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In Machines We Trust
12 minutes | Oct 13, 2021
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 email@example.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.
26 minutes | Sep 29, 2021
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 TogeliusWill Douglas-HeavenDavid Silver David Fahri We Talked To: Julian TogeliusWill Douglas-HeavenKaren HaoDavid Silver David Fahri Natasha ReganSounds From:Jeopardy 2011-02:The IBM Challengehttps://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 Kinghttps://www.youtube.com/watch?v=c0JK5Fa3AqI Miracle Perfect Anti Mage 16/0 - Dota 2 Pro Gameplayhttps://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.
31 minutes | Aug 4, 2021
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 ProgramIan Siegel, CEO, ZipRecruiterSami Mäkeläinen, Head of Strategic Foresight, TelstraSalil Pande, CEO, VMockGracy Sarkissian, Interim Executive Director, Wasserman Center for Career Development, New York UniversityWe Talked To: Jamaal Eggleston, Work Readiness Instructor, The HOPE ProgramStudents and Teachers from The HOPE Program in Brooklyn, NYJonathan Kestenbaum, Co-founder & Managing Director of Talent Tech LabsJosh Bersin, Global Industry AnalystBrian Kropp, Vice President Research, GartnerIan Siegel, CEO, ZipRecruiterSami Mäkeläinen, Head of Strategic Foresight, TelstraSalil Pande, CEO, VMockKiran Pande, Co-Founder, VMockGracy Sarkissian, Interim Executive Director, Wasserman Center for Career Development, New York UniversitySounds 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.
37 minutes | Jul 21, 2021
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 CareSafe Hammad, CTO, Arctic Shores Alexandra Reeve Givens, President and CEO, Center for Democracy and TechnologyNathaniel Glasser, Employment Lawyer, Epstein Becker GreenKeith Sonderling, Commissioner, Equal Employment Opportunity Commission (EEOC)We Talked To: Aaron Rieke, Managing Director, UpturnAdam Forman, Employment Lawyer, Epstein Becker GreenBrian Kropp, Vice President Research, GartnerJosh Bersin, Research AnalystJonathan Kestenbaum, Co-Founder and Managing Director, Talent Tech LabsFrank Pasquale, Professor, Brooklyn Law SchoolPatricia (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 CareSafe Hammad, CTO, Arctic Shores Alexandra Reeve Givens, President and CEO, Center for Democracy and TechnologyNathaniel Glasser, Employment Lawyer, Epstein Becker GreenKeith 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.
30 minutes | Jul 7, 2021
Want a job? The AI will see you now.
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.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 Claypool, policy expert and former Director of the U.S. Health and Human Services Office on Disability Sounds From: Curious Thing AI myInterview Dolly Parton - 9 To 5: https://www.youtube.com/watch?v=UbxUSsFXYo4 Arirang News: https://www.youtube.com/watch?v=30oCHwwLxy4 CBS News: https://www.youtube.com/watch?v=fbRBCU6SHHo CBS Philly: https://www.youtube.com/watch?v=0wiPoCsZFFs Credits:This miniseries on hiring was reported by Hilke Schellmann and produced by Jennifer Strong, Emma Cillekens, Karen Hao and Anthony Green with special thanks to James Wall. We’re edited by Michael Reilly. Art direction by Stephanie Arnett.
34 minutes | Jun 23, 2021
Hired by an algorithm
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.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/2021/06/23/1026825/linkedin-ai-bias-ziprecruiter-monster-artificial-intelligence/https://www.technologyreview.com/2021/02/11/1017955/auditors-testing-ai-hiring-algorithms-bias-big-questions-remain/https://www.technologyreview.com/2021/04/09/1022217/facebook-ad-algorithm-sex-discrimination/https://www.technologyreview.com/2019/11/07/75194/hirevue-ai-automated-hiring-discrimination-ftc-epic-bias/https://www.technologyreview.com/2020/02/14/844765/ai-emotion-recognition-affective-computing-hirevue-regulation-ethics/
21 minutes | Jun 9, 2021
When AI becomes childsplay
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. 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 FloridaTanya 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.
21 minutes | May 26, 2021
Encore: 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 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.
19 minutes | May 12, 2021
Can AI fix your credit?
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.We meet:Chi Chi Wu, staff attorney at National Consumer Law Center Michele Gilman, professor of law at University of BaltimoreMike 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.
28 minutes | Apr 28, 2021
AI finds its voice
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. We meet:Susan C. Bennett, voice of SiriCade Metz, The New York TimesCharlotte Jee, MIT Technology ReviewCreditsThis episode was produced by Jennifer Strong, Emma Cillekens, Anthony Green, Karen Hao and Charlotte Jee. We’re edited by Michael Reilly and Niall Firth.
19 minutes | Apr 14, 2021
What’s AI doing in your wallet?
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.We meet:Umar Farooq, CEO of Onyx by J.P. Morgan ChaseJosh Woodward, Director of product management for Google PayEd McLaughlin, President of operations and technology for MasterCardCraig Vosburg, Chief product officer for MasterCardCreditsThis 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.
22 minutes | Mar 31, 2021
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 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.
3 minutes | Mar 24, 2021
We're back with a new season!
Host Jennifer Strong and MIT Technology Review’s editors explore what it means to entrust AI with our most sensitive decisions.
28 minutes | Dec 19, 2020
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 AarabiBiometrics 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.
21 minutes | Dec 16, 2020
Timnit Gebru Tells Her Story
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.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.
21 minutes | Dec 9, 2020
Your Face Could Be Your Ticket
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. We meet: Donnie Scott, senior vice president of public security, IDEMIAMichael D'Auria, vice president of business development, Second SpectrumJason Gay, sports columnist, The Wall Street JournalRachel Goodger, director of business development, FancamRich 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.
23 minutes | Dec 1, 2020
No Face... No Service
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.We meet: Eric Williams, senior staff attorney at Detroit Justice CenterFabian Rogers, community advocate at Surveillance Technology Oversight ProjectHelen Knight, founder of Tech for Social GoodRay Bolling, president and co-founder of Eyemetric Identity SystemsMary 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.
18 minutes | Nov 18, 2020
When the Camera Turns on Police
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. 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.
24 minutes | Nov 3, 2020
Encore: 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. This episode was originally published August 12, 2020.We meet: Albert Fox Cahn, Surveillance Technology Oversight ProjectPhil Mayor, ACLU MichiganCaptain 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.
25 minutes | Oct 28, 2020
EmTech Stage: Twitter's CTO on Misinformation
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.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.
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