MIT Technology Review Narrated

Latest Episodes:

In Machines We Trust: How games teach AI to learn for itself Sep 29, 2021

Show notes

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.

In Machines We Trust: Beating the AI hiring machines Aug 04, 2021

Show notes

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.

In Machines We Trust: Playing the job market Jul 21, 2021

Show notes

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.

In Machines We Trust: Want a job? The AI will see you now. Jul 07, 2021

Show notes

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.

In Machines We Trust: Hired by an algorithm Jun 23, 2021

Show notes

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/

In Machines We Trust: When AI becomes childsplay Jun 09, 2021

Show notes

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 Florida

Tanya Basu, MIT Technology Review

Credits:

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) May 26, 2021

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: Can AI fix your credit? May 12, 2021

Show notes

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 Baltimore

Mike de Vere, CEO Zest AI

Credits:

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 Apr 28, 2021

Show notes

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 Siri

Cade Metz, The New York Times

Charlotte Jee, MIT Technology Review

Credits

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? Apr 14, 2021

Show notes

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 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 MasterCard

Credits

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.

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