Three years ago this week we launched this podcast on a mission to show the world how AI touches our everyday lives. It's been our great honor and privilege to make it through three seasons, a global pandemic, an unbelievable nineteen (19!!) award nominations, and a whole lot of tests and demos.Goodbyes are very hard to say, so instead we'll leave you with some of the show's highlights and an invitation to follow us as we continue our journey with a new show coming this fall called SHIFT - sign up for updates at shiftshow.aiCredits:This series was created by Jennifer Strong and Emma Cillekens with the support of Gideon Lichfield and Michael Reilly. Its producers have been Emma Cillekens and Anthony Green. The editors have included Gideon Lichfield, Michael Reilly and Mat Honan with support from Karen Hao and Tate Ryan Mosley. You can thank Garret Lang and Jacob Gorski for the original music and excellent sound design. The weekly art was from Stephanie Arnett with album art from Eric Mongeon. Thanks for listening.

Three years ago this week we launched this podcast on a mission to show the world how AI touches our everyday lives. It's been our great honor and privilege to make it through three seasons, a global pandemic, an unbelievable nineteen (19!!) award nominations, and a whole lot of tests and demos. Goodbyes are very hard to say, so instead we'll leave you with some of the show's highlights and an invitation to follow us as we continue our journey with a new show coming this fall called SHIFT - sign up for updates at <a href="shiftshow.ai%20" rel="nofollow" target="_blank">shiftshow.ai</a> Credits:This series was created by Jennifer Strong and Emma Cillekens with the support of Gideon Lichfield and Michael Reilly. Its producers have been Emma Cillekens and Anthony Green. The editors have included Gideon Lichfield, Michael Reilly and Mat Honan with support from Karen Hao and Tate Ryan Mosley. You can thank Garret Lang and Jacob Gorski for the original music and excellent sound design. The weekly art was from Stephanie Arnett with album art from Eric Mongeon.  Thanks for listening.

That's a wrap!

Hidden away in our voices are signals that may hold clues to how we’re doing, what we’re feeling and even what’s going on with our physical health. Now, AI systems tasked with analyzing these signals are moving into healthcare.We meet:Lina Lakoczky-Torres, student at Menlo CollegeAngela Schmiede, Vice President of Menlo College.Grace Chang, CEO of KintsugiDavid Liu, CEO of Sonde HealthLiam Kaufman, former CEO of Winterlight Labs. Margaret Mitchell, Chief Ethics Scientist of Hugging FaceBjoern Schuller, professor of artificial intelligence at Imperial College LondonCredits:This episode was reported by Hilke Schellmann, produced by Jennifer Strong, Emma Cillekens and Anthony Green, edited by Mat Honan and mixed by Garret Lang with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett. Special thanks to the Knight Science folks at MIT for their support with this reporting. 

Hidden away in our voices are signals that may hold clues to how we’re doing, what we’re feeling and even what’s going on with our physical health. Now, AI systems tasked with analyzing these signals are moving into healthcare. We meet:Lina Lakoczky-Torres, student at Menlo CollegeAngela Schmiede, Vice President of Menlo College.Grace Chang, CEO of KintsugiDavid Liu, CEO of Sonde HealthLiam Kaufman, former CEO of Winterlight Labs. Margaret Mitchell, Chief Ethics Scientist of Hugging FaceBjoern Schuller, professor of artificial intelligence at Imperial College London Credits:This episode was reported by Hilke Schellmann, produced by Jennifer Strong, Emma Cillekens and Anthony Green, edited by Mat Honan and mixed by Garret Lang with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett. Special thanks to the Knight Science folks at MIT for their support with this reporting.

When AI hears a problem

AI is used in farming in some ways you might not expect, like for tracking the health of crops—from space. We travel from test farms to labs in the second installment of our series on agriculture, AI, and satellites. We Meet:Joseph Liefer, senior product manager of autonomy at John DeereJulian Sanchez, director of emerging technology at John DeereShely Aranov, CEO of InnerPlantRod Kumimoto, CSO of InnerPlantCredits:This episode was reported and produced by Jennifer Strong, Emma Cillekens and Anthony Green. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

AI is used in farming in some ways you might not expect, like for tracking the health of crops—from space. We travel from test farms to labs in the second installment of our series on agriculture, AI, and satellites.  We Meet:Joseph Liefer, senior product manager of autonomy at John DeereJulian Sanchez, director of emerging technology at John DeereShely Aranov, CEO of InnerPlantRod Kumimoto, CSO of InnerPlant Credits:This episode was reported and produced by Jennifer Strong, Emma Cillekens and Anthony Green. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

Encore: Harvesting the future with AI and satellites 

In this special episode we bring you a live taping between the "Godfather of AI" Geoffrey Hinton and MIT Technology Review's Senior Editor for AI Will Douglas Heaven. This conversation was recorded at EmTech Digital, our signature AI event, in the MIT Media Lab.Credits:This episode was recorded in front of a live audience in Cambridge, Massachusetts with special thanks to Will Douglas Heaven, Amy Lammers and Brian Bryson. It was produced by Jennifer Strong and Emma Cillekens, directed by Erin Underwood, and edited by Mat Honan.

In this special episode we bring you a live taping between the "Godfather of AI" Geoffrey Hinton and MIT Technology Review's Senior Editor for AI Will Douglas Heaven. This conversation was recorded at EmTech Digital, our signature AI event, in the MIT Media Lab. Credits:This episode was recorded in front of a live audience in Cambridge, Massachusetts with special thanks to Will Douglas Heaven, Amy Lammers and Brian Bryson. It was produced by Jennifer Strong and Emma Cillekens, directed by Erin Underwood, and edited by Mat Honan.

Live: A conversation with Geoffrey Hinton

This episode, we get an insider's look at the ongoing chip war from the person who wrote the book on it, Chris Miller, professor at Tufts University and the author of Chip War. Join us for a live conversation from the MIT Media Lab at Tech Review’s Future Compute conference.Credits:This episode was recorded and produced by Jennifer Strong with help from Emma Cillekens and Anthony Green. We’re edited by Mat Honan and mixed by Garret Lang, with original music from Garret Lang and Jacob Gorski. Artwork from Stephanie Arnett.

This episode, we get an insider's look at the ongoing chip war from the person who wrote the book on it, Chris Miller, professor at Tufts University and the author of Chip War. Join us for a live conversation from the MIT Media Lab at Tech Review’s Future Compute conference. Credits:This episode was recorded and produced by Jennifer Strong with help from Emma Cillekens and Anthony Green. We’re edited by Mat Honan and mixed by Garret Lang, with original music from Garret Lang and Jacob Gorski. Artwork from Stephanie Arnett.

Live: The Chip War

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 and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them.In this episode we meet Cognitive Scientist Gary Marcus.CREDITS:This project was produced by Jennifer Strong, Emma Cillekens, and Anthony Green. It was edited by Mat Honan and mixed by Garret Lang with original music by Jacob Gorski. The art is from Eric Mongeon and Stephanie Arnett. It was recorded at the TED Conference in Vancouver, Canada.LINKS:https://blog.ted.com/the-astounding-new-era-of-ai-notes-on-session-2-of-ted2023/https://www.technologyreview.com/topic/artificial-intelligence/https://podcasts.apple.com/us/podcast/humans-vs-machines-with-gary-marcus/id1532110146

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 and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them.In this episode we meet Cognitive Scientist Gary Marcus. CREDITS:This project was produced by Jennifer Strong, Emma Cillekens, and Anthony Green. It was edited by Mat Honan and mixed by Garret Lang with original music by Jacob Gorski. The art is from Eric Mongeon and Stephanie Arnett. It was recorded at the TED Conference in Vancouver, Canada. LINKS:<a href="https://blog.ted.com/the-astounding-new-era-of-ai-notes-on-session-2-of-ted2023/" rel="nofollow" target="_blank">https://blog.ted.com/the-astounding-new-era-of-ai-notes-on-session-2-of-ted2023/</a><a href="https://www.technologyreview.com/topic/artificial-intelligence/" rel="nofollow" target="_blank">https://www.technologyreview.com/topic/artificial-intelligence/</a><a href="https://podcasts.apple.com/us/podcast/humans-vs-machines-with-gary-marcus/id1532110146" rel="nofollow" target="_blank">https://podcasts.apple.com/us/podcast/humans-vs-machines-with-gary-marcus/id1532110146</a>

I Was There When: AI reached a crossroads

The term ‘smart city’ paints a picture of a tech-enabled oasis—powered by sensors of all kinds. But we’re starting to recognize what all these tools might mean for privacy. In this episode, we meet a researcher studying how this is being applied in Iran and visit one of the nation’s top smart cities, to learn how its efforts there have evolved over time.We Meet:University of Oxford and Article19 Human Rights Researcher Mahsa AlimardaniCity of Las Vegas Chief Innovation Officer Michael SherwoodCity of Hope Director of Campus Support Operations Mark ReedSounds:How will artificial intelligence change the cities we live in? - BBC Ideas via YouTube https://www.youtube.com/watch?v=UXxyCBimRyM ‘Smart’ cities promise economic and environmental benefits to the developing world - CBC News via YouTubehttps://www.youtube.com/watch?v=u08A7yiTmu4 Singapore is building a city in China - CNBC via YouTube https://www.youtube.com/watch?v=iP11XeIV1ZA Global Smart Cities - The China Current via YouTube https://www.youtube.com/watch?v=-qmiqHWD6Uc Footage appears to show Iranian riot police confronting students at university in Tehran - The Guardian via YouTube https://www.youtube.com/watch?v=BgQshPJohmg China: facial recognition and state control - The Economist via YouTube https://www.youtube.com/watch?v=lH2gMNrUuEY Facial recognition: Concerns over China's widespread surveillancehttps://www.youtube.com/watch?v=CT6KEy_QXvMCredits:This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

The term ‘smart city’ paints a picture of a tech-enabled oasis—powered by sensors of all kinds. But we’re starting to recognize what all these tools might mean for privacy. In this episode, we meet a researcher studying how this is being applied in Iran and visit one of the nation’s top smart cities, to learn how its efforts there have evolved over time. We Meet:University of Oxford and Article19 Human Rights Researcher Mahsa AlimardaniCity of Las Vegas Chief Innovation Officer Michael SherwoodCity of Hope Director of Campus Support Operations Mark Reed Sounds:How will artificial intelligence change the cities we live in? - BBC Ideas via YouTube <a href="https://www.youtube.com/watch?v=UXxyCBimRyM" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=UXxyCBimRyM</a> ‘Smart’ cities promise economic and environmental benefits to the developing world - CBC News via YouTube<a href="https://www.youtube.com/watch?v=u08A7yiTmu4" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=u08A7yiTmu4</a> Singapore is building a city in China - CNBC via YouTube <a href="https://www.youtube.com/watch?v=iP11XeIV1ZA" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=iP11XeIV1ZA</a> Global Smart Cities - The China Current via YouTube <a href="https://www.youtube.com/watch?v=-qmiqHWD6Uc" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=-qmiqHWD6Uc</a> Footage appears to show Iranian riot police confronting students at university in Tehran - The Guardian via YouTube <a href="https://www.youtube.com/watch?v=BgQshPJohmg" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=BgQshPJohmg</a> China: facial recognition and state control - The Economist via YouTube <a href="https://www.youtube.com/watch?v=lH2gMNrUuEY" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=lH2gMNrUuEY</a> Facial recognition: Concerns over China's widespread surveillance<a href="https://www.youtube.com/watch?v=CT6KEy_QXvM" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=CT6KEy_QXvM</a> Credits:This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

When AI watches the streets 

The best definitions of AI are vague, largely lack consensus and represent a huge challenge for lawmakers and legal scholars looking to regulate it. But back to back breakthroughs and rapid adoption of generative AI tools are making it feel a lot more real to everybody else. We examine how it’s possible that alone might be enough to push conversations about ethics further into focus.We Meet:MIT Technology Review Senior AI Reporter Melissa HeikkiläMozilla President Mark SurmanIBM Chief Privacy Officer Christina MontgomeryUnited Nations AI Advisor Neil SahotaSounds:Advances in artificial intelligence raise new ethics concerns - PBS NewsHour via YouTube https://youtu.be/l5nTlHeqYOQHe loves artificial intelligence. Hear why he is issuing a warning about ChatGPT - CNN via YouTube https://youtu.be/THJysHMi81c  Credits:This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens and Melissa Heikkilä. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

The best definitions of AI are vague, largely lack consensus and represent a huge challenge for lawmakers and legal scholars looking to regulate it. But back to back breakthroughs and rapid adoption of generative AI tools are making it feel a lot more real to everybody else. We examine how it’s possible that alone might be enough to push conversations about ethics further into focus. We Meet:MIT Technology Review Senior AI Reporter Melissa HeikkiläMozilla President Mark SurmanIBM Chief Privacy Officer Christina MontgomeryUnited Nations AI Advisor Neil Sahota Sounds:Advances in artificial intelligence raise new ethics concerns - PBS NewsHour via YouTube <a href="https://youtu.be/l5nTlHeqYOQ" rel="nofollow" target="_blank">https://youtu.be/l5nTlHeqYOQ</a>He loves artificial intelligence. Hear why he is issuing a warning about ChatGPT - CNN via YouTube <a href="https://youtu.be/THJysHMi81c" rel="nofollow" target="_blank">https://youtu.be/THJysHMi81c</a> Credits:This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens and Melissa Heikkilä. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

Concerning AI ethics

This episode we meet people building next generation tools for creativity who are thinking about how these AI models should be trained and deployed in order to be both useful and fair to artists.We hear from:Artist Holly HerndonAdobe CTO Digital Media Ely GreenfieldSoundful CEO Diaa El AllLinks:https://www.ted.com/talks/holly_herndon_what_if_you_could_sing_in_your_favorite_musician_s_voicehttps://www.technologyreview.com/2023/02/03/1067786/ai-models-spit-out-photos-of-real-people-and-copyrighted-images/https://www.technologyreview.com/2022/12/16/1065247/artists-can-now-opt-out-of-the-next-version-of-stable-diffusion/Credits: This episode was produced by Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski.

This episode we meet people building next generation tools for creativity who are thinking about how these AI models should be trained and deployed in order to be both useful and fair to artists. We hear from:Artist Holly HerndonAdobe CTO Digital Media Ely GreenfieldSoundful CEO Diaa El All Links:<a href="https://www.ted.com/talks/holly_herndon_what_if_you_could_sing_in_your_favorite_musician_s_voice" rel="nofollow" target="_blank">https://www.ted.com/talks/holly_herndon_what_if_you_could_sing_in_your_favorite_musician_s_voice</a><a href="https://www.technologyreview.com/2023/02/03/1067786/ai-models-spit-out-photos-of-real-people-and-copyrighted-images/" rel="nofollow" target="_blank">https://www.technologyreview.com/2023/02/03/1067786/ai-models-spit-out-photos-of-real-people-and-copyrighted-images/</a><a href="https://www.technologyreview.com/2022/12/16/1065247/artists-can-now-opt-out-of-the-next-version-of-stable-diffusion/" rel="nofollow" target="_blank">https://www.technologyreview.com/2022/12/16/1065247/artists-can-now-opt-out-of-the-next-version-of-stable-diffusion/</a> Credits: This episode was produced by Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski.

Generating creativity 

We're so excited this episode has been selected as a New York Festivals finalist! Please enjoy this encore edition and we'll see you back next week! Digital twins of humans capture the physical look and expressions of real humans. Increasingly these replicas are showing up in the entertainment industry and beyond and it gives rise to some interesting opportunities as well as thorny questions. We speak to:Greg Cross, CEO and co-founder of Soul MachinesCredits: This episode was produced by Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski.

We're so excited this episode has been selected as a New York Festivals finalist! Please enjoy this encore edition and we'll see you back next week! Digital twins of humans capture the physical look and expressions of real humans. Increasingly these replicas are showing up in the entertainment industry and beyond and it gives rise to some interesting opportunities as well as thorny questions.  We speak to:Greg Cross, CEO and co-founder of Soul Machines Credits: This episode was produced by Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski.

Encore: AI births digital humans

Host Jennifer Strong thoughtfully examines the far-reaching impact of artificial intelligence on our daily lives. Produced by MIT Technology Review, the podcast explores the rise of AI through the voices of people reckoning with the power of the technology, and by taking listeners up close with the inventors and founders whose ambitions are fueling the development of new forms of AI.

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 and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them.In this episode we meet Marc Raibert, the founder and chairman of Boston Dynamics.CREDITS: This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan and mixed by Garret Lang, with original music by Jacob Gorski. Artwork by Eric Mongeon.VIDEOS:Spot https://www.youtube.com/watch?v=7atZfX85nd4&amp;t=17shttps://www.youtube.com/watch?v=6VUQHrWhoqgAtlashttps://www.youtube.com/watch?v=-e1_QhJ1EhQ&amp;t=5sBig Doghttps://www.youtube.com/watch?v=xqMVg5ixhd0One Legged Robot (Hopping robot)https://www.youtube.com/watch?v=Bd5iEke6UlE&amp;t=16s

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 and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them. In this episode we meet Marc Raibert, the founder and chairman of Boston Dynamics. CREDITS: This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan and mixed by Garret Lang, with original music by Jacob Gorski. Artwork by Eric Mongeon. VIDEOS: Spot <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D7atZfX85nd4%26t%3D17s&amp;data=05%7C01%7C%7Cf4f03c19431742ddc02308db356bfb42%7C961f23f8614c4756bafff1997766a273%7C1%7C0%7C638162510172433671%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=OtmXWO1pLFktHIWH6m8r33KqEhq9O5afyIBqxAgmv44%3D&amp;reserved=0" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=7atZfX85nd4&amp;t=17s</a><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D6VUQHrWhoqg&amp;data=05%7C01%7C%7Cf4f03c19431742ddc02308db356bfb42%7C961f23f8614c4756bafff1997766a273%7C1%7C0%7C638162510172433671%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=gI3F9PbTPPYfuEZLdD3DislUsbnR7g2jUkFwpvNTkS8%3D&amp;reserved=0" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=6VUQHrWhoqg</a> Atlas<a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D-e1_QhJ1EhQ%26t%3D5s&amp;data=05%7C01%7C%7Cf4f03c19431742ddc02308db356bfb42%7C961f23f8614c4756bafff1997766a273%7C1%7C0%7C638162510172433671%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=9UZzliHsx0WhEouj5XhYw7jOUsD7s9BsmnJrfnRo%2BqY%3D&amp;reserved=0" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=-e1_QhJ1EhQ&amp;t=5s</a> Big Dog<a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DxqMVg5ixhd0&amp;data=05%7C01%7C%7Cf4f03c19431742ddc02308db356bfb42%7C961f23f8614c4756bafff1997766a273%7C1%7C0%7C638162510172433671%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=NSfdDcvTrclgwbEV%2BoxpN8PggkIkRt%2FbUsRcSr39J8s%3D&amp;reserved=0" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=xqMVg5ixhd0</a> One Legged Robot (Hopping robot)<a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DBd5iEke6UlE%26t%3D16s&amp;data=05%7C01%7C%7Cf4f03c19431742ddc02308db356bfb42%7C961f23f8614c4756bafff1997766a273%7C1%7C0%7C638162510172433671%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=UyfbQGfP8xNgRr2SLV9gd5CNufKK%2BGHTdz70J9frFFw%3D&amp;reserved=0" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=Bd5iEke6UlE&amp;t=16s</a>

I Was There When: Robots Learned to Run

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.Reporting links:https://www.technologyreview.com/2023/03/13/1069649/hyper-realistic-beauty-filters-bold-glamour/https://www.technologyreview.com/2022/08/19/1057133/fight-for-instagram-face/We meet: Shafee Hassan, Qoves Studio founder Lauren Rhue, Assistant Professor of Information Systems at the Robert H. Smith School of BusinessCredits: 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.

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. Reporting links:<a href="https://www.technologyreview.com/2023/03/13/1069649/hyper-realistic-beauty-filters-bold-glamour/" rel="nofollow" target="_blank">https://www.technologyreview.com/2023/03/13/1069649/hyper-realistic-beauty-filters-bold-glamour/</a><a href="https://www.technologyreview.com/2022/08/19/1057133/fight-for-instagram-face/" rel="nofollow" target="_blank">https://www.technologyreview.com/2022/08/19/1057133/fight-for-instagram-face/</a> 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.

The AI of the beholder

How we train fighter pilots—both real and artificial—is undergoing a series of rapid changes. In order for these systems to be useful we need to trust them, but figuring out just how, when and why remains a massive challenge. In this second of a two-part series, we look at how AI is being used to teach human pilots to perform some of the most dangerous and difficult maneuvers in aerial combat, and we experience synthetic dogfighting first hand. We Meet:Tom "T-Mac" Mackie, Director of Red6Chris Cotting, Director Research, US Air Force Test Pilot SchoolBill Gray, Chief Test Pilot, US Air Force Test Pilot SchoolDaniel Robinson, Founder &amp; CEO Red6Credits:This episode was reported and produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Art by Stephanie Arnett.

How we train fighter pilots—both real and artificial—is undergoing a series of rapid changes. In order for these systems to be useful we need to trust them, but figuring out just how, when and why remains a massive challenge. In this second of a two-part series, we look at how AI is being used to teach human pilots to perform some of the most dangerous and difficult maneuvers in aerial combat, and we experience synthetic dogfighting first hand.  We Meet:Tom "T-Mac" Mackie, Director of Red6Chris Cotting, Director Research, US Air Force Test Pilot SchoolBill Gray, Chief Test Pilot, US Air Force Test Pilot SchoolDaniel Robinson, Founder &amp; CEO Red6 Credits:This episode was reported and produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Art by Stephanie Arnett.

In the cockpit with AI 

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 GaggleMark Keierleber, investigative reporter at The 74Teeth Logsdon-Wallace, studentElizabeth Laird, director of Equity in Civic Technology at Center for Democracy &amp; TechnologySounds From:"Your Heart is a Muscle the Size of Your Fist" from the band Ramshackle Glory's 2011 album Live the Dream."Spying or protecting students? CBS46 Investigates school surveillance software" from CBS46 in Atlanta, GA on February 14, 2022."Student Surveillance Software: Schools know what your child is doing online. Do you?" from WSPA7 News in Greenville, SC on May 5, 2021."Spying or protecting students? CBS46 Investigates school surveillance software" from News 5 in Cleveland, OH on February 5, 2020.Credits:This episode was produced by Anthony Green and Emma Cillekens with reporting from Mark Keierleber. It was edited by Jennifer Strong and Michael Reilly, and mixed by Garret Lang with original music from Jacob Gorski. Art by Stephanie Arnett.https://www.theguardian.com/education/2021/oct/12/school-surveillance-dragnet-suicide-attempt-healinghttps://www.the74million.org/contributor/mark-keierleber/You can support our journalism by going to http://www.techreview.com/subscribe.

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 GaggleMark Keierleber, investigative reporter at The 74Teeth Logsdon-Wallace, studentElizabeth Laird, director of Equity in Civic Technology at Center for Democracy &amp; Technology Sounds From:"Your Heart is a Muscle the Size of Your Fist" from the band Ramshackle Glory's 2011 album Live the Dream."Spying or protecting students? CBS46 Investigates school surveillance software" from CBS46 in Atlanta, GA on February 14, 2022."Student Surveillance Software: Schools know what your child is doing online. Do you?" from WSPA7 News in Greenville, SC on May 5, 2021."Spying or protecting students? CBS46 Investigates school surveillance software" from News 5 in Cleveland, OH on February 5, 2020. Credits:This episode was produced by Anthony Green and Emma Cillekens with reporting from Mark Keierleber. It was edited by Jennifer Strong and Michael Reilly, and mixed by Garret Lang with original music from Jacob Gorski. Art by Stephanie Arnett.<a href="https://www.theguardian.com/education/2021/oct/12/school-surveillance-dragnet-suicide-attempt-healing" rel="nofollow" target="_blank">https://www.theguardian.com/education/2021/oct/12/school-surveillance-dragnet-suicide-attempt-healing</a><a href="https://www.the74million.org/contributor/mark-keierleber/" rel="nofollow" target="_blank">https://www.the74million.org/contributor/mark-keierleber/</a>You can support our journalism by going to <a href="http://www.techreview.com/subscribe" rel="nofollow" target="_blank">http://www.techreview.com/subscribe</a>.

Who watches AI watching students?

Late last year the US Department of Defense successfully ran a dozen flight tests in which AI agents piloted an experimental fighter jet. We explore the program that got it there and what this milestone means.We Meet:Chase Kohler, Edwards Air Force BaseSue Halpern, The New YorkerPaul Scharre, Center for a New American SecurityAdditional sources and sound:DARPA's AlphaDogfight Trials: https://www.youtube.com/watch?v=NzdhIA2S35wThe Rise of A.I. Fighter Pilots: Artificial intelligence is being taught to fly warplanes: https://www.newyorker.com/magazine/2022/01/24/the-rise-of-ai-fighter-pilotshttps://www.edwards.af.mil/News/Article/3297083/dod-artificial-intelligence-agents-successfully-pilot-fighter-jet/Credits:This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, and mixed by Garret Lang with original music from Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

Late last year the US Department of Defense successfully ran a dozen flight tests in which AI agents piloted an experimental fighter jet. We explore the program that got it there and what this milestone means. We Meet:Chase Kohler, Edwards Air Force BaseSue Halpern, The New YorkerPaul Scharre, Center for a New American Security Additional sources and sound:DARPA's AlphaDogfight Trials: <a href="https://www.youtube.com/watch?v=NzdhIA2S35w" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=NzdhIA2S35w</a>The Rise of A.I. Fighter Pilots: Artificial intelligence is being taught to fly warplanes: <a href="https://www.newyorker.com/magazine/2022/01/24/the-rise-of-ai-fighter-pilots" rel="nofollow" target="_blank">https://www.newyorker.com/magazine/2022/01/24/the-rise-of-ai-fighter-pilots</a><a href="https://www.edwards.af.mil/News/Article/3297083/dod-artificial-intelligence-agents-successfully-pilot-fighter-jet/" rel="nofollow" target="_blank">https://www.edwards.af.mil/News/Article/3297083/dod-artificial-intelligence-agents-successfully-pilot-fighter-jet/</a> Credits:This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, and mixed by Garret Lang with original music from Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

AI enters the dogfight

A look at how artificial intelligence is starting to be used to support the elderly.We Meet:Dor Skuler, Intuition RoboticsGreg Olsen, New York State Office for the AgingMarie DefrancescoCredits:This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens. We’re edited by Mat Honan and mixed by Garret Lang, with original music from Garret Lang, and Jacob Gorski. Art by Stephanie Arnett.

A look at how artificial intelligence is starting to be used to support the elderly. We Meet:Dor Skuler, Intuition RoboticsGreg Olsen, New York State Office for the AgingMarie Defrancesco Credits:This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens. We’re edited by Mat Honan and mixed by Garret Lang, with original music from Garret Lang, and Jacob Gorski. Art by Stephanie Arnett.

Aging with robots

We asked ChatGPT to summarize this episode and this is what it wrote:"In the episode, the host discussed the increasing use of AI language models like ChatGPT in newsrooms. The host explained that ChatGPT, a large language model developed by OpenAI, is being used to automate tasks such as data analysis and writing, freeing up time for journalists to focus on more in-depth reporting. The host interviewed experts in the field who highlighted the benefits of using AI technology in newsrooms, including increased efficiency and consistency, as well as the potential to improve the accuracy and speed of reporting. However, the experts also discussed the challenges that come with using AI in journalism, such as issues around bias and accountability, and the need for human oversight to ensure ethical and accurate reporting. The episode concluded by exploring the future of AI in journalism, and how it will continue to shape the way news is produced and consumed."The episode was written by people.Links:https://www.technologyreview.com/2023/01/31/1067436/could-chatgpt-do-my-job/https://www.technologyreview.com/2023/01/27/1067338/a-watermark-for-chatbots-can-spot-text-written-by-an-ai/We meet:Mat Honan, MIT Technology ReviewJonah Peretti, BuzzfeedSayash Kapoor, Princeton UniversityFrancesco Marconi, Applied XLCredits:This episode was produced by Anthony Green and Emma Cillekens, and edited by Jennifer Strong and Mat Honan. It was mixed by Garret Lang with original music from Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

We asked ChatGPT to summarize this episode and this is what it wrote:"In the episode, the host discussed the increasing use of AI language models like ChatGPT in newsrooms. The host explained that ChatGPT, a large language model developed by OpenAI, is being used to automate tasks such as data analysis and writing, freeing up time for journalists to focus on more in-depth reporting. The host interviewed experts in the field who highlighted the benefits of using AI technology in newsrooms, including increased efficiency and consistency, as well as the potential to improve the accuracy and speed of reporting. However, the experts also discussed the challenges that come with using AI in journalism, such as issues around bias and accountability, and the need for human oversight to ensure ethical and accurate reporting. The episode concluded by exploring the future of AI in journalism, and how it will continue to shape the way news is produced and consumed."The episode was written by people. Links:<a href="https://www.google.com/url?q=https://www.technologyreview.com/2023/01/31/1067436/could-chatgpt-do-my-job/&amp;sa=D&amp;source=docs&amp;ust=1675751940895416&amp;usg=AOvVaw2SPw01-nxKFLvxQG7bOLBJ" rel="nofollow" target="_blank">https://www.technologyreview.com/2023/01/31/1067436/could-chatgpt-do-my-job/</a><a href="https://www.google.com/url?q=https://www.technologyreview.com/2023/01/27/1067338/a-watermark-for-chatbots-can-spot-text-written-by-an-ai/&amp;sa=D&amp;source=docs&amp;ust=1675753175123076&amp;usg=AOvVaw2QDgDx2bqM_078ZqfdrJvL" rel="nofollow" target="_blank">https://www.technologyreview.com/2023/01/27/1067338/a-watermark-for-chatbots-can-spot-text-written-by-an-ai/</a> We meet:Mat Honan, MIT Technology ReviewJonah Peretti, BuzzfeedSayash Kapoor, Princeton UniversityFrancesco Marconi, Applied XL Credits:This episode was produced by Anthony Green and Emma Cillekens, and edited by Jennifer Strong and Mat Honan. It was mixed by Garret Lang with original music from Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

The AI in the newsroom

We're joined on stage by two startup founders working to bring automation to smaller scale farms. A live conversation from Lisbon, Portugal taped at one of the world's largest tech conferences, Web Summit. We meet:Praveen Penmetsa, CEO of Monarch TractorBarry Lunn, CEO of Provizio AI Credits:This episode was recorded and produced by Jennifer Strong with help from Emma Cillekens and Anthony Green. We’re edited by Mat Honan and mixed by Garret Lang, with original music from Garret Lang and Jacob Gorski. Artwork from Stephanie Arnett.

We're joined on stage by two startup founders working to bring automation to smaller scale farms. A live conversation from Lisbon, Portugal taped at one of the world's largest tech conferences, Web Summit. We meet:Praveen Penmetsa, CEO of Monarch TractorBarry Lunn, CEO of Provizio AI  Credits:This episode was recorded and produced by Jennifer Strong with help from Emma Cillekens and Anthony Green. We’re edited by Mat Honan and mixed by Garret Lang, with original music from Garret Lang and Jacob Gorski. Artwork from Stephanie Arnett.

Live: Automating Agriculture

A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook?This episode we go behind the scenes of an investigation that uncovered how sensitive photos taken by an AI powered vacuum were leaked and landed on the internet. Reporting:A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook?﻿Roomba testers feel misled after intimate images ended up on FacebookWe Meet:Eileen Guo, MIT Technology ReviewAlbert Fox Cahn, Surveillance Technology Oversight ProjectCredits:This episode was reported by Eileen Guo and produced by Emma Cillekens and Anthony Green. It was hosted by Jennifer Strong and edited by Amanda Silverman and Mat Honan. This show is mixed by Garret Lang with original music from Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook?This episode we go behind the scenes of an investigation that uncovered how sensitive photos taken by an AI powered vacuum were leaked and landed on the internet.  Reporting:<a href="https://www.technologyreview.com/2022/12/19/1065306/roomba-irobot-robot-vacuums-artificial-intelligence-training-data-privacy/" rel="nofollow" target="_blank">A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook?</a>﻿<a href="https://www.technologyreview.com/2023/01/10/1066500/roomba-irobot-robot-vacuum-beta-product-testers-consent-agreement-misled/?truid=9db6bf9ba6ac5497b0cf3cf77e1051c8&amp;utm_source=the_download&amp;utm_medium=email&amp;utm_campaign=the_download.unpaid.engagement&amp;utm_term=&amp;utm_content=01-10-2023&amp;mc_cid=93274675d1&amp;mc_eid=051417738c" rel="nofollow" target="_blank">Roomba testers feel misled after intimate images ended up on Facebook</a> We Meet:Eileen Guo, MIT Technology ReviewAlbert Fox Cahn, Surveillance Technology Oversight Project Credits:This episode was reported by Eileen Guo and produced by Emma Cillekens and Anthony Green. It was hosted by Jennifer Strong and edited by Amanda Silverman and Mat Honan. This show is mixed by Garret Lang with original music from Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

House training a robot

Our reporting about farming, AI and satellites turned into three episodes of this podcast, which you can find linked here in the show notes, and as part of this reporting we also toured a satellite factory in downtown San Francisco, called Planet Labs. This week we bring you along for one of our audio postcards to hear how these satellites are built and tested.We meet: Jacob Stern, director of test engineering at Planet LabsCredits:This episode was produced by Jennifer Strong with help from Anthony Green and Emma Cillekens. It was edited by Mat Honan and mixed by Garret Lang, with original music from Garret Lang and Jacob Gorski. Art direction by Stephanie Arnett.

Our reporting about farming, AI and satellites turned into three episodes of this podcast, which you can find linked here in the show notes, and as part of this reporting we also toured a satellite factory in downtown San Francisco, called Planet Labs. This week we bring you along for one of our audio postcards to hear how these satellites are built and tested. We meet: Jacob Stern, director of test engineering at Planet Labs Credits:This episode was produced by Jennifer Strong with help from Anthony Green and Emma Cillekens. It was edited by Mat Honan and mixed by Garret Lang, with original music from Garret Lang and Jacob Gorski. Art direction by Stephanie Arnett.

 Audio Postcard: How to test a satellite

In Machines We Trust

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.

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: <a href="https://cms.megaphone.fm/channel/deep-tech?selected=MIT6065037377" rel="nofollow" target="_blank">https://cms.megaphone.fm/channel/deep-tech?selected=MIT6065037377</a> and our coverage at <a href="https://www.technologyreview.com/topic/tech-policy/" rel="nofollow" target="_blank">https://www.technologyreview.com/topic/tech-policy/</a> 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.

Live: Facebook's CTO on Misinformation

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 ProjectPhil Mayor, ACLU MichiganCaptain 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.  

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 ProjectPhil Mayor, ACLU MichiganCaptain 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.

Encore: What Happens in Vegas… Is Captured on Camera

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 DankoBenevolentAI CEO Baroness Joanna ShieldsCredits: This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley, Emma Cillekens and Karen Hao with help from Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. Our technical director is Jacob Gorski. 

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 DankoBenevolentAI CEO Baroness Joanna Shields Credits: This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley, Emma Cillekens and Karen Hao with help from Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. Our technical director is Jacob Gorski.

Down and Dirty with Covid Genes

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 EssexHamid Khan, Stop LAPD Spying CoalitionCredits: This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley and Emma Cillekens. We had help from Karen Hao and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. Our technical director is Jacob Gorski. Special thanks to Kyle Thomas Hemingway and Eric Mongeon.

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 EssexHamid Khan, Stop LAPD Spying Coalition Credits: This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley and Emma Cillekens. We had help from Karen Hao and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. Our technical director is Jacob Gorski. Special thanks to Kyle Thomas Hemingway and Eric Mongeon.

When an Algorithm Gets It Wrong

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 MaineRyan Powell, UX Design &amp; Research at Waymo.Rashed Haq, VP of Robotics at CruiseCredits: This episode was reported and produced by Jennifer Strong,Tanya Basu, Emma Cillekens and Tate Ryan-Mosley. We had help from Karen Hao and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield. 

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 MaineRyan Powell, UX Design &amp; Research at Waymo.Rashed Haq, VP of Robotics at Cruise Credits: This episode was reported and produced by Jennifer Strong,Tanya Basu, Emma Cillekens and Tate Ryan-Mosley. We had help from Karen Hao and Benji Rosen. We’re edited by Michael Reilly and Gideon Lichfield.

 AI in the Driver’s Seat

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.

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: <a href="https://cms.megaphone.fm/channel/deep-tech?selected=MIT6065037377" rel="nofollow" target="_blank">https://cms.megaphone.fm/channel/deep-tech?selected=MIT6065037377</a> and our coverage at <a href="https://www.technologyreview.com/topic/tech-policy/" rel="nofollow" target="_blank">https://www.technologyreview.com/topic/tech-policy/</a> 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.

Live: Twitter's CTO on Misinformation

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.

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.

Land of a Billion Faces

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.

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.

When the Camera Turns on Police

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, AffectivaTim VanGoethem, HarmanRohit Prasad, AmazonMeredith Whittaker, NYU's AI Now InstituteCredits: 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.  

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, AffectivaTim VanGoethem, HarmanRohit Prasad, AmazonMeredith 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.

AI Reads Human Emotions. Should It?

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 BusinessCredits: 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.

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.

The best episodes for anyone looking to learn more about topics such as happiness, fulfillment, depression and psychology/mental health in general. With interviews with industry experts, personal stories of individuals, this topic has lessons applicable to everyone. Add episodes you're interested into your queue below!

Best Episodes on Mental Health, Emotions & Thoughts

The best podcasts on investing. For anyone interested in the stories in the investing industry, whether it's an interview with Ray Dalio or Ed Thorp to the writer of The Big Short. This topic includes the most fascinating stories from all the best investors. Add episodes you're interested into your queue below!