8 episodes

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.

Algorithms decide who receives social services, goes to jail, gets into college, qualifies for loans, or lands a job. We also look to AI to read and interpret our emotions, determining whether we’re happy, sad, angry, distracted… or even a threat. Tech Review’s editors and reporters explore the impact of artificial intelligence on the way our future will work.

In Machines We Trust MIT Technology Review

    • Technology
    • 4.7 • 7 Ratings

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.

Algorithms decide who receives social services, goes to jail, gets into college, qualifies for loans, or lands a job. We also look to AI to read and interpret our emotions, determining whether we’re happy, sad, angry, distracted… or even a threat. Tech Review’s editors and reporters explore the impact of artificial intelligence on the way our future will work.

    What’s Behind a Smile

    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.

    We meet: 

    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 Gideon Lichfield. 

    • 26 min
    AI in the Driver’s Seat

    AI in the Driver’s Seat

    Automated driving is advancing all the time, but there’s still a critical missing ingredient: trust. Host Jennifer Strong meets engineers building a new language of communication between automated vehicles and their human occupants, a crucial missing piece in the push toward a driverless future.

    We meet: 
    Dr. Richard Corey and Dr. Nicholas Giudice, founders of the VEMI Lab at the University of Maine
    Ryan Powell, UX Design & Research at Waymo.
    Rashed Haq, VP of Robotics at Cruise

    Credits: This episode was reported and produced by Jennifer Strong,Tanya Basu, Emma Cillekens and Tate Ryan-Mosley. We had help from Karen Hao and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. 

    • 23 min
    Down and Dirty with Covid Genes

    Down and Dirty with Covid Genes

    What weird bugs did you pick up last time you rode a subway train? A global network of scientists mapping the DNA of urban microbes and using AI to look for patterns pivots to tracking covid-19. Join host Jennifer Strong as she rides along on a subway-swabbing mission and talks to scientists racing to find an existing drug that might treat the disease.

    We meet: 
    Weill Cornell Medicine's Christopher Mason and David Danko
    BenevolentAI CEO Baroness Joanna Shields

    Credits: This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley, Emma Cillekens and Karen Hao with help from Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. Our technical director is Jacob Gorski. 

    • 21 min
    When an Algorithm Gets It Wrong

    When an Algorithm Gets It Wrong

    What happens when an algorithm gets it wrong? In the first of a four-part series on face ID, Jennifer Strong and the team at MIT Technology Review explore the arrest of a man who was falsely accused of a crime using facial recognition. The episode also starts to unpack the complexities of this technology and introduce some thorny questions about its use.  

    We meet: 
    Robert and Melissa Williams 
    Peter Fussey, University of Essex
    Hamid Khan, Stop LAPD Spying Coalition

    Credits: This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley and Emma Cillekens. We had help from Karen Hao and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. Our technical director is Jacob Gorski. Special thanks to Kyle Thomas Hemingway and Eric Mongeon.

    • 19 min
    Land of a Billion Faces

    Land of a Billion Faces

    Clearview AI has built one of the most comprehensive databases of people’s faces in the world. Your picture is probably in there (our host Jennifer Strong’s was). In part two of this four-part series on facial recognition, we meet the CEO of the controversial company who tells us our future is filled with face ID— regardless of whether it's regulated or not.

    We meet: 
    Hoan Ton-That, Clearview AI 
    Alexa Daniels-Shpall, Police Executive Research Forum 

    Credits: 
    This episode was reported and produced by Jennifer Strong, with Tate Ryan-Mosely and Emma Cillekens, with special thanks to Karen Hao and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. Our technical director is Jacob Gorski.

    • 21 min
    What Happens in Vegas… Is Captured on Camera

    What Happens in Vegas… Is Captured on Camera

    The use of facial recognition by police has come under a lot of scrutiny. In part three of our four-part series on face ID, host Jennifer Strong takes you to Sin City, which actually has one of America’s most buttoned-up policies on when cops can capture your likeness. She also finds out why celebrities like Woody Harrelson are playing a starring role in conversations about this technology. 

    We meet: 
    Albert Fox Cahn, Surveillance Technology Oversight Project
    Phil Mayor, ACLU Michigan
    Captain Dori Koren, Las Vegas Police 
    Assistant Chief Armando Aguilar, Miami Police 

    Credits: 
    This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley and Emma Cillekens. We had help from Benji Rosen and Karen Hao. We’re edited by Michael Reilly and Gideon Lichfield. Our technical director is Jacob Gorski. 

    • 24 min

Customer Reviews

4.7 out of 5
7 Ratings

7 Ratings

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