Episode 83: Understanding Differential Privacy with Chang Liu

Differential privacy is a technology that's quickly moving from academia into business. And it’s not just the big companies that are using it. With the intersection of trust and AI a hot topic right now, differential privacy is well on its way to becoming an integral part of the conversation. In this episode, Jon Prial welcomes Chang Liu to the show. Chang is an Applied Research Scientist at Georgian Partners and an expert on differential privacy. In the episode, they talk about what differential privacy is, why it’s important, and why every company needs to think about having it as part of its product and technical strategy. You'll hear about: - The limits of data anonymization - What differential privacy is and why it's so important - Ways to protect your data and be differentially private - What epsilon is and what its role is - Differential privacy's potential to solve the cold-start problem - Implications for trust To learn more about this episode, check out the show notes: http://bit.ly/2MTjjLR