- Our Work
Due to the impending nor’easter, this event has been canceled and rescheduled for Tuesday, May 9, 2017.
No RSVP required from current Princeton faculty, staff, and students. Open to members of the public by invitation only. Please contact Jean Butcher at if you are interested in attending a particular lunch.
Move over, Big Data. The rise of artificial intelligence is now the leading issue pushing forward novel lines of legal reasoning in privacy and intellectual property law. On a fundamental level, both privacy and intellectual property share the same realm of concern: information – what it is, who can own it, and what the law can and should allow individuals, businesses, and governments to do with it. If AI “creates” intellectual property
, who should be able to own it? Can private information used to train machine learning models be retroactively de-identified? What implications does the concept of sentient artificial intelligence have on how we understand information and laws that govern it? This luncheon presentation will explore the privacy and intellectual property law issues relating to artificial intelligence, both now and in the future. Science fiction fans welcome.
Tiffany Li is Commercial Counsel at General Assembly, the global education institution. She is also a fellow with the Internet Law & Policy Foundry and a Certified Information Privacy Professional (CIPP/E, CIPP/US, CIPT and CIPM). She holds a J.D. from Georgetown University Law Center, where she was a Global Law Scholar, and a B.A. from University of California Los Angeles, where she was a Norma J. Ehrlich Alumni Scholar. Li is also an affiliate with the UC Berkeley Center for Technology Society & Policy, and a Women Leading Privacy Advisory Board Member for the International Association of Privacy Professionals. Li’s past experience includes legal positions at the Wikimedia Foundation (Wikipedia), Ask.com, Amazon, the U.S. Department of State, and the Federal Communications Commission. Her research interests include: privacy, intellectual property, Big Data, artificial intelligence, and other tech law and policy topics.