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.
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Who watches AI watching students?
A boy wrote about his suicide attempt. He didn’t realize his school's software was watching. While schools commonly use AI to sift through students' digital lives and flag keywords that may be considered concerning, critics ask at what cost to privacy. We Meet: Jeff Patterson, CEO of Gaggle Mark Keierleber, investigative reporter at The 74 Teeth Logsdon-Wallace, student Elizabeth Laird, director of Equity in Civic Technology at Center for Democracy & Technology Sounds From: "Your Heart is a Muscle the Size of Your Fist" from the band Ramshackle Glory's 2011 album Live the Dream. "Spying or protecting students? CBS46 Investigates school surveillance software" from CBS46 in Atlanta, GA on February 14, 2022. "Student Surveillance Software: Schools know what your child is doing online. Do you?" from WSPA7 News in Greenville, SC on May 5, 2021. "Spying or protecting students? CBS46 Investigates school surveillance software" from News 5 in Cleveland, OH on February 5, 2020. Credits: This episode was produced by Anthony Green and Emma Cillekens with reporting from Mark Keierleber. It was edited by Jennifer Strong and Michael Reilly, and mixed by Garret Lang with original music from Jacob Gorski. Art by Stephanie Arnett. https://www.theguardian.com/education/2021/oct/12/school-surveillance-dragnet-suicide-attempt-healing https://www.the74million.org/contributor/mark-keierleber/ You can support our journalism by going to http://www.techreview.com/subscribe.
Encore: When an Algorithm Gets It Wrong
The team that brings you In Machines We Trust has much to be grateful for—a brand new season of this show, a big awards nomination for The Extortion Economy, a show about ransomware that we made with ProPublica, and our new investigative series, Curious Coincidence. We celebrate how far we've come with a look back at where it all started! -- 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.
Welcome to Curious Coincidence
This is a detective story that’s unsolved. Hosted by investigative reporter Antonio Regalado, Curious Coincidence dives into the mysterious origins of Covid-19 by examining the genome of the virus, the labs doing sensitive research on dangerous pathogens, and questions of whether a lab accident may have touched off a global pandemic. A five-part investigation from MIT Technology Review.
Welcome to The Extortion Economy
This week we're sharing another tech show we made that we think you're going to love. It's called The Extortion Economy and it's a five-part series about the ransomware epidemic produced with ProPublica. See you soon with a whole new season of In Machines We Trust!! -- A new-age iteration of the old-age extortion problem. A ransomware vigilante, a piracy (as in actual boats) expert, a school administrator, and a kidnapping victim share their experiences. This is part one. We Meet: Fabian Wosar, CTO, Emsisoft Doug Russell, Director of Technology, Haverhill Public Schools Lisa Forte, Co-founder, Red Goat Cyber Security Credits: This series is hosted by Meg Marco and produced by Emma Cillekens, Tate Ryan-Mosley and Anthony Green. It’s inspired by reporting from Renee Dudley and Daniel Golden from ProPublica. We're edited by Bobbie Johnson, Michael Reilly, Mat Honan and Robin Fields. Our mix engineer is Erick Gomez with help from Rebekah Wineman. Our theme music is by Jacob Gorski. Art is from Lisa Larson-Walker and Eric Mongeon. Emma Cillekens is our voice coach. The executive producers of The Extortion Economy podcast are Meg Marco and Jennifer Strong. Sounds From: Video: Colonial Pipeline CEO Joseph Blount testifies at the Senate Homeland Security Committee, Source: CNBC Television, https://www.youtube.com/watch?v=DcYePKjI_mc Video: Roving Report Italy, Source: AP, http://www.aparchive.com/metadata/youtube/8b08bfc68a0b203d238aa8e0c4316e61 Video: CBS Evening News 1989-12-14, Source: CBS, https://www.youtube.com/watch?v=wHsbZEX5pQw
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. We meet: Shafee Hassan, Qoves Studio founder Lauren Rhue, Assistant Professor of Information Systems at the Robert H. Smith School of Business Credits: 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. 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 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. We meet: 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 Credits: 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? We Meet: 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. Sounds: The Exam of the Future Has Arrived - via Youtube Credits: 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: 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 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. Credits: 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.
How pricing algorithms learn to collude
Algorithms now determine how much things cost. It’s called dynamic pricing and it adjusts according to current market conditions in order to increase profits. The rise of ecommerce has propelled pricing algorithms into an everyday occurrence—whether you’re shopping on Amazon, booking a flight, hotel or ordering an Uber. We Meet: Lisa Wilkins, UX designer Gabe Smith, chief evangelist, Pricefx Aylin Caliskan, assistant professor, University of Washington Joseph Harrington, professor of business, economics and public policy, University of Pennsylvania Maxime Cohen, Scale AI Chair professor, McGill University Credits: This episode was reported by Anthony Green and produced by Jennifer Strong and Emma Cillekens. We’re edited by Mat Honan and our mix engineer is Garret Lang, with sound design and music by Jacob Gorski.
I Was There When: Facial Recognition was Commercialized
I Was There When is an oral history project that's part of the In Machines We Trust podcast. It features stories of how breakthroughs in artificial intelligence and computing happened, as told by the people who witnessed them. In this first installment we meet Joseph Atick who helped create the first commercially viable facial recognition system. Do you have a story to tell for this series? Do you want to nominate someone who does? We want to hear from you! Please reach out to us at podcasts@technologyreview.com. CREDITS: This episode was produced by Jennifer Strong, Anthony Green and Emma Cillekens with help from Lindsay Muscato. It’s edited by Michael Reilly and Mat Honan, and mixed by Garret Lang, with sound design and music by Jacob Gorski.
How games teach AI to learn for itself
From chess to Jeopardy to e-sports, AI is increasingly beating humans at their own games. But that was never the ultimate goal. In this episode we dig into the symbiotic relationship between games and AI. We meet the big players in the space, and we take a trip to an arcade. We Meet: Julian Togelius Will Douglas-Heaven David Silver David Fahri We Talked To: Julian Togelius Will Douglas-Heaven Karen Hao David Silver David Fahri Natasha Regan Sounds From: Jeopardy 2011-02:The IBM Challenge https://archive.org/details/Jeopardy.2011.02.The.IBM.Challenge/Jeopardy.2011.02.16.The.IBM.Challenge.Day.3.HDTV.XviD-FQM.avi Garry Kasparov VS Deep Blue 1997 6th game (Kasparov Resigns) https://www.youtube.com/watch?v=EsMk1Nbcs-s Attack Like AlphaZero: The Power of the King https://www.youtube.com/watch?v=c0JK5Fa3AqI Miracle Perfect Anti Mage 16/0 - Dota 2 Pro Gameplay https://www.youtube.com/watch?v=59KnNcU9iKc DOTA 2 - ALL GAME-WINNING Moments in The International History (TI1-TI9) https://www.youtube.com/watch?v=RJcNbuASl-Y Credits: This episode was reported by Jennifer Strong and Will Douglas Heaven and produced by Anthony Green, Emma Cillekens and Karen Hao. We’re edited by Niall Firth, Michael Reilly and Mat Honan. Our mix engineer is Garret Lang. Sound design and music by Jacob Gorski.
Beating the AI hiring machines
When it comes to hiring, it’s increasingly becoming an AI’s world, we’re just working in it. In this, the final episode of Season 2, and the conclusion of our series on AI and hiring, we take a look at how AI-based systems are increasingly playing gatekeeper in the hiring process—screening out applicants by the millions, based on little more than what they see in your resume. But we aren’t powerless against the machines. In fact, an increasing number of people and services are designed to help you play by—and in some cases bend—their rules to give you an edge. We Meet: Jamaal Eggleston, Work Readiness Instructor, The HOPE Program Ian Siegel, CEO, ZipRecruiter Sami Mäkeläinen, Head of Strategic Foresight, Telstra Salil Pande, CEO, VMock Gracy Sarkissian, Interim Executive Director, Wasserman Center for Career Development, New York University We Talked To: Jamaal Eggleston, Work Readiness Instructor, The HOPE Program Students and Teachers from The HOPE Program in Brooklyn, NY Jonathan Kestenbaum, Co-founder & Managing Director of Talent Tech Labs Josh Bersin, Global Industry Analyst Brian Kropp, Vice President Research, Gartner Ian Siegel, CEO, ZipRecruiter Sami Mäkeläinen, Head of Strategic Foresight, Telstra Salil Pande, CEO, VMock Kiran Pande, Co-Founder, VMock Gracy Sarkissian, Interim Executive Director, Wasserman Center for Career Development, New York University Sounds From: Curious Thing AI (Sound from their AI tool) HireVue Video Interview: How To Beat The Algorithm and Get The Job: https://youtu.be/jn0dc1cOctA HIREVUE Interview Questions, Tips and Answers! How to PASS a HireVue Interview!: https://youtu.be/ycG5_uccoNk Video Interview Techniques - 3 Easy Hacks To Prepare for Hirevue / Spark Hire / VidCruiter: https://youtu.be/tp0jt4hoHsI How to PASS Psychometric Tests | Tips & Tricks for Aptitude Tests, Numerical Reasoning, Game Based: https://youtu.be/u_nWOnJevaA Credits: This miniseries on hiring was reported by Hilke Schellmann and produced by Jennifer Strong, Emma Cillekens, Anthony Green and Karen Hao. We’re edited by Michael Reilly.
Playing the job market
Increasingly, job seekers need to pass a series of ‘tests’ in the form of artificial intelligence games—just to be seen by a hiring manager. In this third, of a four-part miniseries on AI and hiring, we speak to someone who helped create these tests, we ask who might get left behind in the process and why there isn’t more policy in place. We also try out some of these tools ourselves. We Meet: Matthew Neale, Vice President of Assessment Products, Criteria Corp. Frida Polli, CEO, Pymetrics Henry Claypool, Consultant and former Obama Administration Member, Commission on Long-Term Care Safe Hammad, CTO, Arctic Shores Alexandra Reeve Givens, President and CEO, Center for Democracy and Technology Nathaniel Glasser, Employment Lawyer, Epstein Becker Green Keith Sonderling, Commissioner, Equal Employment Opportunity Commission (EEOC) We Talked To: Aaron Rieke, Managing Director, Upturn Adam Forman, Employment Lawyer, Epstein Becker Green Brian Kropp, Vice President Research, Gartner Josh Bersin, Research Analyst Jonathan Kestenbaum, Co-Founder and Managing Director, Talent Tech Labs Frank Pasquale, Professor, Brooklyn Law School Patricia (Patti) Sanchez, Employment Manager, MacDonald Training Center Matthew Neale, Vice President of Assessment Products, Criteria Corp. Frida Polli, CEO, pymetrics Henry Claypool, Consultant and former Obama Administration Member, Commission on Long-Term Care Safe Hammad, CTO, Arctic Shores Alexandra Reeve Givens, President and CEO, Center for Democracy and Technology Nathaniel Glasser, Employment Lawyer, Epstein Becker Green Keith Sonderling, Commissioner, Equal Employment Opportunity Commission (EEOC) Sounds From: *Science 4-Hire, podcast *Matthew Kirkwold’s cover of XTC’s, Complicated Game, https://www.youtube.com/watch?v=tumM_6YYeXs Credits: This miniseries on hiring was reported by Hilke Schellmann and produced by Jennifer Strong, Emma Cillekens, Anthony Green and Karen Hao. We’re edited by Michael Reilly.