Podcast: In Machines We Trust - When an Algorithm Gets It Wrong MIT Technology Review 2024-10-22 | Podcast: In Machines We Trust - When an Algorithm Gets It Wrong
Humanity and AI: A conversation with the director of The Creator MIT Technology Review 2023-09-15 | As many today try to imagine the future of our world with artificial intelligence, MIT Technology Review’s senior editor of AI, Melissa Heikkilä, speaks with Gareth Edwards, director of the upcoming sci-fi epic “The Creator,” about the current state of AI and the pitfalls and possibilities ahead as this technology marches toward sentience. The film, releasing September 29th and starring John David Washington and Gemma Chan, imagines a futuristic world where humans and AI are at war and fundamentally explores humanity’s relationship with AI, what it means to be human, and what it means to be alive.Sign up for Melissa's newsletter, The Algorithm: forms.technologyreview.com/newsletters/ai-demystified-the-algorithmVisit MIT Technology Review at: technologyreview.com#AI #technology #news #thecreatormovie #garethedwards
MIT Technology Review: Preparing you for what’s coming next in tech (:30) MIT Technology Review 2023-05-23 | Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a world-renowned, independent media company whose insight, analysis, reviews, interviews and live events explain the newest technologies and their commercial, social and political impacts.MIT Technology Review derives authority from its relationship to the world's foremost technology institution and from its editors' deep technical knowledge, capacity to see technologies in their broadest context, and unequaled access to leading innovators and researchers.Our in-depth reporting reveals what’s going on now to prepare you for what’s coming next. Engage with MIT Technology Review here: technologyreview.com---Subscribe to our journalism: https://www.technologyreview.com/subs...Subscribe to our newsletters: https://www.technologyreview.com/news...Listen: https://www.technologyreview.com/supe...Attend our events: technologyreview.com/eventsCustom Content (Insights & MITTR Studios): https://www.technologyreview.com/cust...Follow us on social:Twitter: twitter.com/techreviewFacebook: https://www.facebook.com/technologyre...LinkedIn: https://www.linkedin.com/company/mit-...Instagram: https://www.instagram.com/technologyr...—Credits:MITTR Studios for MIT Technology Review: Caitlin BergmannCopywriter: Caitlin BergmannProduction Company: The Reserve LabelExecutive Producer: Ryan Slavin
Geoffrey Hinton at EmTech Digital 2023 MIT Technology Review 2023-05-03 | Geoffrey Hinton speaks with Will Douglas Heaven, MIT Technology Review’s senior editor for AI, at EmTech Digital 2023 about the “existential threat” of AI.Watch the full interview: technologyreview.com/2023/05/03/1072589/video-geoffrey-hinton-google-ai-risk-ethics
MIT Technology Review & Azure present: Azure Networking Services MIT Technology Review 2023-03-16 | Today’s reality is that work happens everywhere, so organizations are relying more than ever on networks to manage, connect, power, and secure everything they do. Looking for a network solution that can optimize performance and tighten security for your business? Enter Azure Networking Services. Explore how to ease the complexity of remote work, maximize edge intelligence, and keep your data secure with a zero-trust model.Learn more here: https://aka.ms/azurenetworking_fundamentals This video was produced by MITTR Studios in partnership with Azure.—Transcript:Today’s reality is that work happens everywhere, so organizations are relying more than ever on networks to manage, connect, power, and secure everything they do. The process of building, maintaining, and securing those networks has reached a level of complexity that’s nearly as wild as a hybrid workforce. But having the right network services solution isn’t a “nice-to-have.” If your business isn’t on top of optimizing performance both in and out of the office, you’re not in the game. The right solution can ease the complexity of remote work, maximize the value of edge intelligence, and tighten security to better protect people and data. That’s important for several reasons. For starters, businesses that don’t have a secure network infrastructure face both internal and external threats. Costly cyber attacks have the potential to shut down a small or even midsize business permanently. Azure Networking Services – with built-in availability, scalability, and reliability – enables industry-leading service level agreements that help ensure business continuity even during traffic spikes and latency issues, while promoting security via a zero trust model.Azure is working with healthcare providers to better protect patient privacy, financial institutions to prevent fraud, and retail companies to offer frictionless checkout and optimize supply chains. Keeping your business operational in any scenario comes down to a modern, secure network. As bad actors get more creative and network attacks more sophisticated, those networks must follow suit with strategic protection. And let’s not forget that data is available everywhere. It takes networking services to connect all that data in order to derive actionable business intelligence, and to ensure they stay connected in critical scenarios no matter the latency required.The landscape has changed, and it will continue to do so. Companies that want to keep up will have to stay laser-focused on network innovation. And one of the best ways to do that is with partners like Azure Networking and Network Security Services, those who are dedicated to providing the very capabilities needed to meet the world of work where it is today, and wherever it goes tomorrow.
Farming a war zone — In Machines We Trust MIT Technology Review 2023-01-26 | 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, UkraineMorten Schmidt, Chief Executive Officer, OneSoilInbal Reshef, Program Director, NASA HarvestOlekssi Misiura, Head of Research and Development, IMCIn Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust—Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878Spotify: open.spotify.com/show/6QefEeY1IKYVn5w6nUV83Y?si=d344afe31525454If you have an idea for a story or something you’d like to hear, please drop a note to podcasts@technologyreview.com.You can support our journalism by going to technologyreview.com/subscribe.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.#podcast #technology #ai #artificialintelligence
What’s next for space research? — In Machines We Trust MIT Technology Review 2023-01-14 | 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 of In Machines We Trust, 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.Sounds from:- What the next space station might look like, CNBC via YouTube.- International Space Station removed from orbit 2031, NBC, via YouTube.- Space Station to retire in 2031, NASA says, Fox 35 Orlando, via YouTube.- Axiom Mission 1 Launches to the Space Station, NASA, via YouTube.In Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust—Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878Spotify: open.spotify.com/show/6QefEeY1IKYVn5w6nUV83Y?si=d344afe31525454If you have an idea for a story or something you’d like to hear, please drop a note to podcasts@technologyreview.com.You can support our journalism by going to technologyreview.com/subscribe.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 MIT Technology Review's events team.#podcast #technology #ai #artificialintelligence
Decoding a future of fire — In Machines We Trust MIT Technology Review 2023-01-05 | Climate change and decades of forest mismanagement are fueling increasingly destructive wildfires in the Western US. Scientists, lawmakers, fire chiefs and startups are all trying to gain a better understanding of the growing challenge ahead, and what role technology might play in helping us more safely manage it. In this second installment of a two-part series, we examine the tools and technologies being used to fight wildfires.We Meet:Tricia Small, Television Producer, Small Fox FilmsGeorge Whitesides, Space ExecutiveBrittany Zajic, Disaster Response, Planet LabsDave Winnacker, Fire Chief, Moraga-Orinda Fire DistrictSounds from: California declares state of emergency; entire city of Malibu evacuated, via YouTube. Increase in illegal drone flights causes grounded flights, issues for firefighters, via YouTube.In Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust—Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878Spotify: open.spotify.com/show/6QefEeY1IKYVn5w6nUV83Y?si=d344afe31525454If you have an idea for a story or something you’d like to hear, please drop a note to podcasts@technologyreview.com.You can support our journalism by going to technologyreview.com/subscribe.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.#podcast #technology #ai #artificialintelligence
How AI watches wildfires — In Machines We Trust MIT Technology Review 2022-12-22 | Take 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 from In Machines We Trust.We meet: Dustin Tetrault, Deputy Fire Chief, Big Sky Fire DepartmentSankar Narayanan, Chief Practice Officer, Fractal AnalyticsSounds from: Early Animated Smokey Bear Commercial, via YouTube. Smokey Bear PSA: Please only you can prevent forest fires (1965 - faded color), via YouTube. Grilling | Wildfire Prevention | Ad Council, via YouTube. Australia's Wildlife Emergency | 101 East, via YouTube.At Least Two Killed In California Wildfire, CBS Mornings, via YouTube.CAL FIRE Home Hardening 30 Sec PSA, via YouTube.In Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust—Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878Spotify: open.spotify.com/show/6QefEeY1IKYVn5w6nUV83Y?si=d344afe31525454You can support our journalism by going to technologyreview.com/subscribe.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.#podcast #technology #ai #artificialintelligence
Scene featuring Antonio Regalado from Make People Better, the new CRISPR baby documentary MIT Technology Review 2022-12-13 | Chinese scientist He Jiankui created shock waves in 2018 with the stunning claim that he’d altered the genetic makeup of IVF embryos and implanted them into a woman’s uterus, leading to the birth of twin girls.The existence of the CRISPR baby project was uncovered by MIT Technology Review on the eve of an international genome-editing summit in Hong Kong, held in November 2018. This was reported on extensively by MIT Technology Review senior editor for biomedicine, Antonio Regalado.This remarkable story and the events leading up to it are told in a new documentary by @codysheehy_Rhumbline, entitled "Make People Better." Watch an exclusive scene from the forthcoming film featuring Antonio Regalado now, and learn more about the #MakePeopleBetterFilm documentary: makepeoplebetterfilm.com***Read more articles by Antonio Regalado on this topic on technologyreview.com:The creator of the CRISPR babies has been released from a Chinese prison (2022):technologyreview.com/2022/04/04/1048829/he-jiankui-prison-free-crispr-babiesChinese scientists are creating CRISPR babies (2018):technologyreview.com/2018/11/25/138962/exclusive-chinese-scientists-are-creating-crispr-babiesThis scene was provided to MIT Technology Review with permission from the filmmakers.***Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a world-renowned, independent media company whose insight, analysis, reviews, interviews and live events explain the newest technologies and their commercial, social and political impacts.MIT Technology Review derives authority from its relationship to the world's foremost technology institution and from its editors' deep technical knowledge, capacity to see technologies in their broadest context, and unequaled access to leading innovators and researchers.Our in-depth reporting reveals what’s going on now to prepare you for what’s coming next. Engage with MIT Technology Review here: technologyreview.com---Subscribe to our journalism: technologyreview.com/subscribeSubscribe to our newsletters: technologyreview.com/newsletter-preferencesListen: technologyreview.com/supertopic/in-machines-we-trustAttend our events: technologyreview.com/eventsCustom Content (Insights & MITTR Studios): technologyreview.com/custom-contentFollow us on social:Twitter: twitter.com/techreviewFacebook: facebook.com/technologyreviewLinkedIn: linkedin.com/company/mit-technology-reviewInstagram: instagram.com/technologyreview
I Was There When: AI replicated Darth Vader — In Machines We Trust MIT Technology Review 2022-12-08 | AI has recently voiced two iconic characters in Star Wars spin-offs. In this episode of In Machines We Trust, we meet Alex Serdiuk, the founder and CEO of the company responsible for those voices. 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 Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust—Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878Spotify: open.spotify.com/show/6QefEeY1IKYVn5w6nUV83Y?si=d344afe31525454You can support our journalism by going to technologyreview.com/subscribe.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.#podcast #technology #ai #artificialintelligence
I Was There When: AI mastered chess — In Machines We Trust MIT Technology Review 2022-12-01 | In the late ‘90s, IBM’s Deep Blue computer beat the reigning world champion of chess. It paved the way for a revolution in automationI 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 the chess player that Deep Blue beat, Garry Kasparov.In Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust on Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878You can support our journalism by going to technologyreview.com/subscribe.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.#podcast #technology #ai #artificialintelligence
MIT Technology Review - Chasing Technology - Cybersecurity :15 MIT Technology Review 2022-11-16 | "Chasing Technology" is presented by MIT Technology Review in partnership with JPMorgan Chase. Episodes of "Chasing Technology" will launch this fall from the newly minted MITTR Studios, established by MIT Technology Review to tell emerging technology stories in new and novel ways, and showcase those redefining brand innovation: http://www.technologyreview.com/chasingtechnology
MIT Technology Review - Chasing Technology - Access Management :15 MIT Technology Review 2022-11-16 | "Chasing Technology" is presented by MIT Technology Review in partnership with JPMorgan Chase. Episodes of "Chasing Technology" will launch this fall from the newly minted MITTR Studios, established by MIT Technology Review to tell emerging technology stories in new and novel ways, and showcase those redefining brand innovation: http://www.technologyreview.com/chasingtechnology
How AI is birthing digital humans that look and sound just like us — In Machines We Trust MIT Technology Review 2022-11-03 | AI-powered replicas of real people are taking on the jobs of entertainers, law enforcement and more. These digital twins capture the physical look and expressions of real humans. They raise some interesting opportunities as well as thorny questions. In this episode, we speak to Greg Cross, CEO and co-founder of Soul Machines.Sounds from:2PAC HOLOGRAM | LIVE Coachella Recording | High Quality - via YouTubeI'm Miquela, A Real-Life Robot Mess - via YouTubeCapitol Records signs AI, or 'virtual', rapper ... then drops the artist after pushback - via YouTubeFN Meka Voice Glad Capitol Killed the Contract, Hitmaka Agrees | TMZ - via YouTube Black Mirror: You, me and Ashley Too - via NetflixFN Meka - Moonwalkin’ - via YouTubeCapitol Records Drops Virtual Rapper FN Meka After Backlash Over Racist Stereotypes | Billboard News - via YouTube Kyle the Hooligan, the Black Rapper Behind FN Meka Says He's Suing | TMZ - via YouTubeFuture of digital humans – Mao Lin Liao - via YouTubeIn Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust on Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878You can support our journalism by going to technologyreview.com/subscribe.This episode was produced by 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 Jacob Gorski. Art by Erica Snyder.#podcast #technology #ai #artificialintelligence
How one vineyard is using AI to improve its winemaking — In Machines We Trust MIT Technology Review 2022-10-28 | In this episode, we’re doing something a little bit different. Join us as we take a trip to a Californian vineyard to learn about how it’s deploying sensors and other forms of AI. We meet:Dirk Heuvel, vice president of vineyard operations, McManis Family VineyardsIn Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust on Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878You can support our journalism by going to technologyreview.com/subscribe.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. #podcast #technology #ai #artificialintelligence
How retail is using AI to prevent fraud — In Machines We Trust MIT Technology Review 2022-10-20 | 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 ever 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. In Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust on Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878You can support our journalism by going to technologyreview.com/subscribe.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.#podcast #technology #ai #artificialintelligence
MIT Technology Review - Chasing Technology - Access Management :30 MIT Technology Review 2022-10-18 | "Chasing Technology" is presented by MIT Technology Review in partnership with JPMorgan Chase. Episodes of "Chasing Technology" will launch this fall from the newly minted MITTR Studios, established by MIT Technology Review to tell emerging technology stories in new and novel ways, and showcase those redefining brand innovation: http://www.technologyreview.com/chasingtechnology
MIT Technology Review & JPMorgan Chase present: Chasing Technology - Access Management MIT Technology Review 2022-10-18 | Valanka loves to move. Whether innovating seamless tech solutions in the city that never sleeps, hiking on the weekends or dancing, she is constantly in motion. Managing an engineering team, she sits at the center of JPMorgan Chase operations, supporting every business line.Valanka is one of the thousands of technologists responsible for the solutions and services that the world’s most important institutions, corporations, and governments rely on. The stakes are high; there’s little room for error. Valanka and her fellow 55,000 technology experts bring unique lived experience to the table, drawing on knowledge from a wide—and sometimes surprising—range of backgrounds to develop for today and anticipate for tomorrow. Veterans, academics, volunteers, scientists, coaches, immigrants, mentors, parents, and caretakers are leading new ways of doing business.Meet Valanka, and get to know the technologists of JPMorgan Chase as they're "Chasing Technology": http://www.technologyreview.com/chasingtechnology #ChasingTechnology—Credits:"Chasing Technology" is presented by MIT Technology Review in partnership with JPMorgan Chase. MITTR Studios for MIT Technology Review: Caitlin BergmannProduction Company: The Reserve LabelExecutive Producer: Ryan SlavinDirector/DP: Brooks Reynolds Producer: David McGinley Editor: Jeremy HuffPost Producer: Carly Wolfson Post Producer: Kong Yang Title Design & GFX: Joe DietschColorist: Nick Lindell-WrightComposer: Michael Beliveau—Transcript:I love the city. It’s so crowded but whenever I’m in the city, I feel I’m part of it. I'm Valanka Fernandes. I’m an engineering lead at JPMorgan Chase. I'm from India. Every movie over there is songs and dancing.Dancing has been a part of my culture … like weddings and everything. So dancing was natural to me. I go to a Zumba class, and I come out energized. That high energy and confidence makes me feel good about myself. I started as a junior developer, and I grew into leadership a role. Growth for me is personal, professional and emotional. In the tech industry, every piece is critical. It’s a lot of coordination and a lot of work needed in order to build something. Security is very critical for us. Nothing else matters. We ensure that the person who is logging in … is the Chase customer. It should be a simple experience too. It should not be a complicated flow of multiple screens. I hope that we can deliver more features which customers can relate to, which makes their life easier.The technology is changing. The business is changing. The customer itself is changing. They are more tech savvy now. You are part of someone's life and ensuring that people are happy and using it, and are benefiting. It starts as a tiny idea to the part where you actually build everything, roll out everything, and then it's finally out there. And I have contributed my small bit in that journey, makes me happy. ###
MIT Technology Review - Chasing Technology - Software Engineering :30 MIT Technology Review 2022-10-12 | "Chasing Technology" is presented by MIT Technology Review in partnership with JPMorgan Chase. Episodes of "Chasing Technology" will launch this fall from the newly minted MITTR Studios, established by MIT Technology Review to tell emerging technology stories in new and novel ways, and showcase those redefining brand innovation: http://www.technologyreview.com/chasingtechnology
MIT Technology Review - Chasing Technology - Software Engineering :15 MIT Technology Review 2022-10-12 | "Chasing Technology" is presented by MIT Technology Review in partnership with JPMorgan Chase. Episodes of "Chasing Technology" will launch this fall from the newly minted MITTR Studios, established by MIT Technology Review to tell emerging technology stories in new and novel ways, and showcase those redefining brand innovation: http://www.technologyreview.com/chasingtechnology
MIT Technology Review & JPMorgan Chase present: Chasing Technology - Software Engineering MIT Technology Review 2022-10-12 | Yoga requires grace and strength — skills Taylor brings to her role (and any challenges thrown her way) every day. A second-generation technologist at JPMorgan Chase, her own path to tech was non-traditional. Her unique personality, unmistakable. She is a software engineer in the mortgage lending department at one of the world’s largest, and best-known financial institutions, JPMorgan Chase.Taylor is one of the thousands of technologists responsible for the solutions and services that the world’s most important institutions, corporations, and governments rely on. The stakes are high; there’s little room for error. Taylor and her fellow 55,000 technology experts bring unique lived experience to the table, drawing on knowledge from a wide—and sometimes surprising—range of backgrounds to develop for today and anticipate for tomorrow. Veterans, academics, volunteers, scientists, coaches, immigrants, mentors, parents, and caretakers are leading new ways of doing business.Meet Taylor, and get to know the technologists of JPMorgan Chase as they're "Chasing Technology": http://www.technologyreview.com/chasingtechnology #ChasingTechnology—Credits:"Chasing Technology" is presented by MIT Technology Review in partnership with JPMorgan Chase. MITTR Studios for MIT Technology Review: Caitlin BergmannProduction Company: The Reserve LabelExecutive Producer: Ryan SlavinDirector/DP: Brooks Reynolds Producer: David McGinley Editor: Jeremy HuffPost Producer: Carly Wolfson Post Producer: Kong Yang Title Design & GFX: Joe DietschColorist: Nick Lindell-WrightComposer: Michael Beliveau—Transcript:I see myself as being someone that is not afraid to express themselves …someone that brings a fresh new perspective into the firm. And not being afraid to show …this is me. My name is Taylor Brown. I'm a software engineer at JPMorgan Chase in our home lending department, and I support our mortgage applications. My job is to bring modernization to our legacy applications. The integration process is the biggest point of my job. My dad works at JPMorgan Chase as well. He's my mentor. Even when I was young, software development seemed to be kind of interesting. I never thought that I would end up where he was at. Yoga is peace, yoga is growth. It gives me that stick to it ness and perseverance to be able to move forward in every aspect of my life. What centers me is quality time with myself and with my family. My son. …I would love for him to follow in our footsteps. His brain is huge. I'm just excited to see what he's going to do. I learned Python, and it just let me know that I could do anything. I looked at down at it and I'm like, okay, okay, dot net. I can learn that C++. Okay, yeah, we can do that! JPMorgan Chase is so focused on your knowledge and input. You feel known. You feel like you are a part of a family.I love that I can show talent and expertise and knowledge. There’s people there that are depending on you. And no voice goes unheard. If everybody could embrace that culture, the corporate world would change immensely in the world of technology.###
MIT Technology Review - Chasing Technology - Cybersecurity :30 MIT Technology Review 2022-10-11 | "Chasing Technology" is presented by MIT Technology Review in partnership with JPMorgan Chase. Episodes of "Chasing Technology" will launch this fall from the newly minted MITTR Studios, established by MIT Technology Review to tell emerging technology stories in new and novel ways, and showcase those redefining brand innovation: http://www.technologyreview.com/chasingtechnology
MIT Technology Review & JPMorgan Chase present: Chasing Technology - Cybersecurity MIT Technology Review 2022-10-11 | This father of five and veteran is a cybersecurity lead at one of the world’s largest, and best-known financial institutions, JPMorgan Chase.Nick is one of the thousands of technologists responsible for the solutions and services that the world’s most important institutions, corporations, and governments rely on. The stakes are high; there’s little room for error. Nick and his fellow 55,000 technology experts bring unique lived experience to the table, drawing on knowledge from a wide—and sometimes surprising—range of backgrounds to develop for today and anticipate for tomorrow. Veterans, academics, volunteers, scientists, coaches, immigrants, mentors, parents, and caretakers are leading new ways of doing business.Meet Nick, and get to know the technologists of JPMorgan Chase as they're "Chasing Technology": http://www.technologyreview.com/chasingtechnology #ChasingTechnology—Credits:"Chasing Technology" is presented by MIT Technology Review in partnership with JPMorgan Chase. MITTR Studios for MIT Technology Review: Caitlin BergmannProduction Company: The Reserve LabelExecutive Producer: Ryan SlavinDirector/DP: Brooks Reynolds Producer: David McGinley Editor: Jeremy HuffPost Producer: Carly Wolfson Post Producer: Kong Yang Title Design & GFX: Joe DietschColorist: Nick Lindell-WrightComposer: Michael Beliveau—Transcript:I never actually thought I'd be at a bank. The best things happen when you don't expect them. I'm at my best when the pressure's highest, which is why I'm still a drilling reservist. My name is Nick Adam. I work at JPMorgan Chase doing cybersecurity. We operate in over 60 countries as a bank. We have to be available and up all the time. Our payment systems have to function. The work’s never done. But that's also why I think military folks do so well in this environment. We are trained to be kind of calm in the chaos. I've always wanted to be around the smartest people, aligned to the most critical things. We invest in talent because we can't get it wrong. Work-life balance is feeding the right culture of the organization. I love running. It's not all work all the time. And you got to take the time for yourself. That differentiates JPMorgan Chase from a lot of our competitors. And certainly what I see among other tech companies. Family for me is kind of a center of everything I do. I'm helping to protect them and give them, hopefully, a better world than the one I grew up in. We're always evaluating new technology, but then the adversary does something you don't expect, and you have to react to that. I'm a bit uncomfortable when it's calm, but the reality is …if we don't find it, someone else will. ###
I Was There When: AI helped create a vaccine — In Machines We Trust MIT Technology Review 2022-10-06 | 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.In Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust on Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878You can support our journalism by going to technologyreview.com/subscribe.This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It’s edited by Michael Reilly and mixed by Garret Lang with original music by Jacob Gorski. The art is from Eric Mongeon and Stephanie Arnett.#podcast #technology #ai #artificialintelligence
How to craft effective AI policy — In Machines We Trust MIT Technology Review 2022-09-29 | This is 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 InstitutionAnthony Green, producer of the In Machines We Trust podcastIn Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust on Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878You can support our journalism by going to technologyreview.com/subscribe.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.#podcast #technology #ai #artificialintelligence
Can AI keep guns out of schools? — In Machines We Trust MIT Technology Review 2022-09-22 | 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 74Mike Ellenbogen, Founder, chief innovation officer at Evolv TechnologiesDonald Maye, head of operations at IPVMSounds From:Spielberg, S. (2002). Minority Report. Twentieth Century Fox.Avigilon Athena Security integration for Gun Detection, via YouTube In Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust on Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878You can support our journalism by going to technologyreview.com/subscribe.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.#podcast #technology #ai #artificialintelligence
I Was There When: AI became the DJ — In Machines We Trust MIT Technology Review 2022-09-14 | 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. In Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust on Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878You can support our journalism by going to technologyreview.com/subscribe.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.#podcast #technology #ai #artificialintelligence
Who watches AI watching students? — In Machines We Trust MIT Technology Review 2022-09-06 | 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.theguardian.com/education/2021/oct/12/school-surveillance-dragnet-suicide-attempt-healingthe74million.org/contributor/mark-keierleberIn Machines We Trust is a podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.Subscribe to In Machines We Trust on Apple Podcasts: podcasts.apple.com/us/podcast/in-machines-we-trust/id1523584878You can support our journalism by going to technologyreview.com/subscribe.#podcast #technology #artificialintelligence #AI
Podcast: In Machines We Trust - What is AI. We made this to help. MIT Technology Review 2021-11-29 | Defining what is, or isn’t artificial intelligence can be tricky (or tough). So much so, even the experts get it wrong sometimes. That’s why MIT Technology Review’s Senior AI Editor Karen Hao created a flowchart to explain it all. In this bonus content our host and her team reimagined Hao’s reporting, gamifying it into a radio play.If you would like to see the original reporting visit:technologyreview.com/2018/11/10/139137/is-this-ai-we-drew-you-a-flowchart-to-work-it-outCredits: This episode was reported by Karen Hao. It was adapted for audio and produced by Jennifer Strong and Emma Cillekens. The voices you hear are Emma Cillekens, as well as Eric Mongeon and Kyle Thomas Hemingway. (If you like our show art they made it!) We’re edited by Michael Reilly and Niall Firth.
Podcast: In Machines We Trust - I Was There When Facebook put profit over safety MIT Technology Review 2021-11-29 | In this episode, we meet Sophie Zhang—a former data scientist at Facebook. Before she was fired, she had become consumed by the task of finding and taking down fake accounts that were being used to sway elections globally.I Was There When is a new oral history project from 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.Credits:This episode was produced by Jennifer Strong, Anthony Green and Emma Cillekens, and edited by Niall Firth and Mat Honan. It’s mixed by Garret Lang, with theme music by Jacob Gorski.
Podcast: In Machines We Trust - How pricing algorithms learn to collude MIT Technology Review 2021-11-29 | 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 designerGabe Smith, chief evangelist, PricefxAylin Caliskan, assistant professor, University of WashingtonJoseph Harrington, professor of business, economics and public policy, University of PennsylvaniaMaxime Cohen, Scale AI Chair professor, McGill UniversityCredits: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.
Podcast: In Machines We Trust - I Was There When Facial Recognition was Commercialized MIT Technology Review 2021-11-29 | 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 in artificial intelligence and computing happened, as told by the people who witnessed them.In this first installment we meet Joseph Atick who helped create the first commercially viable facial recognition system.Do you have a story to tell for this series? Do you want to nominate someone who does? We want to hear from you! Please reach out to us at podcasts@technologyreview.com.
Podcast: In Machines We Trust - How games teach AI to learn for itself MIT Technology Review 2021-11-29 | 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.
Podcast: In Machines We Trust - Beating the AI hiring machines MIT Technology Review 2021-08-24 | When it comes to hiring, it’s increasingly becoming an AI’s world, we’re just working in it. In this, the final episode of Season 2, and the conclusion of our series on AI and hiring, we take a look at how AI-based systems are increasingly playing gatekeeper in the hiring process—screening out applicants by the millions, based on little more than what they see in your resume. But we aren’t powerless against the machines. In fact, an increasing number of people and services are designed to help you play by—and in some cases bend—their rules to give you an edge.Part 1: youtu.be/ztcVB_zh_M0Part 2: youtu.be/HDlsKvfdYOsPart 3: youtu.be/hX8fSu9otNsWe Meet:Jamaal Eggleston, Work Readiness Instructor, The HOPE ProgramIan Siegel, CEO, ZipRecruiterSami Mäkeläinen, Head of Strategic Foresight, TelstraSalil Pande, CEO, VMockGracy Sarkissian, Interim Executive Director, Wasserman Center for Career Development, New York UniversityWe Talked To:Jamaal Eggleston, Work Readiness Instructor, The HOPE ProgramStudents and Teachers from The HOPE Program in Brooklyn, NYJonathan Kestenbaum, Co-founder & Managing Director of Talent Tech LabsJosh Bersin, Global Industry AnalystBrian Kropp, Vice President Research, GartnerIan Siegel, CEO, ZipRecruiterSami Mäkeläinen, Head of Strategic Foresight, TelstraSalil Pande, CEO, VMockKiran Pande, Co-Founder, VMockGracy Sarkissian, Interim Executive Director, Wasserman Center for Career Development, New York UniversitySounds From:Curious Thing AI (Sound from their AI tool)HireVue Video Interview: How To Beat The Algorithm and Get The Job: youtu.be/jn0dc1cOctAHIREVUE Interview Questions, Tips and Answers! How to PASS a HireVue Interview!: youtu.be/ycG5_uccoNkVideo Interview Techniques - 3 Easy Hacks To Prepare for Hirevue / Spark Hire / VidCruiter: youtu.be/tp0jt4hoHsIHow to PASS Psychometric Tests | Tips & Tricks for Aptitude Tests, Numerical Reasoning, Game Based: youtu.be/u_nWOnJevaACreditsVO: This miniseries on hiring was reported by Hilke Schellmann and produced by Jennifer Strong, Emma Cillekens, Anthony Green and Karen Hao. We’re edited by Michael Reilly.
Podcast: In Machines We Trust - Playing the job market MIT Technology Review 2021-07-22 | Increasingly, job seekers need to pass a series of ‘tests’ in the form of artificial intelligence games—just to be seen by a hiring manager. In this third, of a four-part miniseries on AI and hiring, we speak to someone who helped create these tests, we ask who might get left behind in the process and why there isn’t more policy in place. We also try out some of these tools ourselves.Part 1: youtu.be/ztcVB_zh_M0Part 2: youtu.be/BAnU4yq0QzoWe Meet:Matthew Neale, Vice President of Assessment Products, Criteria Corp.Frida Polli, CEO, PymetricsHenry Claypool, Consultant and former Obama Administration Member, Commission on Long-Term CareSafe Hammad, CTO, Arctic ShoresAlexandra Reeve Givens, President and CEO, Center for Democracy and TechnologyNathaniel Glasser, Employment Lawyer, Epstein Becker GreenKeith Sonderling, Commissioner, Equal Employment Opportunity Commission (EEOC)We Talked To:Aaron Rieke, Managing Director, UpturnAdam Forman, Employment Lawyer, Epstein Becker GreenBrian Kropp, Vice President Research, GartnerJosh Bersin, Research AnalystJonathan Kestenbaum, Co-Founder and Managing Director, Talent Tech LabsFrank Pasquale, Professor, Brooklyn Law SchoolPatricia (Patti) Sanchez, Employment Manager, MacDonald Training CenterMatthew Neale, Vice President of Assessment Products, Criteria Corp.Frida Polli, CEO, pymetricsHenry Claypool, Consultant and former Obama Administration Member, Commission on Long-Term CareSafe Hammad, CTO, Arctic ShoresAlexandra Reeve Givens, President and CEO, Center for Democracy and TechnologyNathaniel Glasser, Employment Lawyer, Epstein Becker GreenKeith Sonderling, Commissioner, Equal Employment Opportunity Commission (EEOC)Sounds From:*Science 4-Hire, podcast*Matthew Kirkwold’s cover of XTC’s, Complicated Game, youtube.com/watch?v=tumM_6YYeXsCredits:This miniseries on hiring was reported by Hilke Schellmann and produced by Jennifer Strong, Emma Cillekens, Anthony Green and Karen Hao. We’re edited by Michael Reilly.
MIT Technology Review - Our in-depth reporting prepares you for what’s coming next in tech MIT Technology Review 2021-07-21 | Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a world-renowned, independent media company whose insight, analysis, reviews, interviews and live events explain the newest technologies and their commercial, social and political impacts.MIT Technology Review derives authority from its relationship to the world's foremost technology institution and from its editors' deep technical knowledge, capacity to see technologies in their broadest context, and unequaled access to leading innovators and researchers.Our in-depth reporting reveals what’s going on now to prepare you for what’s coming next. Engage with MIT Technology Review here: technologyreview.com---Subscribe to our journalism: technologyreview.com/subscribeSubscribe to our newsletters: technologyreview.com/newsletter-preferencesListen: technologyreview.com/supertopic/in-machines-we-trustAttend our events: technologyreview.com/eventsCustom Content (Insights & MITTR Studios): technologyreview.com/custom-contentFollow us on social:Twitter: twitter.com/techreviewFacebook: facebook.com/technologyreviewLinkedIn: linkedin.com/company/mit-technology-reviewInstagram: instagram.com/technologyreview—Credits:MITTR Studios for MIT Technology Review: Caitlin BergmannCopywriter: Caitlin BergmannProduction Company: The Reserve LabelExecutive Producer: Ryan Slavin
Podcast: In Machines We Trust - Want a job? The AI will see you now. MIT Technology Review 2021-07-07 | 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.Part 1: youtu.be/ztcVB_zh_M0Part 3: youtu.be/hX8fSu9otNsWe Meet:Kevin Parker, Chairman & CEO, HireVueShelton Banks, CEO, re:workMark Adams, Vice President of North America, Curious Thing AIBenjamin Gillman, Co-Founder and CEO, myInterviewFred Oswald, Psychology Professor, Rice UniversitySuresh Venkatasubramanian, Computer Science Professor, Brown University; Asst. Director, White House Office of Science and Technology PolicyClayton Donnelly, industrial-organizational psychologist, myInterviewWe Talked To:Kevin Parker, Chairman & CEO, HireVueLindsey Zuloaga, Chief Data Scientist, HireVueNathan Mondragon, Chief IO Psychologist, HireVueShelton Banks, CEO, re:workLisa Feldman Barrett, Psychology Professor, Northeastern UniversityCathy O’Neil, CEO, O'Neil Risk Consulting & Algorithmic AuditingMark Adams, Vice President of North America, Curious Thing AIHan Xu, Co-founder & CTO, Curious Thing AIBenjamin Gillman, Co-founder & CEO, myInterviewFred Oswald, Psychology Professor, Rice UniversitySuresh Venkatasubramanian, Computer Science Professor, Brown University; Asst. Director, White House Office of Science and Technology PolicyClayton Donnelly, industrial-organizational psychologist, myInterviewMark Gray, Director of People, ProperChristoph Hohenberger, Co-founder and Managing Director, RetorioDerek Mracek, Lead Data Scientist, YobsRaphael Danilo, Co-founder & CEO, YobsJonathan Kestenbaum, Co-founder & Managing Director of Talent Tech LabsJosh Bersin, Global Industry AnalystStudents and Teachers from the Hope Program in Brooklyn, NYHenry Claypool, policy expert and former Director of the U.S. Health and Human Services Office on DisabilitySounds From:Curious Thing AImyInterviewDolly Parton - 9 To 5: youtube.com/watch?v=UbxUSsFXYo4Arirang News: youtube.com/watch?v=30oCHwwLxy4CBS News: youtube.com/watch?v=fbRBCU6SHHoCBS Philly: youtube.com/watch?v=0wiPoCsZFFsCredits: 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.READ more about AI in hiring here: technologyreview.com/2021/07/07/1027916/we-tested-ai-interview-tools
Podcast: In Machines We Trust - Hired by an algorithm MIT Technology Review 2021-06-23 | If you’ve applied for a job lately, it’s all but guaranteed that your application was reviewed by software—in most cases, before a human ever laid eyes on it. In this episode, the first in a four-part investigation into automated hiring practices, we speak with the CEOs of ZipRecruiter and Career Builder, and one of the architects of LinkedIn’s algorithmic job-matching system, to explore how AI is increasingly playing matchmaker between job searchers and employers. But while software helps speed up the process of sifting through the job market, algorithms have a history of biasing the opportunities they present to people by gender, race...and in at least one case, whether you played lacrosse in high school.Part 2: youtu.be/BAnU4yq0QzoPart 3: youtu.be/hX8fSu9otNsWe Meet:Mark Girouard, Attorney, Nilan Johnson LewisIan Siegel, CEO, ZipRecruiterJohn Jersin, former Vice President of Product Management, LinkedInIrina Novoselsky, CEO, CareerBuilderWe Talked To:Mark Girouard, Attorney, Nilan Johnson LewisIan Siegel, CEO, ZipRecruiterJohn Jersin, former Vice President of Product Management, LinkedInIrina Novoselsky, CEO, CareerBuilderDerek Kan, Vice President of Product Management, MonsterAleksandra Korolova, Assistant Professor of Computer Science, University of Southern CaliforniaBrian Kropp, Vice President Research, GartnerMatthew Neale, Vice President of Assessment Products, Criteria CorpJosh Bersin, Research AnalystJonathan Kestenbaum, Co-Founder and Managing Director, Talent Tech LabsSuresh Venkatasubramanian, Assistant Director, White House Office of Science and Technology PolicySounds From:How to Keep a Job, Coronet Instructional Films: archive.org/details/HowtoKee1949Curious Thing AI (Sound from their AI tool)Credits:This episode was reported by Hilke Schellmann, and produced by Jennifer Strong, Emma Cillekens and Anthony Green with special thanks to Karen Hao. We’re edited by Michael Reilly.Additional reporting from us:technologyreview.com/2021/06/23/1026825/linkedin-ai-bias-ziprecruiter-monster-artificial-intelligencetechnologyreview.com/2021/02/11/1017955/auditors-testing-ai-hiring-algorithms-bias-big-questions-remaintechnologyreview.com/2021/04/09/1022217/facebook-ad-algorithm-sex-discriminationtechnologyreview.com/2019/11/07/75194/hirevue-ai-automated-hiring-discrimination-ftc-epic-biastechnologyreview.com/2020/02/14/844765/ai-emotion-recognition-affective-computing-hirevue-regulation-ethics
Podcast: In Machines We Trust - When AI Becomes Childsplay MIT Technology Review 2021-06-09 | Despite their popularity with kids, tablets and other connected devices are built on top of systems that weren’t designed for them to easily understand or navigate. Adapting algorithms to interact with a child isn’t without its complications—as no one child is exactly like another. Most recognition algorithms look for patterns and consistency to successfully identify objects. but kids are notoriously inconsistent. In this episode, we examine the relationship AI has with kids.We Meet:Judith Danovitch, associate professor of psychological and brain sciences at the University of LouisvilleLisa Anthony, associate professor of computer science at the University of FloridaTanya Basu, MIT Technology ReviewCredits: This episode was reported and produced by Tanya Basu, Anthony Green, Jennifer Strong, and Emma Cillekens. We’re edited by Michael Reilly.
Podcast: In Machines We Trust - Can AI fix your credit? MIT Technology Review 2021-05-13 | Credit scores have been used for decades to assess consumer creditworthiness, but their scope is far greater now that they are powered by algorithms: not only do they consider vastly more data, in both volume and type, but they increasingly affect whether you can buy a car, rent an apartment, or get a full-time job.We meet:Chi Chi Wu, staff attorney at National Consumer Law CenterMichele Gilman, professor of law at University of BaltimoreMike de Vere, CEO Zest AICredits: This episode was produced by Jennifer Strong, Karen Hao, Emma Cillekens and Anthony Green. We’re edited by Michael Reilly.
Unboxing the Lucira home covid-19 test MIT Technology Review 2021-05-04 | Watch editor Antonio Regalado as he unboxes and takes the Lucira Check-It covid-19 test kit.
Podcast: In Machines We Trust - Whats in a voice MIT Technology Review 2021-04-29 | Synthetic voice technologies are increasingly passing as human. But today’s voice assistants are still a far cry from the hyper-intelligent thinking machines we’ve been musing about for decades. In this episode, we explore how machines learn to communicate—and what it means for the humans on the other end of the conversation.We meet:Susan C. Bennett, voice of SiriCade Metz, The New York TimesCharlotte Jee, MIT Technology ReviewCredits: This episode was produced by Jennifer Strong, Emma Cillekens, Anthony Green, Karen Hao and Charlotte Jee. We’re edited by Michael Reilly and Niall Firth.
Podcast: In Machines We Trust - What’s AI doing in your wallet? MIT Technology Review 2021-04-22 | Tech giants are moving into our wallets—bringing AI and big questions with them.Our entire financial system is built on trust. We can exchange otherwise worthless paper bills for fresh groceries, or swipe a piece of plastic for new clothes. But this trust—typically in a central government-backed bank—is changing. As our financial lives are rapidly digitized, the resulting data turns into fodder for AI. Companies like Apple, Facebook and Google see it as an opportunity to disrupt the entire experience of how people think about and engage with their money. But will we as consumers really get more control over our finances? In this first of a series on automation and our wallets, we explore a digital revolution in how we pay for things.We meet:Umar Farooq, CEO of Onyx by J.P. Morgan ChaseJosh Woodward, Director of product management for Google PayEd McLaughlin, President of operations and technology for MasterCardCraig Vosburg, Chief product officer for MasterCardCredits: This episode was produced by Anthony Green, with help from Jennifer Strong, Karen Hao, Will Douglas Heaven and Emma Cillekens. We’re edited by Michael Reilly. Special thanks to our events team for recording part of this episode at our AI conference, Emtech Digital.
Podcast: In Machines We Trust - The AI of the Beholder MIT Technology Review 2021-04-10 | Welcome to season 2 of In Machines We Trust!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 founderLauren 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.
Podcast: In Machines We Trust - Attention Shoppers: You’re Being Tracked MIT Technology Review 2021-04-10 | Cameras in stores aren’t anything new—but these days there are AI brains behind the electric eyes. In some stores, sophisticated systems are tracking customers in almost every imaginable way, from recognizing their faces to gauging their age, their mood, and virtually gussying them up with makeup. The systems rarely ask for people’s permission, and for the most part they don’t have to. In our season 1 finale, we look at the explosion of AI and face recognition technologies in retail spaces, and what it means for the future of shopping.We meet:RetailNext CTO Arun NairL'Oreal's Technology Incubator Global VP Guive BaloochModiface CEO Parham AarabiBiometrics pioneer and Chairman of ID4Africa Joseph AtickCredits: 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.
Podcast: In Machines We Trust - Timnit Gebru Tells Her Story MIT Technology Review 2021-04-10 | Two weeks after her forced exit, the AI ethics researcher reflects on her time at Google, how to increase corporate accountability, and the state of the AI field.We meet:Dr. Timnit GebruFind more reporting:technologyreview.com/2020/12/16/1014634/google-ai-ethics-lead-timnit-gebru-tells-storytechnologyreview.com/2020/12/04/1013294/google-ai-ethics-research-paper-forced-out-timnit-gebruGoogle's email to employees:twitter.com/JeffDean/status/1334953632719011840Gebru's email to the listserv Google Brain Women and Allies:https://www.platformer.news/p/the-withering-email-that-got-an-ethicalThe petition from Google Walkout:googlewalkout.medium.com/standing-with-dr-timnit-gebru-isupporttimnit-believeblackwomen-6dadc300d382Credits: This episode was reported by Karen Hao, edited by Jennifer Strong, Niall Firth, Gideon Lichfield and Michael Reilly, and produced with help from Anthony Green, Emma Cillekens and Benji Rosen.
Podcast: In Machines We Trust - Your Face Could Be Your Ticket MIT Technology Review 2021-04-09 | Face mapping and other tracking systems are changing the sports experience in the stands and on the court. In part-three of this latest series on facial recognition, Jennifer Strong and the team at MIT Technology Review jump on the court to unpack just how much things are changing.We meet:Donnie Scott, senior vice president of public security, IDEMIAMichael D'Auria, vice president of business development, Second SpectrumJason Gay, sports columnist, The Wall Street JournalRachel Goodger, director of business development, FancamRich Wang, director of analytics and fan engagement, Minnesota VikingsCredits: 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.
Podcast: In Machines We Trust - No Face... No Service MIT Technology Review 2021-04-09 | Facial recognition technology is being deployed in housing projects, homeless shelters, schools, even across entire cities—usually without much fanfare or discussion. To some, this represents a critical technology for helping vulnerable communities gain access to social services. For others, it’s a flagrant invasion of privacy and human dignity. In this episode, we speak to the advocates, technologists, and dissidents dealing with the messy consequences that come when a technology that can identify you almost anywhere (even if you’re wearing a mask) is deployed without any clear playbook for regulating or managing it.We meet:Eric Williams, senior staff attorney at Detroit Justice CenterFabian Rogers, community advocate at Surveillance Technology Oversight ProjectHelen Knight, founder of Tech for Social GoodRay Bolling, president and co-founder of Eyemetric Identity SystemsMary Sunden, executive director of the Christ Church Community Development CorporationCredits: This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley, Emma Cillekens, and Karen Hao. We’re edited by Michael Reilly and Gideon Lichfield.
Podcast: In Machines We Trust - When the Camera Turns on Police MIT Technology Review 2021-04-09 | 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.
