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    Technology

    MIT Technology Review Narrated

    Welcome to MIT Technology Review Narrated, the home for the very best of our journalism in audio. Each week we will share one of our most ambitious stories, from print and online, narrated for us by real voice actors. Expect big themes, thought-provoking topics, and sharp analysis, all backed by our trusted reporting.

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    Latest Episodes:
    In Machines We Trust: What is AI? We Made This to Help. Oct 21, 2020
    Show notes

    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 Reporter Karen Hao created a flowchart to explain it all. In this bonus content our Host Jennifer Strong and her team reimagine Hao’s reporting, gamifying it into an audio postcard of sorts.


    If you would like to see the original reporting visit:

    https://www.technologyreview.com/2018/11/10/139137/is-this-ai-we-drew-you-a-flowchart-to-work-it-out/


    Credits: This episode was reported by Karen Hao. It was adapted for audio and produced by Jennifer Strong and Emma Cillekens. The voices you heard were Emma Cillekens, as well as Eric Mongeon and Kyle Thomas Hemingway from our art team. We’re edited by Michael Reilly and Niall Firth.


    In Machines We Trust: AI Reads Human Emotions. Should It? Oct 07, 2020
    Show notes

    AI can read your emotional response to advertising and your facial expressions in a job interview. But if it can already do all this, what happens next? In part two of a series on emotion AI, Jennifer Strong and the team at MIT Technology Review explore the implications of how it’s used and where it’s heading in the future.


    We meet:

    Shruti Sharma, VSCO

    Gabi Zijderveld, Affectiva

    Tim VanGoethem, Harman

    Rohit Prasad, Amazon

    Meredith Whittaker, NYU's AI Now Institute


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


    In Machines We Trust: What’s Behind a Smile Sep 23, 2020
    Show notes

    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.


    In Machines We Trust: AI in the Driver’s Seat Sep 09, 2020
    Show notes

    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.


    In Machines We Trust: Down and Dirty with Covid Genes Aug 26, 2020
    Show notes

    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.


    In Machines We Trust: When an Algorithm Gets It Wrong Aug 12, 2020
    Show notes

    What happens when an algorithm gets it wrong? In the first of a four-part series on face recognition, 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.


    In Machines We Trust: Land of a Billion Faces Aug 12, 2020
    Show notes

    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 the second of a four-part series on facial recognition, we meet the CEO of the controversial company who tells us our future is filled with face recognition—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.


    In Machines We Trust: What Happens in Vegas… Is Captured on Camera Aug 12, 2020
    Show notes

    The use of facial recognition by police has come under a lot of scrutiny. In part-three of our series, 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.


    In Machines We Trust: Who Owns Your Face? Aug 12, 2020
    Show notes

    Police have a history of using face recognition to arrest protestors—something not lost on activists since the death of George Floyd. In the last of a four-part series on facial recognition, host Jennifer Strong explores the way forward for the technology and examines what policy might look like.


    We meet:

    Artem Kuharenko, NTechLab

    Deborah Raji, AI Now Institute

    Toussaint Morrison, Musician, actor, and Black Lives Matter organizer

    Jameson Spivack, Center on Privacy & Technology


    Credits:

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


    Coming August 12th Jul 11, 2020
    Show notes

    Welcome to a podcast about the automation of everything. Host Jennifer Strong and MIT Technology Review’s editors explore what it means to entrust AI with our most sensitive decisions.


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