An AI startup created a hyperrealistic deepfake of MIT Technology Review’s senior AI reporter that was so believable, even she thought it was really her at first. This technology is impressive, to be sure. But it raises big questions about a world where we increasingly can’t tell what’s real and what's fake. This story was written by senior AI reporter Melissa Heikkilä and narrated by Noa - newsoveraudio.com

Though “user” seems to describe a relationship that is deeply transactional, many of the technological relationships in which a person would be considered a user are actually quite personal. That being the case, is the term “user” still relevant?  This story was written by Taylor Majewski and narrated by Noa.

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.

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

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 Alimardani City of Las Vegas Chief Innovation Officer Michael Sherwood City of Hope Director of Campus Support Operations Mark Reed Sounds: 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 YouTube https://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 surveillance https://www.youtube.com/watch?v=CT6KEy_QXvM 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.

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 Heikkilä Mozilla President Mark Surman IBM Chief Privacy Officer Christina Montgomery United Nations AI Advisor Neil Sahota Sounds: Advances in artificial intelligence raise new ethics concerns - PBS NewsHour via YouTube https://youtu.be/l5nTlHeqYOQ He 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.

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 Herndon Adobe CTO Digital Media Ely Greenfield Soundful CEO Diaa El All Links: https://www.ted.com/talks/holly_herndon_what_if_you_could_sing_in_your_favorite_musician_s_voice https://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.

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.

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=17s https://www.youtube.com/watch?v=6VUQHrWhoqg Atlas https://www.youtube.com/watch?v=-e1_QhJ1EhQ&t=5s Big Dog https://www.youtube.com/watch?v=xqMVg5ixhd0 One Legged Robot (Hopping robot) https://www.youtube.com/watch?v=Bd5iEke6UlE&t=16s

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 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.  

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 Red6 Chris Cotting, Director Research, US Air Force Test Pilot School Bill Gray, Chief Test Pilot, US Air Force Test Pilot School Daniel Robinson, Founder & 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.

A boy wrote about his suicide attempt. He didn’t realize his school's software was watching. While schools commonly use AI to sift through students' digital lives and flag keywords that may be considered concerning, critics ask at what cost to privacy. We Meet: Jeff Patterson, CEO of Gaggle Mark Keierleber, investigative reporter at The 74 Teeth Logsdon-Wallace, student Elizabeth Laird, director of Equity in Civic Technology at Center for Democracy & Technology Sounds From: "Your Heart is a Muscle 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-healing https://www.the74million.org/contributor/mark-keierleber/ You can support our journalism by going to http://www.techreview.com/subscribe.

We've known of Europa’s existence for more than four centuries, but for most of that time, Jupiter’s fourth-largest moon was just a pinprick of light in our telescopes— a bright and curious companion to the solar system’s resident giant. Over the last few decades, however, as astronomers have scrutinized it through telescopes and six spacecraft have flown nearby, a new picture has come into focus. Europa is nothing like our moon. Observations suggest that its heart is a ball of metal and rock, surrounded by a vast saltwater ocean that contains more than twice as much water as is found on Earth. In the depths of its ocean, or perhaps crowded in subsurface lakes or below icy surface vents, Jupiter’s big, bright moon could host life. MIT Technology Review articles are narrated by Noa (News Over Audio), an app offering you professionally-read articles from the world’s best publications. To stay ‘truly’ informed on Science & Technology, Business & Investing, Current Affairs & Politics, and much more, download the Noa app or visit newsoveraudio.com.

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 Base Sue Halpern, The New Yorker Paul Scharre, Center for a New American Security Additional sources and sound: DARPA's AlphaDogfight Trials: https://www.youtube.com/watch?v=NzdhIA2S35w The 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-pilots https://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.

A look at how artificial intelligence is starting to be used to support the elderly. We Meet: Dor Skuler, Intuition Robotics Greg Olsen, New York State Office for the Aging Marie 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.

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 Review Jonah Peretti, Buzzfeed Sayash Kapoor, Princeton University Francesco 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.

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 Tractor Barry 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.

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 Facebook We Meet: Eileen Guo, MIT Technology Review Albert 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.

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.

A panel of luminaries join us live on stage at MIT Technology Review’s flagship conference, EmTech MIT, and discuss the path forward for AI research. We Meet: Will Douglas Heaven, Senior Editor of AI at MIT Technology Review Ashley Llorens, Vice President & Managing Director at Microsoft Research Raia Hadsell, Senior Director of Research and Robotics at DeepMind Yann LeCun, NYU Professor, VP & Chief AI Scientist at Meta Credits: This episode was recorded in front of a live audience at the MIT Media Lab in Cambridge, Massachusetts with special thanks to Will Douglas Heaven, Amy Lammers and Brian Bryson. It was produced by Jennifer Strong, Emma Cillekens and Anthony Green, directed by Erin Underwood, edited by Mat Honan and mixed by Garret Lang. 

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://archive.org/details/Jeopardy.2011.02.The.IBM.Challenge/Jeopardy.2011.02.16.The.IBM.Challenge.Day.3.HDTV.XviD-FQM.avi  Garry Kasparov VS Deep Blue 1997 6th game (Kasparov Resigns) https://www.youtube.com/watch?v=EsMk1Nbcs-s  Attack Like AlphaZero: The Power of the King https://www.youtube.com/watch?v=c0JK5Fa3AqI  Miracle Perfect Anti Mage 16/0 - Dota 2 Pro Gameplay https://www.youtube.com/watch?v=59KnNcU9iKc  DOTA 2 - ALL GAME-WINNING Moments in The International History (TI1-TI9) https://www.youtube.com/watch?v=RJcNbuASl-Y  Credits: This episode was reported by Jennifer Strong and Will Douglas Heaven and produced by Anthony Green, Emma Cillekens and Karen Hao. We’re edited by Niall Firth, Michael Reilly and Mat Honan. Our mix engineer is Garret Lang. Sound design and music by Jacob Gorski.

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 Deere Julian Sanchez, director of emerging technology at John Deere Shely Aranov, CEO of InnerPlant Rod 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.

AI is used in agriculture to precisely target weeds and optimize irrigation practices. It’s also being used in ways you might not expect, like for tracking the health of cow pastures—from space. We travel from test farms to orchards in the first of a two-part series on agriculture, AI, and satellites.  We Meet:  Greg Brickner, Veterinarian and grazing specialist at Organic Valley Geoff Klein, irrigation manager of Bullseye Farms John Bourne, SVP Ceres Imaging Deanna Kovar, VP of Production and Precision Ag Production Systems at John Deere Jahmy Hindman, CTO at John Deere 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.

Despite all their runaway success, nobody knows exactly how—or why—large language models work. And that’s a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models. This story was written by senior AI editor Will Douglas Heaven and narrated by Noa ((News Over Audio), an app offering you professionally-read articles from the world’s best publications.

We’re in the middle of another major disruption in retail—one that’s been accelerated by the pandemic, and looks to take the convenience of e-commerce and apply it to physical environments. In this episode, we examine how AI is at the center of this transition. We meet: Prakhar Mehrotra, VP, Machine Learning, Walmart Global Tech Jordan Fisher, Chief Executive Officer, Standard AI Terrence Griffin, Quality Control Specialist, Standard AI Suresh Kumar, Global Chief Technology Officer and CDO, Walmart This episode was produced by Anthony Green and Emma Cillekens. It was edited by Jennifer Strong and Mat Honan and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.

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. This episode was originally published December 8, 2020. 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.

Algorithms now determine how much things cost. It’s called dynamic pricing and it adjusts according to current market conditions in order to increase profits. The rise of ecommerce has propelled pricing algorithms into an everyday occurrence—whether you’re shopping on Amazon, booking a flight, hotel or ordering an Uber.  We Meet:  Lisa Wilkins, UX designer  Gabe Smith, chief evangelist, Pricefx Aylin Caliskan, assistant professor, University of Washington Joseph Harrington, professor of business, economics and public policy, University of Pennsylvania Maxime Cohen, Scale AI Chair professor, McGill University  Credits: This episode was reported by Anthony Green and produced by Jennifer Strong and Emma Cillekens. We’re edited by Mat Honan and our mix engineer is Garret Lang, with sound design and music by Jacob Gorski.

In the past, hiring decisions were made by people. Today, some key decisions that lead to whether someone gets a job or not are made by algorithms. The use of AI-based job interviews has increased since the pandemic. As demand increases, so too do questions about whether these algorithms make fair and unbiased hiring decisions, or find the most qualified applicant. In this second episode of a four-part series on AI in hiring, we meet some of the big players making this technology including the CEOs of HireVue and myInterview—and we test some of these tools ourselves. We Meet:  Kevin Parker, Chairman & CEO, HireVue Shelton Banks, CEO, re:work Mark Adams, Vice President of North America, Curious Thing AI Benjamin Gillman, Co-Founder and CEO, myInterview Fred Oswald, Psychology Professor, Rice University  Suresh Venkatasubramanian, Computer Science Professor, Brown University Clayton Donnelly, industrial-organizational psychologist, myInterview We Talked To:  Kevin Parker, Chairman & CEO, HireVue Lindsey Zuloaga, Chief Data Scientist, HireVue Nathan Mondragon, Chief IO Psychologist, HireVue Shelton Banks, CEO, re:work Lisa Feldman Barrett, Psychology Professor, Northeastern University Cathy O’Neil, CEO, O'Neil Risk Consulting & Algorithmic Auditing Mark Adams, Vice President of North America, Curious Thing AI Han Xu, Co-founder & CTO, Curious Thing AI Benjamin Gillman, Co-founder & CEO, myInterview  Fred Oswald, Psychology Professor, Rice University  Suresh Venkatasubramanian, Computer Science Professor, Brown University Clayton Donnelly, industrial-organizational psychologist, myInterview Mark Gray, Director of People, Proper Christoph Hohenberger, Co-founder and Managing Director, Retorio Derek Mracek, Lead Data Scientist, Yobs Raphael Danilo, Co-founder & CEO, Yobs Jonathan Kestenbaum, Co-founder & Managing Director of Talent Tech Labs Josh Bersin, Global Industry Analyst Students and Teachers from the Hope Program in Brooklyn, NY Henry Claypool, policy expert and former Director of the U.S. Health and Human Services Office on Disability Sounds From:  Curious Thing AI  myInterview  Dolly Parton - 9 To 5: https://www.youtube.com/watch?v=UbxUSsFXYo4 Arirang News: https://www.youtube.com/watch?v=30oCHwwLxy4 CBS News: https://www.youtube.com/watch?v=fbRBCU6SHHo  CBS Philly: https://www.youtube.com/watch?v=0wiPoCsZFFs  Credits: This miniseries on hiring was reported by Hilke Schellmann and produced by Jennifer Strong, Emma Cillekens, Karen Hao and Anthony Green with special thanks to James Wall. We’re edited by Michael Reilly. Art direction by Stephanie Arnett.

Shortages of everything from seeds to fertilizer might accelerate the adoption of technologies that can help supplies go further in war-torn Ukraine. We meet:  Roman Tarasevich, Farmer, Ukraine Morten Schmidt, Chief Executive Officer, OneSoil Inbal Reshef, Program Director, NASA Harvest Olekssi Misiura, Head of Research and Development, IMC Credits: This episode was reported and produced by Jennifer Strong, Emma Cillekens and Anthony Green. It was edited by Mat Honan and contains original music from Garret Lang and Jacob Gorski. Our mix engineer is Garret Lang. We had field production help in Ukraine from Orysia Khimiak. Special thanks this week to Max Furman, Ty Walrod, Antonio Regalado and Megan Zaroda Mullenioux. Our artwork is by Stephanie Arnett.

The International Space Station hosts scores of experiments that can’t be done on Earth. But it’s also showing its age—with repairs and safety concerns becoming increasingly common as it draws nearer to its end of life. In this episode, we bring you a conversation with Astronaut Michael López-Alegría about the path forward for research in low Earth orbit, from MIT Technology Review’s flagship conference, EmTech MIT. CREDITS: This episode was created by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan, directed by Erin Underwood and mixed by Garret Lang. Episode art by Stephanie Arnett and special thanks this week to Amy Lammers and Brian Bryson from our events team. SOUNDS:  What the next space station might look like, CNBC https://www.youtube.com/watch?v=yRcNxPCC9_A International space station removed from orbit 2031, NBC https://www.youtube.com/watch?v=My_mUGfc418 Space Station to retire in 2031, NASA says, Fox 35 Orlando https://www.youtube.com/watch?v=oFN9CJGa2TQ    

A look at how AI and other tech is being used to help predict, detect, and pinpoint the location of wildfires in the second of a two-part series. We Meet: Tricia Small, Television Producer, Small Fox Films George Whitesides, Space Executive Brittany Zajic, Disaster Response, Planet Labs Dave Winnacker, Fire Chief, Moraga-Orinda Fire District Arvind Satyam, Chief Commercial Officer, Pano Credits: This episode was reported and produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan and contains original music from Garret Lang and Jacob Gorski. Our mix engineer is Garret Lang and our artwork is by Stephanie Arnett.

A look at how AI and other tech is being used to help predict, detect, and pinpoint the location of wildfires in the first of a two-part series. We meet:  Dustin Tetrault, Deputy Fire Chief, Big Sky Fire Department Sankar Narayanan, Chief Practice Officer, Fractal Analytics Credits: This episode was reported and produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Mat Honan and contains original music from Garret Lang and Jacob Gorski. Our mix engineer is Garret Lang and our artwork is by Stephanie Arnett.

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 Alex Serdiuk, founder and CEO of Respeecher.  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. The art is from Eric Mongeon and Stephanie Arnett.

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. In this encore edition we revisit an episode from last year. Links to our reporting: https://www.technologyreview.com/2022/10/18/1061320/digital-clones-of-dead-people/ https://www.technologyreview.com/topic/artificial-intelligence/voice-assistants/ 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. This episode was edited by Michael Reilly and Niall Firth.

Moore’s Law holds that the number of transistors on an integrated circuit doubles every two years or so. In essence, it means that chipmakers are always trying to shrink the transistors on a microchip in order to pack more of them in. The cadence has been increasingly hard to maintain now that transistor dimensions measure in a few nanometers. In recent years ASML’s machines have kept Moore’s Law from sputtering out. Today, they are the only ones in the world capable of producing circuitry at the density needed to keep chipmakers roughly on track. Martin Van den Brink is the outgoing co-president and CTO of ASML. He joined the Dutch company in 1984 when it was founded and has played a major role in guiding it to it current dominant position. He explains to MIT Technology Review how the company overtook its competition and how it can stay ahead. MIT Technology Review articles are narrated by Noa (News Over Audio), an app offering you professionally-read articles from the world’s best publications. To stay ‘truly’ informed on Science & Technology, Business & Investing, Current Affairs & Politics, and much more, download the Noa app or visit newsoveraudio.com.

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 one of the world's greatest chess players, Garry Kasparov. 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. The art is from Eric Mongeon and Stephanie Arnett.

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.

Who wants to take a walk around a California vineyard to explore how it’s deploying sensors and other forms of AI? Join us for a field trip as we do something a little bit different this week. We meet:  Dirk Heuvel, vice president of vineyard operations, McManis Family Vineyards 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 Jacob Gorski. Art direction by Stephanie Arnett. 

Retailers face an evolving landscape of fraud tactics each day. It’s why companies are increasingly turning to AI to try and catch threat patterns never seen before, and block attacks before they happen. While this approach lends itself to efficiency, it’s also one that relies on increasingly complex data profiles of consumers. In this episode, we peer into the world of retail fraud detection.  We Meet: David Cost, VP of ecommerce and marketing at Rainbow Apparel Will Douglas Heaven, senior editor for AI at MIT Technology Review Rajesh Ramanand, co-founder & CEO at Signifyd Credits: This episode was reported by Jennifer Strong and produced by Anthony Green and Emma Cillekens, It was edited by Mat Honan and contains original music from Garret Lang and Jacob Gorski. Our mix engineer is Garret Lang and our artwork is made by Stephanie Arnett.

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 Dave Johnson, the chief data and artificial intelligence officer at Moderna. CREDITS: This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Michael Reilly and mixed by Garret Lang with original music by Jacob Gorski. The art is from Eric Mongeon and Stephanie Arnett.

A conversation about equity and what it takes to make effective AI policy taped before a live audience at MIT Technology Review’s annual AI conference, EmTech Digital. We Meet: Nicol Turner Lee, director of the Center for Technology at the Brookings Institution Anthony Green, producer of the In Machines We Trust podcast Credits: This episode was created by Jennifer Strong, Anthony Green, Erin Underwood and Emma Cillekens. It was edited by Michael Reilly, directed by Laird Nolan and mixed by Garret Lang. Episode art by Stephanie Arnett. Cover art by Eric Mongeon. Special thanks this week to Amy Lammers and Brian Bryson.

Amid a growing epidemic of gun violence, can AI be part of the solution? In this episode we look at some of the weapons detection technologies schools are using in an effort to try to keep students safe.  We Meet: Gary Hough, superintendent of Fayette County schools  Mark Keierleber, investigative reporter at The 74 Mike Ellenbogen, Founder, chief innovation officer at Evolv Technologies Donald Maye, head of operations at IPVM Sounds From: Spielberg, S. (2002). Minority Report. Twentieth Century Fox. Avigilon Athena Security integration for Gun Detection, via YouTube  Credits:  This episode was produced by Anthony Green and Emma Cillekens with reporting from Mark Keierleber. It was edited by Jennifer Strong, Rachel Courtland and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski and art from Stephanie Arnett. 

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 Gustav Söderström, who helped create algorithms aiming to understand our taste in music.  CREDITS: This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Michael Reilly and mixed by Garret Lang, with original music by Jacob Gorski. Artwork by Eric Mongeon.

A boy wrote about his suicide attempt. He didn’t realize his school's software was watching. While schools commonly use AI to sift through students' digital lives and flag keywords that may be considered concerning, critics ask at what cost to privacy. We Meet: Jeff Patterson, CEO of Gaggle Mark Keierleber, investigative reporter at The 74 Teeth Logsdon-Wallace, student Elizabeth Laird, director of Equity in Civic Technology at Center for Democracy & Technology Sounds From: "Your Heart is a Muscle 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-healing https://www.the74million.org/contributor/mark-keierleber/ You can support our journalism by going to http://www.techreview.com/subscribe.

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

AI consciousness isn’t just a devilishly tricky intellectual puzzle; it’s a morally weighty problem with potentially dire consequences. Fail to identify a conscious AI, and you might unintentionally subjugate, or even torture, a being whose interests ought to matter. Mistake an unconscious AI for a conscious one, and you risk compromising human safety and happiness for the sake of an unthinking, unfeeling hunk of silicon and code. Philosophers, cognitive scientists, and engineers are grappling with what it would take for AI to achieve consciousness—and whether it's even possible. This story was written by Grace Huckins and narrated by NOA.

This is a detective story that’s unsolved. Hosted by investigative reporter Antonio Regalado, Curious Coincidence dives into the mysterious origins of Covid-19 by examining the genome of the virus, the labs doing sensitive research on dangerous pathogens, and questions of whether a lab accident may have touched off a global pandemic. A five-part investigation from MIT Technology Review.

This week we're sharing another tech show we made that we think you're going to love. It's called The Extortion Economy and it's a five-part series about the ransomware epidemic produced with ProPublica. See you soon with a whole new season of In Machines We Trust!! -- A new-age iteration of the old-age extortion problem. A ransomware vigilante, a piracy (as in actual boats) expert, a school administrator, and a kidnapping victim share their experiences. This is part one. We Meet: Fabian Wosar, CTO, Emsisoft  Doug Russell, Director of Technology, Haverhill Public Schools Lisa Forte, Co-founder, Red Goat Cyber Security Credits:  This series is hosted by Meg Marco and produced by Emma Cillekens, Tate Ryan-Mosley and Anthony Green. It’s inspired by reporting from Renee Dudley and Daniel Golden from ProPublica. We're edited by Bobbie Johnson, Michael Reilly, Mat Honan and Robin Fields. Our mix engineer is Erick Gomez with help from Rebekah Wineman. Our theme music is by Jacob Gorski. Art is from Lisa Larson-Walker and Eric Mongeon. Emma Cillekens is our voice coach. The executive producers of The Extortion Economy podcast are Meg Marco and Jennifer Strong. Sounds From:  Video: Colonial Pipeline CEO Joseph Blount testifies at the Senate Homeland Security Committee, Source: CNBC Television, https://www.youtube.com/watch?v=DcYePKjI_mc Video: Roving Report Italy, Source: AP, http://www.aparchive.com/metadata/youtube/8b08bfc68a0b203d238aa8e0c4316e61  Video: CBS Evening News 1989-12-14, Source: CBS, https://www.youtube.com/watch?v=wHsbZEX5pQw

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.  

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 our theme music is by Jacob Gorski.