An individual's personal privacy preferences differs based on who you talk to: some may be comfortable sharing more personal data than others. But context matters, too. Using geolocation data to run a map app makes sense, but using it for a flashlight app doesn't. To help manage privacy settings and permissions, a team of researchers at Carnegie Mellon University have developed the Privacy Assistant app. Using machine learning, the technology — which so far only works on "rooted" Android phones — helps predict a user's privacy preferences and manages those across apps stored on the phone. In this post for Privacy Tech, Ryan Chiavetta talks with CMU's Norman Sadeh, CIPT, who has led the research and development into this new technology. 
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