A podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.
Similar Podcasts
Thinking Elixir Podcast
The Thinking Elixir podcast is a weekly show where we talk about the Elixir programming language and the community around it. We cover news and interview guests to learn more about projects and developments in the community.
The Cynical Developer
A UK based Technology and Software Developer Podcast that helps you to improve your development knowledge and career,
through explaining the latest and greatest in development technology and providing you with what you need to succeed as a developer.
Elixir Outlaws
Elixir Outlaws is an informal discussion about interesting things happening in Elixir. Our goal is to capture the spirit of a conference hallway discussion in a podcast.
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 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.
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 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.
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 Business Credits: 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.
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.
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 Aarabi Biometrics pioneer and Chairman of ID4Africa Joseph Atick Credits: 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.
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 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/1334953632719011840 Gebru's email to the listserv Google Brain Women and Allies: https://www.platformer.news/p/the-withering-email-that-got-an-ethical The petition from Google Walkout: https://googlewalkout.medium.com/standing-with-dr-timnit-gebru-isupporttimnit-believeblackwomen-6dadc300d382 Credits: 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.
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, IDEMIA Michael D'Auria, vice president of business development, Second Spectrum Jason Gay, sports columnist, The Wall Street Journal Rachel Goodger, director of business development, Fancam Rich Wang, director of analytics and fan engagement, Minnesota Vikings Credits: 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.
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 Center Fabian Rogers, community advocate at Surveillance Technology Oversight Project Helen Knight, founder of Tech for Social Good Ray Bolling, president and co-founder of Eyemetric Identity Systems Mary Sunden, executive director of the Christ Church Community Development Corporation Credits: 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.
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.
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 Project Phil Mayor, ACLU Michigan Captain 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.
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.
EmTech Stage: Facebook's CTO on Misinformation
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 Editor-in-Chief Gideon Lichfield sits down with Facebook CTO Mike Schroepfer to talk about the challenges of combating false and harmful content on an online platform used by billions around the world. This conversation is from the EmTech MIT virtual conference and has been edited for length and 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 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.
What is AI? We Made This to Help.
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-flowchart-to-work-it-out/ Credits: This episode was reported by Karen Hao. It was adapted for audio and produced by Jennifer Strong and Emma Cillekens. The voices you heard were Emma Cillekens, as well as Eric Mongeon and Kyle Thomas Hemingway from our art team. We’re edited by Michael Reilly and Niall Firth.
AI Reads Human Emotions. Should It?
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 reported and produced by Jennifer Strong, Karen Hao, Tate Ryan-Mosley, and Emma Cillekens. We had help from Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield.
What’s Behind a Smile
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 Barrett, Northeastern University Karen Hao, MIT Technology Review Credits: This episode was reported and produced by Jennifer Strong and Karen Hao, with Tate Ryan-Mosley and Emma Cillekens. We had help from Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield.