A podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.
Encore: The AI of the beholder
Computers are ranking the way people look—and the results are influencing the things we do, the posts we see, and the way we think.
Ideas about what constitutes “beauty” are complex, subjective, and by no means limited to physical appearances. Elusive though it is, everyone wants more of it. That means big business and increasingly, people harnessing algorithms to create their ideal selves in the digital and, sometimes, physical worlds. In this episode, we explore the popularity of beauty filters, and sit down with someone who’s convinced his software will show you just how to nip and tuck your way to a better life.
Shafee Hassan, Qoves Studio founder
Lauren Rhue, Assistant Professor of Information Systems at the Robert H. Smith School of Business
This episode was reported by Tate Ryan-Mosley, and produced by Jennifer Strong, Emma Cillekens, Karen Hao and Anthony Green. We’re edited by Michael Reilly and Bobbie Johnson.
Encore: What’s Behind a Smile
Researchers have spent years trying to crack the mystery of how we express our feelings. Pioneers in the field of emotion detection will tell you the problem is far from solved. But that hasn’t stopped a growing number of companies from claiming their algorithms have cracked the puzzle. In part one of a two-part series on emotion AI, Jennifer Strong and the team at MIT Technology Review explore what emotion AI is, where it is, and what it means.
Rana El Kaliouby, Affectiva
Lisa Feldman Barrett, Northeastern University
Karen Hao, MIT Technology Review
Credits: This episode was reported and produced by Jennifer Strong and Karen Hao, with Tate Ryan-Mosley and Emma Cillekens. We had help from Benji Rosen. We’re edited by Michael Reilly and our theme music is by Jacob Gorski.
Encore: Attention Shoppers, You’re Being Tracked
Cameras in stores aren’t anything new—but these days there are AI brains behind the electric eyes. In some stores, sophisticated systems are tracking customers in almost every imaginable way, from recognizing their faces to gauging their age, their mood, and virtually gussying them up with makeup. The systems rarely ask for people’s permission, and for the most part they don’t have to. In our season 1 finale, we look at the explosion of AI and face recognition technologies in retail spaces, and what it means for the future of shopping.
RetailNext CTO Arun Nair,
L'Oreal's Technology Incubator Global VP Guive Balooch,
Modiface CEO Parham Aarabi
Biometrics pioneer and Chairman of ID4Africa Joseph Atick
This episode was reported and produced by Jennifer Strong, Anthony Green, Tate Ryan-Mosley, Emma Cillekens and Karen Hao. We’re edited by Michael Reilly. Our theme music is by Jacob Gorski.
How AI is giving a woman back her voice
Voice technology is one of the biggest trends in the healthcare space. We look at how it might help care providers and patients, from a woman who is losing her speech, to documenting healthcare records for doctors. But how do you teach AI to learn to communicate more like a human, and will it lead to more efficient machines?
Kenneth Harper, VP & GM, Healthcare Virtual Assistants and Ambient Clinical Intelligence at Nuance
Bob MacDonald, Technical Program Manager, Project Euphonia, Google
Julie Cattiau, Project Manager, Project Euphonia, Google
Andrea Peet, Project Euphonia user
David Peet, Attorney, husband of Andrea Peet
Hod Lipson, Professor of Innovation in the Department of Mechanical Engineering; Co-Director, Maker Space Facility, Columbia University.
The Exam of the Future Has Arrived - via Youtube
This episode was reported and produced by Anthony Green with help from Jennifer Strong and Emma Cillekens. It was edited by Michael Reilly. Our mix engineer is Garret Lang and our theme music is by Jacob Gorski.
What is AI? We made this to help.
Defining what is, or isn’t artificial intelligence can be tricky (or tough). So much so, even the experts get it wrong sometimes. That’s why MIT Technology Review’s Senior AI Editor Karen Hao created a flowchart to explain it all. In this bonus content our host and her team reimagined Hao’s reporting, gamifying it into a radio play.
If you would like to see the original reporting visit:
Credits: This episode was reported by Karen Hao. It was adapted for audio and produced by Jennifer Strong and Emma Cillekens. The voices you hear are Emma Cillekens, as well as Eric Mongeon and Kyle Thomas Hemingway. (If you like our show art they made it!) We’re edited by Michael Reilly and Niall Firth.
I Was There When: Facebook put profit over safety
In this episode, we meet Sophie Zhang—a former data scientist at Facebook. Before she was fired, she had become consumed by the task of finding and taking down fake accounts that were being used to sway elections globally.
I Was There When is a new oral history project from the In Machines We Trust podcast. It features stories of how breakthroughs and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them.
This episode was produced by Jennifer Strong, Anthony Green and Emma Cillekens, and edited by Niall Firth and Mat Honan. It’s mixed by Garret Lang, with theme music by Jacob Gorski.