ethics advisor at OpenAI. Before focusing on artificial intelligence, he was a litigation associate at Williams & Connolly LLP, a staff attorney at Public Citizen Litigation Group, and an adjunct professor at American University Washington College of Law. Michael received a J.D. magna cum laude from Cornell Law School, where he was the editor-in-chief of the Cornell Law Review. He clerked for Honorable Guido Calabresi on the United States Court of Appeals for the Second Circuit.
Saif M. Khan is a Research Fellow at Georgetown’s Center for Security and Emerging Technology (CSET). His research focuses on AI policy, semiconductor supply chains, China’s semiconductor industry and U.S. trade policy, and has been featured in The Financial Times, The Washington Post, Fortune and other outlets. Saif has a decade of experience as an intellectual property lawyer at Brinks Gilson & Lione and at several technology companies including Hewlett-Packard, where he supported software businesses with machine learning portfolios. Saif has a J.D. (cum laude) from The Ohio State University Moritz College of Law and a B.S. (cum laude) in physics and an M.A. in physics from Wayne State University.