MIT Technology Review Narrated

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 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. 

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.

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.

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.

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.

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/

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.

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.

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.