Today’s guests have written a study about the Google Search engine, and the subtle – and not-so-subtle – ways in which it shows its bias, and in many ways perpetuates tired old stereotypes. Orestis Papakyriakopoulos is a postdoctoral research associate at Princeton’s Center for Information Technology Policy. His research showcases political issues and provides ideas, frameworks, and practical solutions towards just, inclusive and participatory algorithms. Arwa Michelle Mboya is a research assistant at the MIT Media Lab. She is a virtual reality programmer and researcher who investigates the socio-economic effects of enhanced imagination.
If you've ever felt like your personal technology devices know you a little too well, this podcast is for you. Here's a short introduction to Cookies: Tech Security & Privacy, brought to you by the Princeton University School of Engineering and Applied Science. ...
While we're using electronic gadgets, apps, platforms and websites, they are often using us as well, including tracking our personal data. The premiere episode of our new podcast features Arvind Narayanan, associate professor of computer science here at the Princeton University School of Engineering and Applied Science. He is a widely recognized expert in the area of information privacy and fairness in machine learning. This conversation was so good, we split it into two episodes. This is the first half of our conversation. In this half, he discusses “cross-device tracking,” in which one electronic device (say, your work laptop) sends you ads based on your browsing activity on another device (say, your mobile phone). He talks about which web browsers are more likely to allow third-party trackers to record your activity. And he talks about steps you can take to protect yourself against these trackers. ...
This is the second half of our conversation with Arvind Narayanan, associate professor of computer science here at the Princeton University School of Engineering and Applied Science. He is a widely recognized expert in the area of information privacy and fairness in machine learning, with a huge Twitter following and a knack for explaining tech privacy matters in terms anyone can understand. In this half of our conversation, he talks about why he’s so active on Twitter, but not the Facebook platforms. He talks about his research into “over-the-top” set-top devices like Roku and Amazon Fire TV, and how they provide content that looks like television content but takes your data like the Internet apps they are. He has critical things to say about Zoom, the platform so many of us are using to work from home. And he discusses one group of people who have seen their privacy actually improve as a result of social media. ...
