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MIT Technology Review Narrated

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Mar 29, 2023 • 19min

In Machines We Trust: AI births digital humans (Encore)

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.
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Mar 22, 2023 • 16min

In Machines We Trust: I Was There When... Robots Learned to Run

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&t=17shttps://www.youtube.com/watch?v=6VUQHrWhoqgAtlashttps://www.youtube.com/watch?v=-e1_QhJ1EhQ&t=5sBig Doghttps://www.youtube.com/watch?v=xqMVg5ixhd0One Legged Robot (Hopping robot)https://www.youtube.com/watch?v=Bd5iEke6UlE&t=16s
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Mar 15, 2023 • 22min

In Machines We Trust: 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.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. 
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Mar 8, 2023 • 26min

In Machines We Trust: In the cockpit with AI

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 & 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.
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Mar 1, 2023 • 21min

In Machines We Trust: Who watches AI watching students?

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 & 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.
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Feb 22, 2023 • 20min

In Machines We Trust: AI enters the dogfight

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.
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Feb 15, 2023 • 22min

In Machines We Trust: Aging with robots

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.
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Feb 8, 2023 • 18min

In Machines We Trust: The AI in the newsroom

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.
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Feb 1, 2023 • 19min

In Machines We Trust: Automating Agriculture (Live)

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.
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Jan 25, 2023 • 16min

In Machines We Trust: House training a robot

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.

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