Monday April 18, 2005
12:30 – 1:30 p.m.
Room 230
Free and Open to all!
Lunch Served
Board a city bus, pass a bank building, or drive through a toll point - these are just a few ways that your daily trip to and from work can create a record about you in a database or on film. While the anonymity of non-suspicious routine activities is eroding, there is nothing inevitable about this development. This talk will be an overview of some current research projects exploring the grand challenge of today's engineers and IT developers -- integrating privacy and/or anonymity into the design of technology. Three areas of research will be presented. First, a set of privacy design principles for engineers and computer scientists will be presented. Second, in a case study on sharing video surveillance data, a new privacy-enabling algorithm, named k-Same, will also be demonstrated. This algorithm guarantees face recognition software cannot reliably recognize de-identified faces, even though many facial details are preserved. Third is an overview of a mental models approach to help in understanding potential public attitudes and awareness towards privacy and recent changes in technology.Elaine Newton is a doctoral candidate in the Engineering and Public Policy