MIT Technology Review Narrated
Alle afleveringen
204 afleveringen, van nieuw naar oud
-
In Machines We Trust: Decoding a future of fire
2 november 2022 · 20 min
A look at how AI and other tech is being used to help predict, detect, and pinpoint the location of wildfires in the second of a two-part series. Lees meer
We Meet:
Tricia Small, Television Producer, Small Fox Films
George Whitesides, Space Executive
Brittany Zajic, Disaster Response, Planet Labs
Dave Winnacker, Fire Chief, Moraga-Orinda Fire District
Arvind Satyam, Chief Commercial Officer, PanoCredits:
This episode was reported and produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan and contains original music from Garret Lang and Jacob Gorski. Our mix engineer is Garret Lang and our artwork is by Stephanie Arnett. -
In Machines We Trust: How AI watches wildfires
26 oktober 2022 · 18 min
A look at how AI and other tech is being used to help predict, detect, and pinpoint the location of wildfires in the first of a two-part series. Lees meer
We meet:
Dustin Tetrault, Deputy Fire Chief, Big Sky Fire Department
Sankar Narayanan, Chief Practice Officer, Fractal AnalyticsCredits:
This episode was reported and produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan and contains original music from Garret Lang and Jacob Gorski. Our mix engineer is Garret Lang and our artwork is by Stephanie Arnett. -
In Machines We Trust: I Was There When... AI replicated Darth Vader
19 oktober 2022 · 14 min
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 and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them.
In this episode we meet Alex Serdiuk, founder and CEO of Respeecher. Lees meerCREDITS: This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan and mixed by Garret Lang with original music by Jacob Gorski. The art is from Eric Mongeon and Stephanie Arnett.
-
In Machines We Trust: AI finds its voice
12 oktober 2022 · 28 min
Synthetic voice technologies are increasingly passing as human. But today’s voice assistants are still a far cry from the hyper-intelligent thinking machines we’ve been musing about for decades. In this episode, we explore how machines learn to communicate—and what it means for the humans on the other end of the conversation.
In this encore edition we revisit an episode from last year. Lees meerLinks to our reporting:
https://www.technologyreview.com/2022/10/18/1061320/digital-clones-of-dead-people/
https://www.technologyreview.com/topic/artificial-intelligence/voice-assistants/We meet:
Susan C. Bennett, voice of Siri
Cade Metz, The New York Times
Charlotte Jee, MIT Technology ReviewCredits:
This episode was produced by Jennifer Strong, Emma Cillekens, Anthony Green, Karen Hao and Charlotte Jee. This episode was edited by Michael Reilly and Niall Firth. -
In Machines We Trust: I Was There When... AI mastered chess
5 oktober 2022 · 12 min
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 and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them.
In this episode we meet one of the world's greatest chess players, Garry Kasparov.
CREDITS: This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan and mixed by Garret Lang with original music by Jacob Gorski. The art is from Eric Mongeon and Stephanie Arnett. Lees meer -
In Machines We Trust: Seeing double: AI births digital humans
28 september 2022 · 19 min
Digital twins of humans capture the physical look and expressions of real humans. Increasingly these replicas are showing up in the entertainment industry and beyond and it gives rise to some interesting opportunities as well as thorny questions. Lees meer
We speak to:
Greg Cross, CEO and co-founder of Soul MachinesCredits: This episode was produced by Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski.
-
In Machines We Trust: Real-Time Farming (Audio Postcard)
21 september 2022 · 11 min
Who wants to take a walk around a California vineyard to explore how it’s deploying sensors and other forms of AI? Join us for a field trip as we do something a little bit different this week. Lees meer
We meet:
Dirk Heuvel, vice president of vineyard operations, McManis Family VineyardsCredits:
This episode was produced by Jennifer Strong with help from Anthony Green and Emma Cillekens. It was edited by Mat Honan and mixed by Garret Lang, with original music from Jacob Gorski. Art direction by Stephanie Arnett. -
In Machines We Trust: How retail is using AI to prevent fraud
7 september 2022 · 17 min
Retailers face an evolving landscape of fraud tactics each day. It’s why companies are increasingly turning to AI to try and catch threat patterns never seen before, and block attacks before they happen. While this approach lends itself to efficiency, it’s also one that relies on increasingly complex data profiles of consumers. In this episode, we peer into the world of retail fraud detection. Lees meer
We Meet:
David Cost, VP of ecommerce and marketing at Rainbow Apparel
Will Douglas Heaven, senior editor for AI at MIT Technology Review
Rajesh Ramanand, co-founder & CEO at SignifydCredits:
This episode was reported by Jennifer Strong and produced by Anthony Green and Emma Cillekens, It was edited by Mat Honan and contains original music from Garret Lang and Jacob Gorski. Our mix engineer is Garret Lang and our artwork is made by Stephanie Arnett. -
In Machines We Trust: I Was There When... AI helped create a vaccine
24 augustus 2022 · 10 min
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 and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them.
In this episode we meet Dave Johnson, the chief data and artificial intelligence officer at Moderna.
CREDITS: This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Michael Reilly and mixed by Garret Lang with original music by Jacob Gorski. The art is from Eric Mongeon and Stephanie Arnett. Lees meer -
In Machines We Trust: How to craft effective AI policy (Live)
10 augustus 2022 · 21 min
A conversation about equity and what it takes to make effective AI policy taped before a live audience at MIT Technology Review’s annual AI conference, EmTech Digital. Lees meer
We Meet:
Nicol Turner Lee, director of the Center for Technology at the Brookings Institution
Anthony Green, producer of the In Machines We Trust podcastCredits:
This episode was created by Jennifer Strong, Anthony Green, Erin Underwood and Emma Cillekens. It was edited by Michael Reilly, directed by Laird Nolan and mixed by Garret Lang. Episode art by Stephanie Arnett. Cover art by Eric Mongeon. Special thanks this week to Amy Lammers and Brian Bryson. -
In Machines We Trust: Can AI keep guns out of schools?
27 juli 2022 · 19 min
Amid a growing epidemic of gun violence, can AI be part of the solution? In this episode we look at some of the weapons detection technologies schools are using in an effort to try to keep students safe. Lees meer
We Meet:
Gary Hough, superintendent of Fayette County schools
Mark Keierleber, investigative reporter at The 74
Mike Ellenbogen, Founder, chief innovation officer at Evolv Technologies
Donald Maye, head of operations at IPVMSounds From:
Spielberg, S. (2002). Minority Report. Twentieth Century Fox.
Avigilon Athena Security integration for Gun Detection, via YouTubeCredits:
This episode was produced by Anthony Green and Emma Cillekens with reporting from Mark Keierleber. It was edited by Jennifer Strong, Rachel Courtland and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski and art from Stephanie Arnett. -
In Machines We Trust: I Was There When... AI became the DJ
13 juli 2022 · 13 min
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 and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them. Lees meer
In this episode we meet Gustav Söderström, who helped create algorithms aiming to understand our taste in music.
CREDITS: This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Michael Reilly and mixed by Garret Lang, with original music by Jacob Gorski. Artwork by Eric Mongeon.
-
In Machines We Trust: Who watches AI watching students?
29 juni 2022 · 22 min
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. Lees meerWe 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 & TechnologySounds 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. -
In Machines We Trust: When an algorithm gets it wrong (Encore)
16 maart 2022 · 21 min
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. Lees meer
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 CoalitionCredits: 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
16 februari 2022 · 4 min
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. Lees meer -
Welcome to The Extortion Economy
2 februari 2022 · 23 min
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. Lees meerWe Meet:
Fabian Wosar, CTO, Emsisoft
Doug Russell, Director of Technology, Haverhill Public Schools
Lisa Forte, Co-founder, Red Goat Cyber SecurityCredits:
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 -
In Machines We Trust: The AI of the beholder (Encore)
20 januari 2022 · 23 min
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. Lees meerWe meet:
Shafee Hassan, Qoves Studio founder
Lauren Rhue, Assistant Professor of Information Systems at the Robert H. Smith School of BusinessCredits:
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. -
In Machines We Trust: What’s behind a smile (Encore)
5 januari 2022 · 24 min
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. Lees meer
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.
-
In Machines We Trust: Attention shoppers, you’re being tracked (Update)
23 december 2021 · 27 min
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. Lees meer
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 AtickCredits:
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. -
In Machines We Trust: How AI is giving a woman back her voice
8 december 2021 · 23 min
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? Lees meer
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.
-
In Machines We Trust: What is AI? We made this to help.
24 november 2021 · 7 min
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. Lees meer
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.
-
In Machines We Trust: I Was There When... Facebook put profit over safety
10 november 2021 · 15 min
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. Lees meer
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. -
In Machines We Trust: How pricing algorithms learn to collude
27 oktober 2021 · 25 min
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. Lees meer
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. -
In Machines We Trust: I Was There When... Face recognition was commercialized
13 oktober 2021 · 13 min
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. Lees meerCREDITS: 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.
-
In Machines We Trust: How games teach AI to learn for itself
29 september 2021 · 27 min
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. Lees meer
We Meet:
Julian Togelius
Will Douglas-Heaven
David Silver
David FahriWe Talked To:
Julian Togelius
Will Douglas-Heaven
Karen Hao
David Silver
David Fahri
Natasha ReganSounds 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.aviGarry Kasparov VS Deep Blue 1997 6th game (Kasparov Resigns)
https://www.youtube.com/watch?v=EsMk1Nbcs-sAttack Like AlphaZero: The Power of the King
https://www.youtube.com/watch?v=c0JK5Fa3AqIMiracle Perfect Anti Mage 16/0 - Dota 2 Pro Gameplay
https://www.youtube.com/watch?v=59KnNcU9iKcDOTA 2 - ALL GAME-WINNING Moments in The International History (TI1-TI9)
https://www.youtube.com/watch?v=RJcNbuASl-YCredits:
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. -
In Machines We Trust: Beating the AI hiring machines
4 augustus 2021 · 31 min
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. Lees meer
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 UniversityWe 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, VMockGracy 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… -
In Machines We Trust: Playing the job market
21 juli 2021 · 37 min
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. Lees meer
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_6YYeXsCredits:
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. -
In Machines We Trust: Want a job? The AI will see you now.
7 juli 2021 · 30 min
In the past, hiring decisions were made by people. Today, some key decisions that lead to whether someone gets a job or not are made by algorithms. The use of AI-based job interviews has increased since the pandemic. As demand increases, so too do questions about whether these algorithms make fair and unbiased hiring decisions, or find the most qualified applicant. In this second episode of a four-part series on AI in hiring, we meet some of the big players making this technology including the CEOs of HireVue and myInterview—and we test some of these tools ourselves. Lees meer
We Meet:
Kevin Parker, Chairman & CEO, HireVue
Shelton Banks, CEO, re:work
Mark Adams, Vice President of North America, Curious Thing AI
Benjamin Gillman, Co-Founder and CEO, myInterview
Fred Oswald, Psychology Professor, Rice University
Suresh Venkatasubramanian, Computer Science Professor, Brown University
Clayton Donnelly, industrial-organizational psychologist, myInterview
We Talked To:
Kevin Parker, Chairman & CEO, HireVue
Lindsey Zuloaga, Chief Data Scientist, HireVue
Nathan Mondragon, Chief IO Psychologist, HireVue
Shelton Banks, CEO, re:work
Lisa Feldman Barrett, Psychology Professor, Northeastern University
Cathy O’Neil, CEO, O'Neil Risk Consulting & Algorithmic Auditing
Mark Adams, Vice President of North America, Curious Thing AI
Han Xu, Co-founder & CTO, Curious Thing AI
Benjamin Gillman, Co-founder & CEO, myInterview
Fred Oswald, Psychology Professor, Rice University
Suresh Venkatasubramanian, Computer Science Professor, Brown University
Clayton Donnelly, industrial-organizational psychologist, myInterview
Mark Gray, Director of People, Proper
Christoph Hohenberger, Co-founder and Managing Director, Retorio
Derek Mracek, Lead Data Scientist, Yobs
Raphael Danilo, Co-founder & CEO, Yobs
Jonathan Kestenbaum, Co-founder & Managing Director of Talent Tech Labs
Josh Bersin, Global Industry Analyst
Students and Teachers from the Hope Program in Brooklyn, NY
Henry Cla…
-
In Machines We Trust: Hired by an algorithm
23 juni 2021 · 34 min
If you’ve applied for a job lately, it’s all but guaranteed that your application was reviewed by software—in most cases, before a human ever laid eyes on it. In this episode, the first in a four-part investigation into automated hiring practices, we speak with the CEOs of ZipRecruiter and Career Builder, and one of the architects of LinkedIn’s algorithmic job-matching system, to explore how AI is increasingly playing matchmaker between job searchers and employers. But while software helps speed up the process of sifting through the job market, algorithms have a history of biasing the opportunities they present to people by gender, race...and in at least one case, whether you played lacrosse in high school. Lees meer
We Meet:
Mark Girouard, Attorney, Nilan Johnson Lewis
Ian Siegel, CEO, ZipRecruiter
John Jersin, former Vice President of Product Management, LinkedIn
Irina Novoselsky, CEO, CareerBuilder
We Talked To:
Mark Girouard, Attorney, Nilan Johnson Lewis
Ian Siegel, CEO, ZipRecruiter
John Jersin, former Vice President of Product Management, LinkedIn
Irina Novoselsky, CEO, CareerBuilder
Derek Kan, Vice President of Product Management, Monster
Aleksandra Korolova, Assistant Professor of Computer Science, University of Southern California
Brian Kropp, Vice President Research, Gartner
Matthew Neale, Vice President of Assessment Products, Criteria Corp
Josh Bersin, Research Analyst
Jonathan Kestenbaum, Co-Founder and Managing Director, Talent Tech Labs
Suresh Venkatasubramanian, Assistant Director, White House Office of Science and Technology Policy
Sounds From:
How to Keep a Job, Coronet Instructional Films: https://archive.org/details/HowtoKee1949
Curious Thing AI (Sound from their AI tool)
Credits:
This episode was reported by Hilke Schellmann, and produced by Jennifer Strong, Emma Cillekens and Anthony Green with special thanks to Karen Hao. We’re edited by Michael Reilly.Additional reporting from us:
https://www.technologyreview.com/2021/06/23/102… -
In Machines We Trust: When AI becomes childsplay
9 juni 2021 · 22 min
Despite their popularity with kids, tablets and other connected devices are built on top of systems that weren’t designed for them to easily understand or navigate. Adapting algorithms to interact with a child isn’t without its complications—as no one child is exactly like another. Most recognition algorithms look for patterns and consistency to successfully identify objects. but kids are notoriously inconsistent. In this episode, we examine the relationship AI has with kids. Lees meer
We Meet:
Judith Danovitch, associate professor of psychological and brain sciences at the University of Louisville
Lisa Anthony, associate professor of computer science at the University of Florida
Tanya Basu, MIT Technology ReviewCredits:
This episode was reported and produced by Tanya Basu, Anthony Green, Jennifer Strong, and Emma Cillekens. We’re edited by Michael Reilly. -
In Machines We Trust: Land of a Billion Faces (Encore)
26 mei 2021 · 22 min
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. Lees meer
We meet:
Hoan Ton-That, Clearview AI
Alexa Daniels-Shpall, Police Executive Research ForumCredits:
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: Can AI fix your credit?
12 mei 2021 · 19 min
Credit scores have been used for decades to assess consumer creditworthiness, but their scope is far greater now that they are powered by algorithms: not only do they consider vastly more data, in both volume and type, but they increasingly affect whether you can buy a car, rent an apartment, or get a full-time job. Lees meer
We meet:
Chi Chi Wu, staff attorney at National Consumer Law Center
Michele Gilman, professor of law at University of Baltimore
Mike de Vere, CEO Zest AICredits:
This episode was produced by Jennifer Strong, Karen Hao, Emma Cillekens and Anthony Green. We’re edited by Michael Reilly. -
In Machines We Trust: AI finds its voice
28 april 2021 · 29 min
Synthetic voice technologies are increasingly passing as human. But today’s voice assistants are still a far cry from the hyper-intelligent thinking machines we’ve been musing about for decades. In this episode, we explore how machines learn to communicate—and what it means for the humans on the other end of the conversation. Lees meer
We meet:
Susan C. Bennett, voice of Siri
Cade Metz, The New York Times
Charlotte Jee, MIT Technology ReviewCredits
This episode was produced by Jennifer Strong, Emma Cillekens, Anthony Green, Karen Hao and Charlotte Jee. We’re edited by Michael Reilly and Niall Firth. -
In Machines We Trust: What’s AI doing in your wallet?
14 april 2021 · 19 min
Tech giants are moving into our wallets—bringing AI and big questions with them.
Our entire financial system is built on trust. We can exchange otherwise worthless paper bills for fresh groceries, or swipe a piece of plastic for new clothes. But this trust—typically in a central government-backed bank—is changing. As our financial lives are rapidly digitized, the resulting data turns into fodder for AI. Companies like Apple, Facebook and Google see it as an opportunity to disrupt the entire experience of how people think about and engage with their money. But will we as consumers really get more control over our finances? In this first of a series on automation and our wallets, we explore a digital revolution in how we pay for things. Lees meerWe meet:
Umar Farooq, CEO of Onyx by J.P. Morgan Chase
Josh Woodward, Director of product management for Google Pay
Ed McLaughlin, President of operations and technology for MasterCard
Craig Vosburg, Chief product officer for MasterCardCredits
This episode was produced by Anthony Green, with help from Jennifer Strong, Karen Hao, Will Douglas Heaven and Emma Cillekens. We’re edited by Michael Reilly. Special thanks to our events team for recording part of this episode at our AI conference, Emtech Digital. -
In Machines We Trust: The AI of the beholder
31 maart 2021 · 23 min
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. Lees meerWe meet:
Shafee Hassan, Qoves Studio founder
Lauren Rhue, Assistant Professor of Information Systems at the Robert H. Smith School of BusinessCredits:
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. -
In Machines We Trust: We're back with a new season!
24 maart 2021 · 4 min
Host Jennifer Strong and MIT Technology Review’s editors explore what it means to entrust AI with our most sensitive decisions.
-
In Machines We Trust: Attention Shoppers: You’re Being Tracked
19 december 2020 · 29 min
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. Lees meer
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 AtickCredits:
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 and Gideon Lichfield. -
In Machines We Trust: Timnit Gebru Tells Her Story
16 december 2020 · 22 min
Two weeks after her forced exit, the AI ethics researcher reflects on her time at Google, how to increase corporate accountability, and the state of the AI field. Lees meer
We meet:
Dr. Timnit GebruFind more reporting:
https://www.technologyreview.com/2020/12/16/1014634/google-ai-ethics-lead-timnit-gebru-tells-story/
https://www.technologyreview.com/2020/12/04/1013294/google-ai-ethics-research-paper-forced-out-timnit-gebru/Google's email to employees:
https://twitter.com/JeffDean/status/1334953632719011840Gebru's email to the listserv Google Brain Women and Allies:
https://www.platformer.news/p/the-withering-email-that-got-an-ethicalThe petition from Google Walkout:
https://googlewalkout.medium.com/standing-with-dr-timnit-gebru-isupporttimnit-believeblackwomen-6dadc300d382Credits:
This episode was reported by Karen Hao, edited by Jennifer Strong, Niall Firth, Gideon Lichfield and Michael Reilly, and produced with help from Anthony Green, Emma Cillekens and Benji Rosen. -
In Machines We Trust: Your Face Could Be Your Ticket
9 december 2020 · 22 min
Face mapping and other tracking systems are changing the sports experience in the stands and on the court. In part-three of this latest series on facial recognition, Jennifer Strong and the team at MIT Technology Review jump on the court to unpack just how much things are changing. Lees meer
We meet:
Donnie Scott, senior vice president of public security, IDEMIA
Michael D'Auria, vice president of business development, Second Spectrum
Jason Gay, sports columnist, The Wall Street Journal
Rachel Goodger, director of business development, Fancam
Rich Wang, director of analytics and fan engagement, Minnesota VikingsCredits:
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 and Gideon Lichfield. -
In Machines We Trust: No Face... No Service
2 december 2020 · 24 min
Facial recognition technology is being deployed in housing projects, homeless shelters, schools, even across entire cities—usually without much fanfare or discussion. To some, this represents a critical technology for helping vulnerable communities gain access to social services. For others, it’s a flagrant invasion of privacy and human dignity. In this episode, we speak to the advocates, technologists, and dissidents dealing with the messy consequences that come when a technology that can identify you almost anywhere (even if you’re wearing a mask) is deployed without any clear playbook for regulating or managing it. Lees meer
We meet:
Eric Williams, senior staff attorney at Detroit Justice Center
Fabian Rogers, community advocate at Surveillance Technology Oversight Project
Helen Knight, founder of Tech for Social Good
Ray Bolling, president and co-founder of Eyemetric Identity Systems
Mary Sunden, executive director of the Christ Church Community Development CorporationCredits:
This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley, Emma Cillekens, and Karen Hao. We’re edited by Michael Reilly and Gideon Lichfield. -
In Machines We Trust: When the Camera Turns on Police
18 november 2020 · 18 min
Moves have been made to restrict the use of facial recognition across the globe. In part one of this series on face ID, Jennifer Strong and the team at MIT Technology Review explore the unexpected ways the technology is being used, including how the technology is being turned on police. Lees meer
We meet:
Christopher Howell, data scientist and protester.Credits:
This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley and Emma Cillekens, and Karen Hao. We’re edited by Michael Reilly and Gideon Lichfield. -
In Machines We Trust: What Happens in Vegas… Is Captured on Camera (Encore)
4 november 2020 · 25 min
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. This episode was originally published August 12, 2020. Lees meer
We meet:
Albert Fox Cahn, Surveillance Technology Oversight Project
Phil Mayor, ACLU Michigan
Captain Dori Koren, Las Vegas Police
Assistant Chief Armando Aguilar, Miami PoliceCredits:
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. -
In Machines We Trust: Twitter's CTO on Misinformation (Live)
29 oktober 2020 · 25 min
In the second of two exclusive interviews, Technology Review’s Editor-in-Chief Gideon Lichfield sat down with Parag Agrawal, Twitter’s Chief Technology officer to discuss the rise of misinformation on the social media platform. Agrawal discusses some of the measures the company has taken to fight back, while admitting Twitter is trying to thread a needle of mitigating harm caused by false content without becoming an arbiter of truth. This conversation is from the EmTech MIT virtual conference and has been edited for clarity. Lees meer
For more of coverage on this topic, check out this week's episode of Deep Tech: https://cms.megaphone.fm/channel/deep-tech?selected=MIT6065037377 and our coverage at https://www.technologyreview.com/topic/tech-policy/
Credits: This episode from EmTech MIT was produced by Jennifer Strong and Emma Cillekens, with special thanks to Brian Bryson and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield.
-
In Machines We Trust: Facebook's CTO on Misinformation (Live)
29 oktober 2020 · 19 min
Misinformation and social media have become inseparable from one another; as platforms like Twitter and Facebook have grown to globe-spanning size, so too has the threat posed by the spread of false content. In the midst of a volatile election season in the US and a raging global pandemic, the power of information to alter opinions and save lives (or endanger them) is on full display. In the first of two exclusive interviews with two of the tech world’s most powerful people, Technology Review’s Editor-in-Chief Gideon Lichfield sits down with Facebook CTO Mike Schroepfer to talk about the challenges of combating false and harmful content on an online platform used by billions around the world. This conversation is from the EmTech MIT virtual conference and has been edited for length and clarity. Lees meer
For more of coverage on this topic, check out this week's episode of Deep Tech: https://cms.megaphone.fm/channel/deep-tech?selected=MIT6065037377 and our coverage at https://www.technologyreview.com/topic/tech-policy/
Credits: This episode from EmTech was produced by Jennifer Strong and Emma Cillekens, with special thanks to Brian Bryson and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield.
-
In Machines We Trust: What is AI? We Made This to Help.
21 oktober 2020 · 9 min
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. Lees meer
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?
7 oktober 2020 · 25 min
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. Lees meer
We meet:
Shruti Sharma, VSCO
Gabi Zijderveld, Affectiva
Tim VanGoethem, Harman
Rohit Prasad, Amazon
Meredith Whittaker, NYU's AI Now InstituteCredits: 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
23 september 2020 · 27 min
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. Lees meer
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
9 september 2020 · 24 min
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. Lees meer
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 CruiseCredits: 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
26 augustus 2020 · 22 min
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. Lees meer
We meet:
Weill Cornell Medicine's Christopher Mason and David Danko
BenevolentAI CEO Baroness Joanna ShieldsCredits: 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
12 augustus 2020 · 19 min
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. Lees meer
We meet:
Robert and Melissa Williams
Peter Fussey, University of Essex
Hamid Khan, Stop LAPD Spying CoalitionCredits: 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.