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PODCAST

MIT Technology Review Narrated

MIT Technology Review

Welcome to MIT Technology Review Narrated, the home for the very best of our journalism in audio. Each week we will share one of our most ambitious stories, from print and online, narrated for us by real voice actors. Expect big themes, thought-provoking topics, and sharp analysis, all backed by our trusted reporting.

technology tech news

All Episodes

21:42

Who watches AI watching students?

MIT Technology Review Narrated ·

2022/06/29

A boy wrote about his suicide attempt. He didn’t realize his school's software was watching. While schools commonly use AI to sift through students' digital lives and flag keywords that may be considered concerning, critics ask at what cost to privacy. We Meet: Jeff Patterson, CEO of Gaggle Mark Keierleber, investigative reporter at The 74 Teeth Logsdon-Wallace, student Elizabeth Laird, director of Equity in Civic Technology at Center for Democracy & Technology Sounds From: "Your Heart is a Muscle

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19:52

Encore: When an algorithm gets it wrong

MIT Technology Review Narrated ·

2022/03/16

The team that brings you In Machines We Trust has much to be grateful for—a brand new season of this show, a big awards nomination for The Extortion Economy, a show about ransomware that we made with ProPublica, and our new investigative series, Curious Coincidence. We celebrate how far we've come with a look back at where it all started! -- What happens when an algorithm gets it wrong? In the first of a four-part series on face recognition, Jennifer Strong and the team at MIT Technology Review

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3:41

Welcome to Curious Coincidence

MIT Technology Review Narrated ·

2022/02/16

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.

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22:35

Welcome to The Extortion Economy

MIT Technology Review Narrated ·

2022/02/02

This week we're sharing another tech show we made that we think you're going to love. It's called The Extortion Economy and it's a five-part series about the ransomware epidemic produced with ProPublica. See you soon with a whole new season of In Machines We Trust!! -- A new-age iteration of the old-age extortion problem. A ransomware vigilante, a piracy (as in actual boats) expert, a school administrator, and a kidnapping victim share their experiences. This is part one. We Meet: Fabian Wosar,

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21:52

Encore: The AI of the beholder

MIT Technology Review Narrated ·

2022/01/20

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,

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23:42

Encore: What’s behind a smile

MIT Technology Review Narrated ·

2022/01/05

Researchers have spent years trying to crack the mystery of how we express our feelings. Pioneers in the field of emotion detection will tell you the problem is far from solved. But that hasn’t stopped a growing number of companies from claiming their algorithms have cracked the puzzle. In part one of a two-part series on emotion AI, Jennifer Strong and the team at MIT Technology Review explore what emotion AI is, where it is, and what it means. We meet: Rana El Kaliouby, Affectiva Lisa Feldman

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26:23

Update: Attention shoppers, you’re being tracked

MIT Technology Review Narrated ·

2021/12/23

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

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22:06

How AI is giving a woman back her voice

MIT Technology Review Narrated ·

2021/12/08

Voice technology is one of the biggest trends in the healthcare space. We look at how it might help care providers and patients, from a woman who is losing her speech, to documenting healthcare records for doctors. But how do you teach AI to learn to communicate more like a human, and will it lead to more efficient machines? We Meet: Kenneth Harper, VP & GM, Healthcare Virtual Assistants and Ambient Clinical Intelligence at Nuance Bob MacDonald, Technical Program Manager, Project Euphonia,

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6:16

What is AI? We made this to help.

MIT Technology Review Narrated ·

2021/11/24

Defining what is, or isn’t artificial intelligence can be tricky (or tough). So much so, even the experts get it wrong sometimes. That’s why MIT Technology Review’s Senior AI Editor Karen Hao created a flowchart to explain it all. In this bonus content our host and her team reimagined Hao’s reporting, gamifying it into a radio play. If you would like to see the original reporting

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13:54

I Was There When: Facebook put profit over safety

MIT Technology Review Narrated ·

2021/11/10

In this episode, we meet Sophie Zhang—a former data scientist at Facebook. Before she was fired, she had become consumed by the task of finding and taking down fake accounts that were being used to sway elections globally. I Was There When is a new oral history project from the In Machines We Trust podcast. It features stories of how breakthroughs and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them. Credits: This episode was produced

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24:33

How pricing algorithms learn to collude

MIT Technology Review Narrated ·

2021/10/27

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

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12:22

I Was There When: face recognition was commercialized

MIT Technology Review Narrated ·

2021/10/13

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

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26:17

How games teach AI to learn for itself

MIT Technology Review Narrated ·

2021/09/29

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

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30:15

Beating the AI hiring machines

MIT Technology Review Narrated ·

2021/08/04

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

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36:30

Playing the job market

MIT Technology Review Narrated ·

2021/07/21

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

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29:20

Want a job? The AI will see you now.

MIT Technology Review Narrated ·

2021/07/07

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

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32:47

Hired by an algorithm

MIT Technology Review Narrated ·

2021/06/23

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

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21:19

When AI becomes childsplay

MIT Technology Review Narrated ·

2021/06/09

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

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20:47

Encore: Land of a Billion Faces

MIT Technology Review Narrated ·

2021/05/26

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

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18:37

Can AI fix your credit?

MIT Technology Review Narrated ·

2021/05/12

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

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162 results

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