POSTPONED: AI x IP: Copyright in the Age of Machine Learning
NOTE: This event has been postponed until later in 2020. Subscribe to the CDAC mailing list or check this website for further updates.
The increased use of artificial intelligence and machine learning approaches in science and industry raises new questions for intellectual property law and policy. In late 2019, the United States Patent and Trademark Office asked the public for comment on several questions surrounding AI and IP, including:
- Is work produced by an AI algorithm protectable under US copyright law?
- Who can be considered the author of AI-generated work?
- Does the use of copyrighted data to train a machine learning model fall under fair use?
- How does AI impact trademark or trade secret law?
Join a panel of experts from computer science, law, and public policy for a discussion of these issues and other topics at the intersection of technology, innovation, and intellectual property law.
This event will be live streamed. Connect online to join the conversation.
Co-presented by CDAC, the Polsky Center for Entrepreneurship and Innovation, the Rustandy Center for Social Sector Innovation, the Booth School of Business, and the University of Chicago Law School.
Nick Feamster is Neubauer Professor in the Department of Computer Science and the College. He researches computer networking and networked systems, with a particular interest in Internet censorship, privacy, and the Internet of Things. His work on experimental networked systems and security aims to make networks easier to manage, more secure, and more available.
Saif M. Khan
Saif M. Khan is a Research Fellow at Georgetown’s Center for Security and Emerging Technology (CSET). Previously, he was an intellectual property attorney at Brinks Gilson & Lione and at Hewlett-Packard and successor companies, where he supported enterprise software businesses with analytics and 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.
Jonathan S. Masur
Jonathan Masur received a BS in physics and an AB in political science from Stanford University in 1999 and his JD from Harvard Law School in 2003. After graduating from law school, he clerked for Chief Judge Marilyn Hall Patel of the United States District Court for the Northern District of California and for Judge Richard Posner of the United States Court of Appeals for the Seventh Circuit. He joined the Law School faculty in 2007 and received tenure in 2012. He served as Deputy Dean from 2012 to 2014 and was named the John P. Wilson Professor of Law in 2014. He won the Graduating Students Award for Teaching Excellence in 2014 and 2017 and the Class Award in 2016. He has served as director of the Wachtell, Lipton, Rosen & Katz Program in Behavioral Law, Finance and Economics since its founding.
Masur's research and teaching interests include patent law, administrative law, behavioral law and economics, and criminal law.
Kelly Carlquist is a second-year M.B.A. student and a Richard Leftwich Distinguished Fellow at the University of Chicago Booth School of Business, where she co-founded Booth’s Government and Policy Club. Prior to Booth, Kelly served as an associate on the Primary Investment Team at Chicago’s Adam Street Partners, and began her career on Goldman Sachs’s product strategy team in New York. Kelly holds a degree in economics from Northwestern University.