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:/...
Sep 29, 2021•27 min•Season 3Ep. 1
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 y...
Aug 04, 2021•31 min•Season 2Ep. 10
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 ...
Jul 21, 2021•37 min•Season 2Ep. 9
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 C...
Jul 07, 2021•30 min•Season 2Ep. 8
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...
Jun 23, 2021•34 min•Season 2Ep. 7
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 Dan...
Jun 09, 2021•22 min•Season 2Ep. 6
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 pr...
May 26, 2021•22 min•Season 2Ep. 5
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 pr...
May 12, 2021•19 min•Season 2Ep. 4
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 Cille...
Apr 28, 2021•29 min•Season 2Ep. 3
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 expe...
Apr 14, 2021•19 min•Season 2Ep. 2
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 filter...
Mar 31, 2021•23 min•Season 2Ep. 1
Host Jennifer Strong and MIT Technology Review’s editors explore what it means to entrust AI with our most sensitive decisions.
Mar 24, 2021•4 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 ...
Dec 19, 2020•29 min•Season 1Ep. 17
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 Gebru Find 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/1334953632719011...
Dec 16, 2020•22 min•Season 1Ep. 16
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, IDEMIA Michael D'Auria, vice president of business development, Second Spectrum Jason Gay, sports columnist, The Wall Street Journal Rachel Goodger, dir...
Dec 09, 2020•22 min•Season 1Ep. 15
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 ident...
Dec 02, 2020•24 min•Season 1Ep. 14
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 an...
Nov 18, 2020•18 min•Season 1Ep. 13
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 O...
Nov 04, 2020•25 min•Season 1Ep. 12
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 an...
Oct 29, 2020•25 min•Season 1Ep. 11
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 ...
Oct 29, 2020•19 min•Season 1Ep. 10
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. 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-flo...
Oct 21, 2020•9 min•Season 1Ep. 9
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. We meet: Shruti Sharma, VSCO Gabi Zijderveld, Affectiva Tim VanGoethem, Harman Rohit Prasad, Amazon Meredith Whittaker, NYU's AI Now Institute Credits: This episode was repor...
Oct 07, 2020•25 min•Season 1Ep. 8
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 ...
Sep 23, 2020•27 min•Season 1Ep. 7
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. 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 Cruise Credits: Thi...
Sep 09, 2020•24 min•Season 1Ep. 6
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. We meet: Weill Cornell Medicine's Christopher Mason and David Danko BenevolentAI CEO Baroness Joanna Shields Credits: This episode was reported a...
Aug 26, 2020•22 min•Season 1Ep. 5
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 Coalition Credits: This episode wa...
Aug 12, 2020•19 min•Season 1Ep. 1
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 pr...
Aug 12, 2020•21 min•Season 1Ep. 2
The use of facial recognition by police has come under a lot of scrutiny. In part-three of our series, 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. We meet: Albert Fox Cahn, Surveillance Technology Oversight Project Phil Mayor, ACLU Michigan Captain Dori Koren, Las Vegas Pol...
Aug 12, 2020•24 min•Season 1Ep. 3
Police have a history of using face recognition to arrest protestors—something not lost on activists since the death of George Floyd. In the last of a four-part series on facial recognition, host Jennifer Strong explores the way forward for the technology and examines what policy might look like. We meet: Artem Kuharenko, NTechLab Deborah Raji, AI Now Institute Toussaint Morrison, Musician, actor, and Black Lives Matter organizer Jameson Spivack, Center on Privacy & Technology Credits: This ...
Aug 12, 2020•20 min•Season 1Ep. 4
Welcome to a podcast about the automation of everything. Host Jennifer Strong and MIT Technology Review’s editors explore what it means to entrust AI with our most sensitive decisions.
Jul 11, 2020•5 min
