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 is 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, 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 at 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? Find out in the season finale of AI: Hype v Reality and watch Jessica try to fool AI with disguises at our YouTube channel.

Does AI have intuition? It’s tough to say. Some experts predict AI will take the guesswork out of stock markets, come out on top in high-stakes competitive games, and figure out what we’re thinking before we think it. But will it? And how soon? With so much data being fed into AI, it’s reasonable to assume raw computational power and better information are stand-ins for intuition itself, yet that doesn’t entirely explain AI’s ability to be … well … truly intelligent.

Jessica is joined by emerging technologies guru Dave Graham of Dell Technologies, Raphael Fiorentino of AI investing app Butterwire, Victor Kristof of sports prognostication startup Kickoff AI, Ani Kembhavi of the Allen Institute for Artificial Intelligence, and Professor Tuomas Sandholm of Carnegie Mellon University.

AI’s capacity for augmenting human intelligence is already helping humans making more educated guesses in several different arenas, by looking at wide swaths of historical data and trend analysis. But can it win at poker? Jessica goes head-to-head in Texas Hold ‘Em to find out just how intuitive AI can be.

Watch Jessica try to call the AI's bluff on our YouTube channel.

If you’ve been to a medical facility recently, you may have already had some of your healthcare provided for you by AI. Massive amounts of raw medical data have been compiled since medical imaging hit the scene, and with computing power up to the task, it can now be harnessed in novel, fascinating ways: diagnosing life-threatening diseases, plus assessing risk of disease and pregnancy complications. And that’s just the start.

With any new technology comes risk: More data can improve diagnosis, treatment, healthcare and operational efficiency, but sensitive data requires stringent security measures. It’s one thing if someone steals your credit card … quite another altogether if someone steals your DNA. Data scientists and security experts are working tirelessly to make sure AI’s arrival into the medical arena is a seamless, secure one.

Host Jessica Chobot checks in for a checkup and is joined on her wellness journey by Dave Graham of Dell Technologies, Eran Orr, Founder & CEO of AR/VR health startup XR Health, Dekel Gelbman of Boston biotech firm FDNA, and Joe Marks, Executive Director of the Center for Machine Learning and Health at Carnegie-Mellon University.

Can fully autonomous AI replace doctors, nurses, clinicians and surgeons? Will AI give Jessica a clean bill of health? Find out in this episode of Hype v. Reality. And head to our YouTube channel to watch Jessica's VR session.