Podcast appearances and mentions of Meredith Broussard

Meredith Broussard and Sasha Sidorkin sit down with Cara and Derek to talk about what artificial intelligence can be, how it works, what it's for, and what it all means.For Meredith's books on the subject, click here and here.For Sasha's latest books, click here and here (and for an AI-generated podcast about the most recent book — WHAT ARE CARA AND I EVEN DOING ANYMORE — click here).To recommend future guests and topics, please use this form!

Today, Michael and Josh interview Professor Meredith Broussard to discuss Artificial Intelligence (AI), its role in cancer diagnosis, her journey with breast cancer and her inspiration for her latest book, More than a Glitch. Meredith is a data journalist at the Arthur L Carter Journalism Institute of New York University and has had an exceptionally versatile career, previously having worked as a software developer for MIT Media Lab and a former features editor at the Philadelphia Inquirer.She is also the author of numerous other books, including Confronting Race, Gender, and Ability Bias in Tech and Artificial Unintelligence. She is the research director at the NYU Alliance for Public Interest Technology.For further information on Meredith, please see the link below:Professor Meredith BroussardFor more episodes, resources and blog posts, visit www.inquisitiveonc.comPlease find us on Twitter @InquisitiveOnc!If you want us to look at a specific trial or subject, email us at inquisitiveonc@gmail.comOncology for the Inquisitive Mind is recorded with the support of education grants from Pfizer, Gilead Pharmaceuticals and Merck Pharmaceuticals. Our partners have no editorial rights or early previews, and they have access to the episode at the same time you do.Art courtesy of Taryn SilverMusic courtesy of AlisiaBeats: https://pixabay.com/users/alisiabeats-39461785/Disclaimer: This podcast is for educational purposes only. If you are unwell, seek medical advice. Hosted on Acast. See acast.com/privacy for more information.

When is a cancer scare, a rejected mortgage loan, a false arrest, or predictive grading, more than a glitch in A.I.? That's today's big question, and my guest is Meredith Broussard. Meredith is a data journalist and associate professor at the Arthur L. Carter Journalism Institute of New York University, Research Director at the NYU Alliance for Public Interest Technology and the author of several books I loved, including More Than a Glitch: Confronting Race, Gender and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on A.I. in investigative reporting and ethical A.I., with a particular interest in using data analysis for social good. She's a former features editor at the Philadelphia Inquirer. She's also worked as a software developer at AT&T Bell Labs and at the MIT Media Lab. Meredith's features and essays have appeared in The Atlantic, The New York Times, Slate, and other outlets. If you have ever turned on a computer or used the internet in some way to apply for something, or literally anything, this one is for you.-----------Have feedback or questions? Tweet us, or send a message to questions@importantnotimportant.comNew here? Get started with our fan favorite episodes at podcast.importantnotimportant.com.-----------INI Book Club:Chain Gang All Stars by Nana Kwame Adjei-BrenyahFind all of our guest recommendations at the INI Book Club: https://bookshop.org/lists/important-not-important-book-clubLinks:Read Meredith's books: More Than A Glitch and Artificial UnintelligenceCheck out Meredith's website and follow her on social mediaGet up to speed on A.I. ethics by reading: Weapons of Math Destruction, Algorithms of Oppression, Automating Inequality, Race After Technology, Black SoftwareFollow algorithm and bias influencers Avriel Epps and Joel BervellCheck out the Blueprint for an...

In the summer of 2021, hundreds of Black TikTokers went on strike and demanded proper credit and compensation for dances they made famous. Why? Because, the most famous TikTokers of the pandemic, white teens Charli D'Amelio and Addison Rae, had become extremely famous off of Black choreographers Jalaiah Harmon, Keara Wilson, and others' work -- a continuation of age-old appropriation and theft. Jamie talks with Savage dance creator Keara Wilson, commentator Amanda Bennett, and algorithmic scientist Meredith Broussard to take a closer look at the impact of this moment, and how social media is designed to amplify racism. Follow Keara Wilson here: https://www.tiktok.com/@keke.janajah?lang=en Follow Amanda Bennett here: https://defineandempower.com/our-team Buy Meredith's book here: https://meredithbroussard.com/books/See omnystudio.com/listener for privacy information.

Today's book is: More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2024), by Meredith Broussard. When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery? What if they're coded into the system itself?  Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Our guest is: Meredith Broussard, who is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell. Welcome to Academic Life, the podcast for your academic journey—and beyond! Join us again to learn from more experts inside and outside the academy, and around the world. You can help support the show by downloading, sharing, posting about, or assigning any of our 200+ episodes. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Today's book is: More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2024), by Meredith Broussard. When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery? What if they're coded into the system itself?  Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Our guest is: Meredith Broussard, who is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell. Welcome to Academic Life, the podcast for your academic journey—and beyond! Join us again to learn from more experts inside and outside the academy, and around the world. You can help support the show by downloading, sharing, posting about, or assigning any of our 200+ episodes. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/gender-studies

Today's book is: More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2024), by Meredith Broussard. When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery? What if they're coded into the system itself?  Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Our guest is: Meredith Broussard, who is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell. Welcome to Academic Life, the podcast for your academic journey—and beyond! Join us again to learn from more experts inside and outside the academy, and around the world. You can help support the show by downloading, sharing, posting about, or assigning any of our 200+ episodes. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/sociology

Today's book is: More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2024), by Meredith Broussard. When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery? What if they're coded into the system itself?  Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Our guest is: Meredith Broussard, who is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell. Welcome to Academic Life, the podcast for your academic journey—and beyond! Join us again to learn from more experts inside and outside the academy, and around the world. You can help support the show by downloading, sharing, posting about, or assigning any of our 200+ episodes. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/academic-life

Today's book is: More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2024), by Meredith Broussard. When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery? What if they're coded into the system itself?  Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Our guest is: Meredith Broussard, who is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell. Welcome to Academic Life, the podcast for your academic journey—and beyond! Join us again to learn from more experts inside and outside the academy, and around the world. You can help support the show by downloading, sharing, posting about, or assigning any of our 200+ episodes. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/politics-and-polemics

Today's book is: More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2024), by Meredith Broussard. When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery? What if they're coded into the system itself?  Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Our guest is: Meredith Broussard, who is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell. Welcome to Academic Life, the podcast for your academic journey—and beyond! Join us again to learn from more experts inside and outside the academy, and around the world. You can help support the show by downloading, sharing, posting about, or assigning any of our 200+ episodes. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Today's book is: More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2024), by Meredith Broussard. When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery? What if they're coded into the system itself?  Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Our guest is: Meredith Broussard, who is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell. Welcome to Academic Life, the podcast for your academic journey—and beyond! Join us again to learn from more experts inside and outside the academy, and around the world. You can help support the show by downloading, sharing, posting about, or assigning any of our 200+ episodes. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Today's book is: More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2024), by Meredith Broussard. When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery? What if they're coded into the system itself?  Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Our guest is: Meredith Broussard, who is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell. Welcome to Academic Life, the podcast for your academic journey—and beyond! Join us again to learn from more experts inside and outside the academy, and around the world. You can help support the show by downloading, sharing, posting about, or assigning any of our 200+ episodes. Learn more about your ad choices. Visit megaphone.fm/adchoices

Sixteen months feels like sixteen centuries in the history of digital technology. Last year, the NYU data scientist Meredith Broussard came on episode 1360 to explain how technology is reinforcing inequality and what we can do about it. Today, seventeen hundred episodes later, Broussard explained to me when she came back on KEEN ON, both nothing and everything has changed. AI is dramatically disrupting the world, she notes, and yet it also continues to spread stupidity and compound inequality. Plus ça change, plus c'est la même chose.Data journalist Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech” and “Artificial Unintelligence: How Computers Misunderstand the World.”Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

How much faith should we be putting in artificial intelligence? As large language models and generative AI have become increasingly powerful in recent years, their makers are pushing the narrative that AI is a solution to many of the world's problems.But Meredith Broussard says we're not there yet, if we even get there at all. Broussard is the author of More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech. She coined the term “technochauvinism,” which speaks to a pro-technology bias humans often have, where we believe technological solutions are superior to anything else. In this episode, she tells New Scientist's Sophie Bushwick that our trust in AI systems could have devastating consequences.From discriminatory mortgage-approval algorithms, to the racial biases of facial recognition technology, to the misinformation that appears in chatbots like ChatGPT, Broussard explains why there's no such thing as trustworthy AI. And she discusses the need for greater education about AI, to help us separate reality from marketing.To read about subjects like this and much more, visit newscientist.com. Hosted on Acast. See acast.com/privacy for more information.

As consumers, we’ve all been subjected to the “upsell,” or pressure to pay a little more for a product that’s slightly better. It’s one thing if you’re buying, say, a car or a piece of clothing. The ethical questions get a lot more complicated in health care. Some providers have started integrating artificial intelligence in diagnostic procedures, including screenings for breast cancer. The tools may be available for an additional cost, and questions about their accuracy have been raised. Marketplace’s Lily Jamali spoke with Meredith Broussard, a journalism professor at New York University, about integrating AI into mammograms and her personal experience grappling with the tech.

As consumers, we’ve all been subjected to the “upsell,” or pressure to pay a little more for a product that’s slightly better. It’s one thing if you’re buying, say, a car or a piece of clothing. The ethical questions get a lot more complicated in health care. Some providers have started integrating artificial intelligence in diagnostic procedures, including screenings for breast cancer. The tools may be available for an additional cost, and questions about their accuracy have been raised. Marketplace’s Lily Jamali spoke with Meredith Broussard, a journalism professor at New York University, about integrating AI into mammograms and her personal experience grappling with the tech.

BRUCE FEILER is one of America's most thoughtful voices on contemporary life. He is the author of seven New York Times bestsellers, including LIFE IS IN THE TRANSITIONS,  THE SECRETS OF HAPPY FAMILIES, and COUNCIL OF DADS. His three TED Talks have been viewed more than four million times, and he teaches the TED Course HOW TO MASTER LIFE TRANSITIONS. His latest book, THE SEARCH: Finding Meaningful Work in a Post-Career World (May 2023), is a bold new roadmap for finding meaning and purpose at work.A longtime columnist at the New York Times, Bruce now writes the popular newsletter THE NONLINEAR LIFE. He has appeared in numerous publications, including The New Yorker, The Wall Street Journal, Harvard Business Review, and Gourmet, where he won three James Beard Awards. A former circus clown, he has been the subject of a Jay Leno joke and a JEOPARDY! question, and his face appears on a postage stamp in the Grenadines.Listen and learn...Bruce's search for meaning in the face of setbacks and challengesHow to reconcile our complicated relationship with work and our personal search for meaningBruce's "three lies and a truth about work"How to identify what brings you meaningThe four historical changes in the nature of workWhy it's important to "ignore the lessons of your parents"The one thing we know about AI and the future of workReferences in this episode...Bill Davidow on AI and the Future of WorkDr. Meredith Broussard on AI and the Future of WorkLinda Rottenberg on AI and the Future of WorkHow soon before LLMs replace human comedians?

Guest Host: Kevin Wiley, PhD, Medical University of South Carolina  Guest: Prof. Meredith Broussard, Associate Professor at the Arthur L. Carter Journalism Insititute of New York University and Research Director at the NYU Alliance for Public Interest Technology. Her work has been featured in the New Yorker, the New York Times, the Atlantic, BBC, Wired, the Economist, and more. She appears in the Emmy-nominated documentary "Coded Bias" on Netflix and serves on the advisory board for the Center for Critical Race & Digital Studies. In this eye-opening episode, we dive deep into the world of Artificial Intelligence and its pervasive impact on the field of medicine and healthcare. While AI holds incredible promise to revolutionize healthcare and benefit patients, regardless of background, it is not all roses and sunshine. Join us as we explore the crucial and often overlooked issue of AI bias in medicine and healthcare.  

Meredith Broussard is a data journalist working in the field of algorithmic accountability. She writes about the ways in which race, gender and ability bias seep into the technology we use every day. The post Bias in Tech with Meredith Broussard appeared first on The Prindle Institute for Ethics.

Meredith Broussard is a data journalist working in the field of algorithmic accountability. She writes about the ways in which race, gender and ability bias seep into the technology we use every day. The post Bias in Tech with Meredith Broussard appeared first on Prindle Institute.

AI is here to accelerate the world's creativity. In fact, it's one of the things generative AI does best. Imagine a world where personalized campaigns help products you love find you. Today's guest did just that and he created Evolv AI to help brands connect with customers across all digital channels. Tyler Foster is the CTO of Evolv AI, a platform that helps brands improve conversion and experiment faster. He started the company with CEO Michael Scharff in 2019 and together they've grown it into an early leader in AI-first digital experimentation having helped brands like Safelite, DirectTV, and Verizon. Prior to Evolv AI, Tyler was the founding CEO and Chief Architect of Senient Systems and an early Software Engineer at Cloudera.Listen and learn...How a farmhand and SCUBA diver became an AI developerHow AI is helping brands target consumersThe tradeoff between personalization and data collectionHow to eliminate bias in automated decisionsWill AI eliminate creative jobs?How society needs to adapt to new definitions of work imposed by AIWhy we need to disconnect ideas from tools and processesWhat does it mean that we're entering a "post-truth" era?Why AI is more fair than humansReferences in this episode...Meredith Broussard on AI and the Future of WorkDiane Keng from Breinify on AI and the Future of WorkAre AI-generated ads more or less effective?Evolv.ai

Jala is joined by Dave Cox (Monster Dear Monster) and Marcus (Rain's Animations) to discuss how the internet has both given us another identity, and also affected our sense of self. Mentioned during the episode: * Jala-chan's Place Ep 5: Performance & Identity (https://www.jalachan.com/5) * How the Internet Happened: From Netscape to the iPhone by Brian McCullough (https://www.amazon.com/How-Internet-Happened-Netscape-iPhone-ebook/dp/B07BLJ1QYZ) * How Sex Changed the Internet and the Internet Changed Sex: An Unexpected History by Samantha Cole (https://www.amazon.com/How-Sex-Changed-Internet-Unexpected-ebook/dp/B09TGQFXZM) * The Internet of Us: Knowing More and Understanding Less in the Age of Big Data by Michael P. Lynch (https://www.amazon.com/Internet-Us-Knowing-More-Understanding-ebook/dp/B010C3Q3ZU) * Artificial Unintelligence: How Computers Misunderstand the World by Meredith Broussard (https://www.amazon.com/Artificial-Unintelligence-Computers-Misunderstand-World-ebook/dp/B08BT23822) * LeVar Burton Reads "The Regression Test" by Wole Talabi (https://www.podchaser.com/podcasts/levar-burton-reads-528916/episodes/the-regression-test-by-wole-ta-85607158) Note: I say in the episode that the author is a lady. I was wrong! The author is male. * Ray Bradbury's short story There Will Come Soft Rains (https://www.btboces.org/Downloads/7_There%20Will%20Come%20Soft%20Rains%20by%20Ray%20Bradbury.pdf) The sci-fi author Marcus mentioned who wrote a female character whose breasts reacted to her mood was Robert Heinlein. The below is from his book, Number of the Beast. https://media.discordapp.net/attachments/979886962259402782/1162370525365018764/image0.jpg?ex=653bb0e9&is=65293be9&hm=8afe4f68eee20d31da8dd1701d589c7803de9bc85dd2e885726e66a8974d9283&=&width=1408&height=942 A particularly scathing review of the book which Marcus recommends can be found here (https://ansible.uk/writing/numbeast.html). Support this show via Ko-fi! Just like Patreon, there are subscription tiers (with bonus content!) in addition to the ability to drop us a one-time donation. Every little bit helps us put out better quality content and keep the lights on, and gets a shout out in a future episode. Check out ko-fi.com/fireheartmedia (https://ko-fi.com/fireheartmedia) for the details! Don't forget to rate & review us on your podcasting platform of choice~ Jala Prendes - Bluesky - @jalachan (https://bsky.app/profile/jalachan.bsky.social), Bluesky - @fireheartmedia (https://bsky.app/profile/fireheartmedia.bsky.social) Twitter (https://twitter.com/jalachan) The Level (https://thelevelpodcast.com/hosts/jala) Dave Cox - Bluesky (https://bsky.app/profile/senplus.bsky.social) Twitter @Sentionaut_Plus (https://twitter.com/Sentionaut_Plus), Twitter @mon_dmonster (https://twitter.com/mon_dmonster) Monster Dear Monster (https://monsterdear.monster) Marcus - Bluesky (https://bsky.app/profile/marcusrasaan.bsky.social) Twitter (http://twitter.com/marcus_rasaan) Instagram (http://instagram.com/marcus_rasaan) Patreon (https://www.patreon.com/RandomRain) Animation GoFundMe (https://www.gofundme.com/f/help-marcus-reignite-the-dream-of-animation) Special Guests: Dave Cox and Marcus.

Episode SummaryMeredith Broussard is a computer scientist AND journalist. She has found a way to combine the two by using data to inform her writing (data journalist). She is on a mission to demystify technology and AI in particular. AI (artificial intelligence) isn't extraordinary, she says, "it's just math."  She believes that Chat GPT is fun and innovative and like other technologies have some flaws to be worked out. Meredith Broussard BioData journalist Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech” and “Artificial Unintelligence: How Computers Misunderstand the World.” Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. She appeared in the 2020 documentary Coded Bias, an official selection of the Sundance Film Festival that was nominated for an Emmy Award and an NAACP Image Award.LinkedIn: https://www.linkedin.com/in/meredithbroussard/Website: https://meredithbroussard.com/Books: More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech                Artificial Unintelligence: How Computers Misunderstand the Worldhttps://meredithbroussard.com/books/ Support the showYou can find out more information about Dr. Toshia here:https://www.drtoshia.coSTEMming in Stilettos Youtube Channel: https://youtu.be/xAc25J7UH9A

In this episode we talk to Meredith Broussard,  data journalism professor at the Arthur L. Carter Institute at New York University. She's also the author of Artificial Unintelligence, which made waves following its release in 2018 by claiming that AI was nothing more than really fancy math. We talk about why we need to bring a little bit more friction back into technology and her latest book More Than a Glitch, which argues that AI that's not designed to be accessible is bad for everyone, in the same way that raised curbs between the pavement and the street that you have to go down to cross the road makes urban outings difficult for lots of people, not just wheelchair users.

Meredith Broussard, Associate Professor at the Arthur L. Carter Journalism Institute of New York University & Author of “Artificial Unintelligence How Computers Misunderstand the World” and “More than a Glitch Confronting Race, Gender, and Ability Bias in Tech,” joins Lisa Dent to share the risks of artificial intelligence and the warning signs we might have […]

In this episode we discuss a free guide that sets your GSA/SOGI group up to explore and consider the role of AI Literacy. This episode starts off with a definition of a crucial concept: "technochauvanism" as defined by Meredith Broussard. If you want to engage your students with AI Literacy, give this episode a listen and explore the resources discussed.

In the final episode of our limited series on AI, we look at the big issues of accountability and responsibility. How should we allocate the responsibilities for managing this technology? Who will decide when AIs are doing more harm than good? Will we be looking to private companies or depending on public servants? And what will be left for individual citizens to decide? To help unlock solutions to the growing challenge of AI responsibility, host Raffi Krikorian speaks with Maria Ressa, Nobel Prize-winning journalist and co-founder of Rappler; scientist and inventor Rosalind Picard from MIT's Media Lab; James Manyika, Senior Vice President of Research, Technology, and Society at Google; Kyunghyun Cho, Professor of Computer Science and Data Science at New York University; Stanford Internet Observatory Research Manager Renee DiResta; and Professor and data journalist Meredith Broussard. Together, they discuss different approaches to AI responsibility, and look at what the future could hold for ethical accountability. To learn more about Technically Optimistic and to read the transcript for this episode: emersoncollective.com/technically-optimistic-podcast For more on Emerson Collective: emersoncollective.com Learn more about our host, Raffi Krikorian: emersoncollective.com/persons/raffi-krikorian Technically Optimistic is produced by Emerson Collective with music by Mattie Safer. Email us with questions and feedback at technicallyoptimistic@emersoncollective.com. Subscribe to Emerson Collective's newsletter: emersoncollective.com To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

The myth is that technology is unbiased, but says the truth is more complex and explains how bias and discrimination creep into the algorithms that shape the modern world. Broussard is a data journalist and an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech” and “Artificial Unintelligence: How Computers Misunderstand the World.” Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, withttps://mitpress.mit.edu/9780262047654/h a particular interest in using data analysis for social good. She appeared in the 2020 documentary Coded Bias, an official selection of the Sundance Film Festival that was nominated for an Emmy Award and an NAACP Image Award.  She is an affiliate faculty member at the Moore Sloan Data Science Environment at the NYU Center for Data Science, a 2019 Reynolds Journalism Institute Fellow, and her work has been supported by New America, the Institute of Museum & Library Services, and the Tow Center at Columbia Journalism School. A former features editor at the Philadelphia Inquirer, she has also worked as a software developer at AT&T Bell Labs and the MIT Media Lab. Her features and essays have appeared in The Atlantic, The New York Times, Slate, and other outlets.See omnystudio.com/listener for privacy information.

Ron Bodkin is a self-described “serial entrepreneur focused on beneficial uses of AI”. Ron founded ChainML in April 2022 to make it easier to integrate AI models into applications. The AI we know today is immature in so many ways and many of them relate to how crude the tooling is for traditional developers building AI-first features. The ChainML protocol is a cost-efficient, decentralized network built for compute-intensive applications running on blockchain technology. Prior to founding ChainML Ron had a distinguished entrepreneurial career having founded Think Big Analytics before it was eventually acquired by Teradata after which he spent three years in applied AI at Google. Ron is also an active investor and advisor and has degrees in Computer Science from McGill and MIT.Listen and learn...What led Ron to focus on how AI can have a positive impact on the worldWhy Hinton's right when he says "we've invented a superior form of learning"Where the current toolstack for building LLM apps is incredibly immatureHow to control the cost and performance of LLM appsWhy human brains are inefficientWhy the "effective cost of computing" is being reduced by 50% every yearHow we may get to AGI within 20 yearsWhy proprietary datasets and commercial issues will slow down AI innovationThe right way to regulate AIReferences in this episode...Meredith Broussard, professor and author, on AI and the Future of WorkAttorney relies on court cases made up by ChatGPTThe Microsoft Sparks of AGI paper

Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University and the research director at the NYU Alliance for Public Interest Technology. She is the author of More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2023).

Meredith is an associate professor at New York University and research director at the NYU Alliance for Public Interest Technology. Her research interests include using data analysis for good and ethical AI. She is also the author of the book “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech” and we will discuss more about this with her in this podcast. Time stamps of the conversation 00:42 Introduction 01:17 Background 02:17 Meaning of “it is not a glitch” in the book title 04:40 How are biases coded into AI systems? 08:45 AI is not the solution to every problem 09:55 Algorithm Auditing 11:57 Why do organizations don't use algorithmic auditing more often? 15:12 Techno-chauvinism and drawing boundaries 23:18 Bias issues with ChatGPT and Auditing the model 27:55 Using AI for Public Good - AI on context 31:52 Advice to young researchers in AI Meredith's homepage: https://meredithbroussard.com/ And her Book: https://mitpress.mit.edu/9780262047654/more-than-a-glitch/ About the Host: Jay is a Ph.D. student at Arizona State University. Linkedin: https://www.linkedin.com/in/shahjay22/ Twitter: https://twitter.com/jaygshah22 Homepage: https://www.public.asu.edu/~jgshah1/ for any queries. Stay tuned for upcoming webinars! ***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***

Historically, Silicon Valley has managed to perform a delicate dance with regulation. However, the explosive growth of artificial intelligence has brought forth an urgent question: given what we know about privacy, social media, data security, and so much else, should we regulate this technology this time around? In Part 1 of this two-part episode of Technically Optimistic, we delve into questions of power and what it would take to create guardrails for AI to ensure a prosperous and safe society. What is the balance of society, technology, and the law? What are the rules of the road, and who gets to write them? To address these questions, host Raffi Krikorian talks to Tristan Harris, founder of the Center for Humane Technology; human rights activist Sam Gregory, founder of Witness; Suresh Venkatasubramanian, professor of computer science; and Meredith Broussard, author and data scientist. Together, they explore the big, thorny questions of responsibility, privacy, creativity, and risk. To learn more about Technically Optimistic and to read the transcript for this episode: emersoncollective.com/technically-optimistic-podcast For more on Emerson Collective: emersoncollective.com Learn more about our host, Raffi Krikorian: emersoncollective.com/persons/raffi-krikorian Technically Optimistic is produced by Emerson Collective with music by Mattie Safer. Email us with questions and feedback at technicallyoptimistic@emersoncollective.com. Subscribe to Emerson Collective's newsletter: emersoncollective.com To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Today we're joined by Meredith Broussard. Meredith is a data journalist whose research and reporting centers on ethical AI and data analysis for the social good. She's an associate professor at the Arthur L. Carter Journalism Institute of New York University and research director at the NYU Alliance for Public Interest Technology. And she's an author, including writing Artificial Unintelligence: How Computers Misunderstand the World and the recently released More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech.We invited Meredith on to specifically talk about the intersection of the recent rapid growth of consumer-focused generative AI, such as ChatGPT, Midjourney, DALL-E, etc. as well as their integrations into commonly used education tools like Microsoft Office and soon, Google Documents. And I know that many educators are already worried about the implications of AI in classrooms…but it's going to be quite jarring when Google Docs has a built-in AI text prompt. In our view, we'll need to find ways to talk about AI and technology more broadly with students, guiding them in the use of these platforms and problematizing them — as opposed to just banning them outright.GuestsDr. Meredith Broussard, associate professor at the Arthur L. Carter Journalism Institute of New York University and research director at the NYU Alliance for Public Interest Technology, and author of Artificial Unintelligence: How Computers Misunderstand the World and the recently released More Than a Glitch: Confronting Race, Gender, and Ability Bias in TechResourcesMeredith Broussard's websiteMore than a Glitch: Confronting Race, Gender, and Ability Bias in Tech by Dr. Meredith Broussard (MIT Press, 2023)AI Stereotypes and Critical Reflections: Who's Being Generated? - YouTube Guide/Lesson by Human Restoration Project Hosted on Acast. See acast.com/privacy for more information.

The word "glitch" implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery--what if they're coded into the system itself? In the vein of heavy hitters such as Safiya Umoja Noble, Cathy O'Neil, and Ruha Benjamin, Meredith Broussard demonstrates in More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2023) how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as "other" to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/african-american-studies

The word "glitch" implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery--what if they're coded into the system itself? In the vein of heavy hitters such as Safiya Umoja Noble, Cathy O'Neil, and Ruha Benjamin, Meredith Broussard demonstrates in More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2023) how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as "other" to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

The word "glitch" implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery--what if they're coded into the system itself? In the vein of heavy hitters such as Safiya Umoja Noble, Cathy O'Neil, and Ruha Benjamin, Meredith Broussard demonstrates in More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2023) how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as "other" to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/gender-studies

In this episode of our podcast, we are joined by Meredith Broussard, an associate professor at the Arthur L. Carter Journalism Institute of New York University and the research director at the NYU Alliance for Public Interest Technology. During our conversation, we discuss the importance of diversity and inclusion in the tech industry and how AI can be leveraged to improve belonging, inclusivity, and diversity in the workplace. We also delve into the ethical concerns that arise when developing and deploying AI systems in various sectors, such as healthcare or finance. Meredith shares her insights on how we can ensure that AI technologies are developed in a way that doesn't perpetuate or exacerbate existing biases and inequalities.Meredith's extensive experience as a former features editor at the Philadelphia Inquirer and a software developer at AT&T Bell Labs and the MIT Media Lab, as well as her research in AI ethics and data analysis for social good, provide a unique perspective on the intersection between AI and bias.This episode is a must-listen for C-Suite Leaders (and aspiring ones!) who seek to leverage technology to improve their performance outcomes while promoting diversity, inclusion, and belonging in the workplace. Follow Meredith on Twitter @merbroussard or visit her website, meredithbroussard.com, to learn more about her work.THE FINER DETAILS OF THIS SHOWHow can you tell if AI algorithms are making decisions that are unfair and unjust? [07:22]You talk about how AI is not neutral, what does that mean? [08:19]What considerations should you reflect on before buying data? [11:06]Can you give an example of what can happen when data is not being used responsibly? [15:28]How might an AI based system perpetuate bias in a hiring process? [19:29]Are there other misconceptions or areas of bias that just kind of show up in different kinds of companies, of manufacturing, supply chain, all of those areas? Have you seen instances of that in the book? [25:38]KEEP UP WITH MEREDITH BROUSSARDCheck out her bookKeep up with her on LinkedinEPISODE RESOURCESJoin the Remarkable Leadership Lessons Community NowVisit the Remarkable Leadership Lessons SiteGot questions? Send them hereInterested in being a guest? Schedule an introduction call!Subscribe on Apple Podcasts, Spotify, or Google Podcasts, and leave us a rating or reviewMEREDITH BROUSSARDMeredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University and the research director at the NYU Alliance for Public Interest Technology. She is the author of an upcoming book, More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT...

Tomaš Dvořák - "Game Boy Tune" [0:00:00] - "Mark's intro" - "Interview with Meredith Broussard" [0:04:42] - "Mark's comments" [0:38:54] Felix Kubin - "Download Yourself" [0:52:19] https://www.wfmu.org/playlists/shows/126778

Paris Marx is joined by Emily M. Bender to discuss what it means to say that ChatGPT is a “stochastic parrot,” why Elon Musk is calling to pause AI development, and how the tech industry uses language to trick us into buying its narratives about technology. Emily M. Bender is a professor in the Department of Linguistics at the University of Washington and the Faculty Director of the Computational Linguistics Master's Program. She's also the director of the Computational Linguistics Laboratory. Follow Emily on Twitter at @emilymbender or on Mastodon at @emilymbender@dair-community.social. Tech Won't Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Follow the podcast (@techwontsaveus) and host Paris Marx (@parismarx) on Twitter, and support the show on Patreon. The podcast is produced by Eric Wickham and part of the Harbinger Media Network.  Also mentioned in this episode:Emily was one of the co-authors on the “On the Dangers of Stochastic Parrots” paper and co-wrote the “Octopus Paper” with Alexander Koller. She was also recently profiled in New York Magazine and has written about why policymakers shouldn't fall for the AI hype.The Future of Life Institute put out the “Pause Giant AI Experiments” letter and the authors of the “Stochastic Parrots” paper responded through DAIR Institute.Zachary Loeb has written about Joseph Weizenbaum and the ELIZA chatbot.Leslie Kay Jones has researched how Black women use and experience social media.As generative AI is rolled out, many tech companies are firing their AI ethics teams.Emily points to Algorithmic Justice League and AI Incident Database.Deborah Raji wrote about data and systemic racism for MIT Tech Review.Books mentioned: Weapons of Math Destruction by Cathy O'Neil, Algorithms of Oppression by Safiya Noble, The Age of Surveillance Capitalism by Shoshana Zuboff, Race After Technology by Ruha Benjamin, Ghost Work by Mary L Gray & Siddharth Suri, Artificial Unintelligence by Meredith Broussard, Design Justice by Sasha Costanza-Chock, Data Conscience: Algorithmic S1ege on our Hum4n1ty by Brandeis Marshall.Support the show

There’s a lot of excitement about how artificial intelligence is transforming health care, from diagnosing diseases to creating personalized treatment plans. But just because AI can do something, doesn’t always mean it can do it better than a human, according to Meredith Broussard, a journalism professor at New York University and author of the book “More Than a Glitch,” released last month. Yesterday we featured part one of our discussion with Broussard, about how AI can magnify social harms. Today we continue that conversation, this time about what it means to entrust machines with our health. Marketplace’s Meghan McCarty Carino speaks with Broussard about how trust in machines is part of a broader tendency she calls technochauvinism.

There’s a lot of excitement about how artificial intelligence is transforming health care, from diagnosing diseases to creating personalized treatment plans. But just because AI can do something, doesn’t always mean it can do it better than a human, according to Meredith Broussard, a journalism professor at New York University and author of the book “More Than a Glitch,” released last month. Yesterday we featured part one of our discussion with Broussard, about how AI can magnify social harms. Today we continue that conversation, this time about what it means to entrust machines with our health. Marketplace’s Meghan McCarty Carino speaks with Broussard about how trust in machines is part of a broader tendency she calls technochauvinism.

Artificial intelligence is practically all anyone in the tech world can talk about these days, as many of the biggest names in the industry compete for dominance with ever more powerful AI. But recently, some experts called for a timeout in development efforts to evaluate the harms these tools could cause. Meredith Broussard, a journalism professor at New York University, says you don’t have to look far to identify some of those harms. Marketplace’s Meghan McCarty Carino spoke to Broussard about her latest book, “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech,” which was released last month.

Artificial intelligence is practically all anyone in the tech world can talk about these days, as many of the biggest names in the industry compete for dominance with ever more powerful AI. But recently, some experts called for a timeout in development efforts to evaluate the harms these tools could cause. Meredith Broussard, a journalism professor at New York University, says you don’t have to look far to identify some of those harms. Marketplace’s Meghan McCarty Carino spoke to Broussard about her latest book, “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech,” which was released last month.

Guests: Meredith Broussard, NYU Associate Professor and data journalist [@nyuniversity]On Linkedin | https://www.linkedin.com/in/meredithbroussard/On Twitter | https://twitter.com/merbroussard?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5EauthorOn Facebook | https://www.facebook.com/meredithkbroussardSean Martin, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining CyberSecurity Podcast [@RedefiningCyber]On ITSPmagazine | https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/sean-martinHost: Marco Ciappelli, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining Society PodcastOn ITSPmagazine | https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/marco-ciappelli_____________________________This Episode's SponsorsBlackCloak

Bias exists all around us, and unfortunately it is present in the technologies we use today.Today we are joined by Professor Meredith Broussard, a data journalism professor at NYU, and research director at the NYU Alliance for Public Interest Technology. She is the author of a new book More Than A Glitch: Confronting Race, gender, and Ability Bias in Tech.We discuss the root cause of systemic biases in tech and why the current paradigm of establishing and optimizing metrics leads to misaligned incentives in both technology companies and journalism.Along the way Meredith explains techno-chauvanism, its prevalence and why computer science students are taught to think this way. We also discuss how Mid-Journey maps from text to image, the purpose of science fiction, and how algorithmic audits can help mitigate bias for technology companies.As a reminder, the views stated in this episode are not affiliated with any organization and only represent the views of the individuals. We hope you enjoy the show.

In this episode, we discuss Meredith Broussard's influential new book, More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech – published by MIT Press.   Meredith is a data journalist, an associate professor at the Arthur L. Carter Journalism Institute of New York University, a research director at the NYU Alliance for Public Interest Technology, and the author of several books, including “More Than a Glitch” (which we cover in this episode) and “Artificial Unintelligence: How Computers Misunderstand the World.” Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good.     Full show notes for this episode, including the link to buy Meredith's new book, can be found at Radicalai.org.

Implicit bias is a problem for humans, and humans are programming it into computer algorithms. Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University and research director at the NYU Alliance for Public Interest Technology. She joins host Krys Boyd to discuss why net neutrality is a myth, the racism and ableism built into systems, and why A.I. needs more diverse human role models. Her book is “More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech.”

We're back with the second half of our special two-part episode about algorithms and artificial intelligence, featuring returning guest Meredith Broussard. Yesterday, we got the T on ChatGPT, and learned why we can't trust algorithms to be fair or objective. Today, Jonathan and Meredith get personal about their encounters with algorithms, and consider what an equitable tech industry could look like. Plus, deepfakes, TikTok, the Supreme Court, and Jonathan's take on M3GAN! Meredith Broussard is Associate Professor at the Arthur L. Carter Journalism Institute of New York University and Research Director at the NYU Alliance for Public Interest Technology. She is the author of Artificial Unintelligence: How Computers Misunderstand the World (MIT Press). Her work has been featured in the New Yorker, the New York Times, the Atlantic, BBC, Wired, the Economist, and more. She appears in the 2020 documentary Coded Bias and serves on the advisory board for the Center for Critical Race & Digital Studies.  Make sure to check out Meredith's new book More Than A Glitch, out now from MIT Press. You can follow Meredith on Instagram and Twitter @merbroussard, and at meredithbroussard.com. MIT Press is on Instagram and Twitter @mitpress. Curious for more? Here's a list of people, projects, and other resources mentioned in this episode: Algorithmic Justice League (Joy Buolamwini)Algorithms of Oppression (Safiya Noble)Blueprint for an AI Bill of RightsDAIR Institute (Timnit Gebru)Deb Raji's workDesign Justice (Sasha Costanza-Chock)Melissa Murray's workMimi Onuoha's workRace After Technology + Viral Justice (Ruha Benjamin)Rumman Chowdhury's workTake My Hand (Dolen Perkins-Valdez)The Gender Shades ProjectThe Markup (Julia Angwin)Under the Skin (Linda Villarosa)Weapons of Math Destruction + ORCAA (Cathy O'Neil) Follow us on Instagram and Twitter @CuriousWithJVN to join the conversation. Jonathan is on Instagram and Twitter @JVN and @Jonathan.Vanness on Facebook. Transcripts for each episode are available at JonathanVanNess.com. Our executive producer is Erica Getto. Our editor is Andrew Carson. Our theme music is “Freak” by QUIÑ; for more, head to TheQuinCat.com.

Every time you interact with a targeted advertisement, use a drop-down menu, or scroll through TikTok, you're engaging with an algorithm. And these algorithms are anything but objective. This week, Meredith Broussard returns to the show for a special two-part episode about algorithms and artificial intelligence—and how they shape our daily lives. In part one, we're learning all about chatbots like ChatGPT, the origins of algorithmic bias, and WTF Francis Galton has to do with all of this. Join us tomorrow for part two, featuring an in-depth discussion about gender and racial bias in algorithms, the current state of the tech industry, and the future of AI. Meredith Broussard is Associate Professor at the Arthur L. Carter Journalism Institute of New York University and Research Director at the NYU Alliance for Public Interest Technology. She is the author of Artificial Unintelligence: How Computers Misunderstand the World (MIT Press). Her work has been featured in the New Yorker, the New York Times, the Atlantic, BBC, Wired, the Economist, and more. She appears in the 2020 documentary Coded Bias and serves on the advisory board for the Center for Critical Race & Digital Studies. Make sure to check out Meredith's new book More Than A Glitch, out now from MIT Press. You can follow Meredith on Instagram and Twitter @merbroussard, and at meredithbroussard.com. MIT Press is on Instagram and Twitter @mitpress. Curious for more? Here's a list of people, projects, and other resources mentioned in this episode: Algorithmic Justice League (Joy Buolamwini)Algorithms of Oppression (Safiya Noble)Blueprint for an AI Bill of RightsDAIR Institute (Timnit Gebru)Deb Raji's workDesign Justice (Sasha Costanza-Chock)Mimi Onuoha's workRace After Technology + Viral Justice (Ruha Benjamin)Rumman Chowdhury's workTake My Hand (Dolen Perkins-Valdez)The Gender Shades ProjectThe Markup (Julia Angwin)Under the Skin (Linda Villarosa)Weapons of Math Destruction + ORCAA (Cathy O'Neil) Follow us on Instagram and Twitter @CuriousWithJVN to join the conversation. Jonathan is on Instagram and Twitter @JVN and @Jonathan.Vanness on Facebook. Transcripts for each episode are available at JonathanVanNess.com. Our executive producer is Erica Getto. Our editor is Andrew Carson. Our theme music is “Freak” by QUIÑ; for more, head to TheQuinCat.com.

In this episode of the Tech Policy Leaders podcast, Meredith Broussard discusses her new book ‘More Than a Glitch,' which takes a critical look at algorithms and the people who create them.   Bio Website LinkedIn @MerBroussard   Data journalist Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including “Artificial Unintelligence: How Computers Misunderstand the World” and “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech.” Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. She appeared in the 2020 documentary Coded Bias, an official selection of the Sundance Film Festival that was nominated for an Emmy Award and an NAACP Image Award. Resources (2022) More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech. Available at: https://bookshop.org/p/books/more-than-a-glitch-confronting-race-gender-and-ability-bias-in-tech-meredith-broussard/18634652?ean=9780262047654 (Accessed: February 27, 2023).