Computer vision technology is already being used in a number of ways. Facial recognition is being used in lieu of boarding passes by some airlines. Facial biometrics can be used to unlock our devices—and even our doors. Conservationists are using the technology to identify and conserve rare species and promote biodiversity. Yet with this increasingly powerful technology comes increasing concern about other ways it may be used. Can we be tracked everywhere we go? What can be done to mitigate privacy loss, bias, and identity theft? In this episode of AI: Hype vs. Reality, host Jessica Chobot talks with experts to explore how this artificial intelligence technology works and how it’s being applied in schools, stadiums, retail and in the wild. She’s joined by machine learning and computer vision professor Ali Farhadi from the University at Washington, tech-for-social-good advocate and researcher Jason Goodman at Cal-Berkeley, and computer science professor Tanya Berger-Wolf of University at Illinois. And finally, Jessica puts current-day tech to the test with Shaun Moore, co-founder of Trueface. What really happens when computer vision is used in combination with CCTV security cameras? How close are we to living in a world where security checks are quick and seamless, fingerprints and passwords are a thing of the past, and governments or corporations are truly tracking us everywhere we go?