Oct 20, 2017
Lopata Hall, Room 101
Conceptualizing Digital Privacy as a Social Dilemma
How might conceptualizing the collection and use of personal data as a social dilemma enable a change in how digital privacy is managed? In this talk I will present my recent work to discover ways to help end users manage the privacy social dilemma that arises when algorithms in computing systems make new inferences from data collected to help the system work better, but that users might not want to disclose. For example, data collected by technologies like Fitbit activity trackers and digital assistants like Amazon's Alexa or the Google Home that is is stored in the cloud can be aggregated and analyzed in order to improve the functionality and services the systems provide. But, the same data might also be used to infer sensitive personal information about the people using these systems that they might want to keep to themselves.
Emilee Rader is an Associate Professor and AT&T Scholar in the Department of Media and Information at Michigan State University. Her research addresses problems that arise at the intersection of people, technology, and information in socio-technical systems. These systems have great potential to help people and improve their lives; however, they also have the potential for harm. In particular, she focuses on socio-technical systems that are "black boxes" from the perspective of people using the system—the inputs and outputs can be observed, but the inner workings are hidden and are therefore hard for people to understand.
Dr. Rader earned her PhD from the University of Michigan School Of Information and spent two years at Northwestern University in the Department of Communication Studies, where she was a recipient of the highly competitive Computing Innovation post-doctoral fellowship award from the Computing Research Association. She also has a professional Master's degree from the Human Computer Interaction Institute at Carnegie Mellon University, and worked with an interdisciplinary team of researchers at Motorola Labs in the early 2000's designing and evaluating applications for mobile technologies. Her work has been funded by several grants from the National Science Foundation, and she primarily publishes in human-computer interaction and usable security and privacy venues.