When it comes to privacy controls, we may now have too much of a good thing. Smartphone owners must now make more than 100 privacy decisions about how how much data their apps can share on Apple’s iOs and Google’s Android operating systems. That number will only climb as privacy settings affect more of our devices and software.
Tired of waiting for the tech giants to fix the problem, Norman Sadeh’s team at Carnegie Mellon University developed a personal privacy assistant app powered by machine learning. The app learns your preferences by asking a few key questions about privacy, and a machine learning algorithm uses this data to group users into distinct profiles. The app can then make recommendations and give users a single dashboard to manage their data and privacy settings.
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