CITP Launch Event:Special Event
Initiative on Artificial Intelligence and Policy
Date: Thursday, October 19, 2017
Time: 10 a.m. to 3:30 p.m.
Location: Friend Center Convocation Room
This conference will not be livestreamed, but it will be videotaped for future posting on CITP’s YouTube channel.
This event will mark the launch of CITP’s initiative on artificial intelligence, machine learning, and public policy. The initiative will examine a range of policy issues raised by artificial intelligence, including how to ensure the application of AI is fair and governable; the impact of AI on the economy and jobs; how AI will affect free expression and human rights; how to increase the diversity of the AI workforce; effects of AI on security and privacy; and so on. This launch event will include introductions to these policy areas from Princeton experts, and roundtable discussions on how to address them.
This event is sponsored by:
10 a.m. – 10:45 a.m.
Welcome and Introduction – Ed Felten
10:45 a.m. – 11:25 a.m.
Two 20 minute talks
Nick Feamster: Free Expression
Chloe Bakalar: Ethics
11:30 a.m. – 12:15 p.m.
Break out sessions
12:15 p.m. – 1:30 p.m.
1:30 p.m. – 2:10 p.m.
Two 20 minute talks
Olga Russakovsky: Workforce Diversity
Arvind Narayanan: Fairness
2:15 p.m. – 3 p.m.
Break out sessions
Closing remarks and a short reception will immediately follow
If you park on campus, you probably will want to park in Lot 21 and take a Princeton shuttle to the Friend Center; the East Line/East Commuter Line and Campus Circulator run between those stops. Shuttles may be tracked online or through a mobile app with TigerTracker.
There are also metered parking spots and parking garages on campus and nearby in downtown Princeton. The closest parking is usually along William St., Olden St., and Prospect Ave., but you may also reference this parking map.
The closest major airports are Newark Liberty International Airport (EWR) and Philadelphia International Airport (PHL). Trenton-Mercer Airport (TTN) is also nearby but serves a limited number of routes, all flown by Frontier Airlines.
Once you land, please follow the driving or train directions to reach Princeton.
The Princeton Junction is the closest major train stop and is on both the NJ Transit Northeast Corridor Line and the Amtrak Keystone Service and Northeast Regional. These lines all serve New York Penn Station and Newark Airport (if you are flying out of EWR, be sure to get a ticket to Newark Airport, not Newark Penn Station). They also connect to the SEPTA at Trenton Station, and you can take the SEPTA to Philadelphia or other parts of southeastern Pennsylvania.
To reach the Princeton campus from Princeton Junction, you may take a 15-minute cab ride, take a Princeton TigerPAWW bus, or transfer to a small train (the “Dinky”). From TigerPAWW or the Dinky, you may either walk about a mile across campus or take a Princeton shuttle to the Friend Center; the West/West Extension Line, Stanworth Line, and Campus Circulator will take you from Princeton Station (or University Place) to the Friend Center.
It takes about two hours to travel from Princeton to Philadephia, New York Penn Station, or Newark Airport. If you are traveling to Newark Airport, be sure to get a ticket to the airport stop, not to Newark Penn Station.
Local hotels sometimes offer discounted rates for Princeton guests and visitors. If you do not have a car, you also may wish to confirm whether the hotel will have shuttle service to campus when you are staying. Additional information and hotels can be found on the Princeton travel site.
Ten Palmer Square East, Princeton, NJ 0854
The Nassau Inn is within walking distance to campus. Click here for walking directions and a map to the conference from the Nassau Inn.
Residence Inn Princeton at Carnegie Center
3563 US Route 1, Princeton, NJ 08540
Hyatt Place Princeton
3565 US Route 1, Princeton, NJ 08540
Please contact Jean Butcher at should you have any questions or require further information.
Chloé was a 2015-2017 Values and Public Policy Postdoctoral Research Associate with an appointment in the Woodrow Wilson School/Center for the Study of Democratic Politics and the University Center for Human Values. Bakalar is a political and legal theorist with an empirical background in American politics. Her research focuses on questions of democratic theory, the history of modern political thought and public law. She is currently working on a book manuscript, Small Talk? The Impact of Social Speech on Liberal Democratic Citizenship, that considers and maps the positive and negative effects of everyday talk on liberal democratic citizenship and political outcomes. Bakalar holds an A.M. and Ph.D. in political science from the University of Pennsylvania, and a bachelor’s degree in politics from New York University.
Ed is the Robert E. Kahn Professor of Computer Science and Public Affairs, the director of the Center for Information Technology Policy and the director of the Program in Technology and Society, Information Technology Track. Ed served at the White House as the Deputy U.S. Chief Technology Officer from June 2015 to January 2017. He was also the first chief technologist for the Federal Trade Commission from January 2011 until September 2012. His research interests include computer security and privacy, and public policy issues relating to information technology. Specific topics include software security, Internet security, electronic voting, cybersecurity policy, technology for government transparency, network neutrality and Internet policy.
Ed often blogs about technology and policy at Freedom to Tinker.
Nick is the deputy director of CITP and a professor in the Department of Computer Science at Princeton University. Before joining the faculty at Princeton, he was a professor in the School of Computer Science at Georgia Tech. He received his Ph.D. in computer science from MIT in 2005, and his S.B. and M.Eng. degrees in electrical engineering and computer science from MIT in 2000 and 2001, respectively. He received the Presidential Early Career Award for Scientists and Engineers (PECASE), the Technology Review “TR35” award, a Sloan Fellowship, and the SIGCOMM Rising Star Award for his contributions to cybersecurity, notably spam filtering. His research focuses on many aspects of computer networking and networked systems, with a focus on network operations, network security, and censorship-resistant communication systems. His research interests overlap with technology policy in the areas of censorship, broadband access networks, and network security and privacy.
Olga is an assistant professor in the Department of Computer Science at Princeton University. Her research is in computer vision, closely integrated with machine learning and human-computer interaction. She completed her Ph.D. at Stanford University and her postdoctoral fellowship at Carnegie Mellon University. She was awarded the PAMI Everingham Prize as one of the leaders of the ImageNet Large Scale Visual Recognition Challenge, the NSF Graduate Fellowship and the MIT Technology Review 35-under-35 Innovator award. In addition to her research, she co-founded the Stanford AI Laboratory’s outreach camp SAILORS to educate high school girls about AI. She then co-founded and continues to serve as a board member of the AI4ALL foundation dedicated to educating a diverse group of future AI leaders.
Arvind is an assistant professor in the Department of Computer Science at Princeton University. He leads the Princeton Web Transparency and Accountability Project to uncover how companies collect and use our personal information. Narayanan also leads a research team investigating the security, anonymity, and stability of cryptocurrencies as well as novel applications of blockchains. He co-created a Massive Open Online Course as well as a textbook on Bitcoin and cryptocurrency technologies. His doctoral research showed the fundamental limits of de-identification, for which he received the Privacy Enhancing Technologies Award. Narayanan is an affiliated faculty member at the CITP and an affiliate scholar at Stanford Law School’s Center for Internet and Society.