User-Controllable Privacy: An Oxymoron?
Speaker: Norman Sadeh , Carnegie Mellon UniversityContact:
Date: March 13 2012
Time: 1:30PM to 2:30PM
Location: 32-D463 (Star)
Host: Lalana Kagal, CSAIL
Marisol Diaz, 617.324.8430, firstname.lastname@example.orgRelevant URL:
Increasingly users are expected to evaluate and configure a variety of privacy policies (e.g. browser settings, mobile app permissions, or social networking accounts). In practice, research shows that users often have great difficulty evaluating and configuring such policies. As part of this presentation, I will provide an overview of research aimed at empowering users to better control their privacy in the context of a family of location sharing applications we have deployed over the years. This includes technologies to analyze people’s privacy preferences and help design interfaces that are capable of effectively capturing their desired policies. This research helps explain why, with the possible exception of Foursquare, applications in this space have failed to gain traction and what it will likely take to go beyond the mundane scenarios captured by Foursquare. Part of this talk will be devoted to user-oriented machine learning techniques intended to reduce user-burden and help users converge towards policies they feel more comfortable with. Beyond location sharing, this talk will also discuss our longer-term goal of developing personalized privacy assistants (or “agents”) capable of engaging in dialogues with users to help them semi-automatically evaluate privacy policies and configure privacy settings.
Norman Sadeh is a Professor in the School of Computer Science at Carnegie Mellon University. His current research interests include Mobile and Pervasive Computing, Web Security and Privacy, Artificial Intelligence, Machine Learning and Human Computer Interaction. He is also interested in the broader social and policy issues associated with the emergence of social and pervasive computing.
Norman is co-Founder and co-Director of the School of Computer Science’s PhD Program in Computation, Organizations and Society. He also Founder and Director of the School’s Mobile Commerce Lab. He has been on the faculty at Carnegie Mellon since 1991 and is also well-known for his earlier work in scheduling, constraint satisfaction and constrained optimization, supply chain management, automated trading, and the Semantic Web. In the late nineties, he served as Chief Scientist of the European Union’s $800M e-Work and e-Commerce program, which at the time included all pan-European research in cyber security and online privacy. He is also co-founder of Wombat Security Technologies. Among other awards and honors, Norman was co-recipient of IBM’s 2005 Privacy Faculty award and of the first Google Focused Research Award in Privacy.
Norman received his PhD in computer science from Carnegie Mellon University, an MSc, also in computer science, from the University of Southern California, and a BS/MSc in Electrical Engineering and Applied Physics from Brussels Free University.
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