Podcasts about artificial unintelligence

In dieser Folge steht das Thema »Künstliche Unitelligenz« im Mittelpunkt – ein Begriff, der aus einem Artikel aus dem Spectator stammt: Britain has become a pioneer in Artificial Unintelligence. Was genau verbirgt sich hinter dieser Idee? »Artificial Unintelligence is the means by which people of perfectly adequate natural intelligence are transformed by policies, procedures and protocols into animate but inflexible cogs. They speak and behave, but do not think or decide.« Wie werden aus Menschen mit natürlicher Intelligenz bloß unflexible Rädchen? Wir reflektieren die zunehmende Strukturierung und Standardisierung in Organisationen, um mit wachsender gesellschaftlicher Komplexität umgehen zu können. Ein Ausgangspunkt der Episode ist die Frage, warum wir in immer mehr Organisationen eine strukturelle und individuelle Inkompetenz erleben? Ein Zitat aus dem genannten Artikel fasst es treffend zusammen:  »‘I didn't find anything in common in these cases,' I said, ‘except the stupidity of your staff. I expected him to get angry, but he maintained a Buddha-like calm. ‘Oh, I know,' he replied, ‘but that is the standard expected now.'« Wie konnte es so weit kommen? Liegt es an der Industrialisierung, die laut Dan Davies in The Unaccountability Machine besagt:  »A very important consequence of industrialisation is that it breaks the connection between the worker and the product.« Oder hat es damit zu tun, wie wir mit Überwältungung durch Information umgehen. »When people are overwhelmed by information, they always react in the same way – by building systems.« Sind Menschen, die individuell denken, in solchen Systemen eher hinderlich als hilfreich? Doch was passiert, wenn komplexe Probleme auftreten, die Flexibilität und Kreativität erfordern? Sind unsere Organisationen überhaupt noch in der Lage, mit unerwarteten Situationen umzugehen, oder arbeiten sie nur noch »maschinenhaft« nach Vorgaben – und das mit einem Maschinenverständnis des 19. Jahrhunderts? Ist die Stagnation, die wir seit Jahrzehnten spüren, ein Symptom dieses Systemversagens? Und wie hängt das mit der sogenannten »Unaccountability Machine« zusammen, die Davies beschreibt und die man im Deutschen vielleicht als »Verantwortungslosigkeits-Maschine« bezeichnen könnte? Kann es sogar sein, dass manche Strukturen bewusst als »self-organising control fraud« gestaltet sind? Ein weiteres damit verbundenes Thema ist: Wie beeinflussen moderne Prognose-Tools wie Recommender Systems unser Verhalten? Dienen sie wirklich dazu, bessere Entscheidungen zu ermöglichen, oder machen sie uns hauptsächlich vorhersagbarer? »Menschen, die dies und jedes gekauft/gesehen haben, haben auch dies gekauft/gesehen« – ist das noch Prognose oder schon Formung des Geschmacks? Und was ist mit wissenschaftlichen Modellen komplexer Systeme, die oft relativ beliebige Ergebnisse liefern? Formen sie nicht auch die Meinung von Wissenschaftlern, Politikern und der Gesellschaft – etwa durch die überall beobachtbare schlichte Medienberichterstattung?  Bleibt außerdem der Mensch wirklich »in the loop«, wie oft behauptet wird, oder ist er längst ein »artificial unintelligent man in the loop«, der Empfehlungen des Systems kaum hinterfragen kann? Die Episode wirft auch einen kritischen Blick auf naive Ideologien wie das »Scientific World Management« von Alfred Korzybski, der schrieb:  „it will give a scientific foundation to Political Economy and transform so-called ‘scientific shop management' into genuine ‘scientific world management.'“  War dieser Wunsch nach dem Ersten Weltkrieg verständlich, aber letztlich völlig missgeleitet? Und warum erleben wir heute eine Wiederkehr des naiven Szientismus, der glaubt, »die Wissenschaft« liefere objektive Antworten? Wie hängen solche Ideen mit Phänomenen wie »Science Diplomacy« zusammen? Die zentrale Frage der Episode lautet: Wie erreicht man, dass Menschen in Verantwortung korrekt im Sinne des definierten Zwecks der Organisation entscheiden? Doch was ist überhaupt der Zweck eines Systems? Stafford Beer sagt:  »The purpose of a system is what it does.« Stimmt der definierte Zweck – etwa Gesundheit im Gesundheitssystem – noch mit der Realität überein? Warum entscheiden Ärzte oft defensiv im eigenen Interesse statt im Interesse der Patienten? Und wie überträgt sich dieses Verhalten auf andere Organisationen – von Ministerien bis hin zur Wissenschaft? Davies beschreibt das ab Beispiel des akademischen Publikationswesens so:  „A not-wholly-unfair analysis of academic publishing would be that it is an industry in which academics compete against one another for the privilege of providing free labour for a profitmaking company, which then sells the results back to them at monopoly prices.“  Und weiter:  „The truly valuable output of the academic publishing industry is not journals, but citations.“  Was ist aus der Idee geworden, dass die Generierung von neuem und relevantem Wissen die Aufgabe von Wissenschaft, Förderung und Publikationswesen ist? Zum Abschluss stelle ich die Frage: Wie können Systeme so gestaltet werden, dass Verantwortung wieder übernommen wird? Wie balanciert man die Zuordnung von Konsequenzen mit der Möglichkeit, ehrlich zu scheitern – ohne Innovation zu ersticken? Und was sind »Luxury Beliefs« – jene modischen Ideen elitärer Kreise, die sie selbst nicht tragen müssen, während sie für andere zur existenziellen Bedrohung werden?  Die Episode endet so mit einem Aufruf zur Diskussion: Wie lösen wir diesen Spagat zwischen Verantwortung und Risiko in einer immer komplexeren Welt? Referenzen Andere Episoden Episode 119: Spy vs Spy: Über künstlicher Intelligenz und anderen Agenten Episode 118: Science and Decision Making under Uncertainty, A Conversation with Prof. John Ioannidis Episode 117: Der humpelnde Staat, ein Gespräch mit Prof. Christoph Kletzer Episode 116: Science and Politics, A Conversation with Prof. Jessica Weinkle Episode 106: Wissenschaft als Ersatzreligion? Ein Gespräch mit  Manfred Glauninger Episode 103: Schwarze Schwäne in Extremistan; die Welt des Nassim Taleb, ein Gespräch mit Ralph Zlabinger Episode 93: Covid. Die unerklärliche Stille nach dem Sturm. Ein Gespräch mit Jan David Zimmermann Episode 91: Die Heidi-Klum-Universität, ein Gespräch mit Prof. Ehrmann und Prof. Sommer Episode 84: (Epistemische) Krisen? Ein Gespräch mit Jan David Zimmermann Fachliche Referenzen Britain has become a pioneer in Artificial Unintelligence | The Spectator (2025) Davies, Dan. The Unaccountability Machine: Why Big Systems Make Terrible Decisions - and How The World Lost its Mind, Profile Books (2024) Alfred Korzybski, Manhood of Humanity (1921) Jessica Weinkle, What is Science Diplomacy (2025) Nassim Taleb, Skin in the Game, Penguin (2018) Rob Henderson, 'Luxury beliefs' are latest status symbol for rich Americans, New York Post (2019) Lorraine Daston, Rules, Princeton Univ. Press (2023)  

Perry Carpenter is the author of the new book FAIK: A Practical Guide to Living in a World of Deepfakes, Disinformation, and AI-Generated Deceptions. For this episode, we are discussing what it means to live in a world where artificial intelligence is altering our reality more and more, how we can navigate a deeply uncertain digital future, and what it all has to do with human nature and the nature of folklore. Check out Perry book FAIK here Find The FAIK Files podcast on Apple and Spotify Find the Digital Folklore Podcast here Find Perry Carpenter on LinkedIn, Twitter, and 8th Layer Media Check out Perry's new op-ed with The Hill about our post-truth era Get tickets to our live show called A Massive Seance with You're Wrong About Become a Patron to support our show and get early ad-free episodes and bonus content Or subscribe to American Hysteria on Apple Podcasts Find us on Instagram @americanhysteriapodcast Leave us a message on our Urban Legends Hotline or get your mitts on some merch at americanhysteria.com Producer and Editor: Miranda Zickler Associate Producer: Riley Swedelius-Smith Hosted by Chelsey Weber-Smith Learn more about your ad choices. Visit megaphone.fm/adchoices

Why do we assume that computers always get it right? Today's book is: Artificial Unintelligence: How Computers Misunderstand the World (MIT Press, 2019), in which Professor Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone. Our guest is: Professor Meredith Broussard, who 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, and of More Than A Glitch. Her work has been featured in the New Yorker, the New York Times, the Atlantic, the Economist, and more. She appears in the 2020 documentary Coded Bias and serves on the advisory board for the Center for 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 why) and what happens to those we never tell. For listeners who want to learn more: More Than A Glitch Welcome to Academic Life, the podcast for your academic journey—and beyond! You can support the show by posting, assigning or sharing episodes. Join us again to learn from more experts inside and outside the academy, and around the world. Missed any of the 200+ Academic Life episodes? You'll find them all archived here. 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

Why do we assume that computers always get it right? Today's book is: Artificial Unintelligence: How Computers Misunderstand the World (MIT Press, 2019), in which Professor Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone. Our guest is: Professor Meredith Broussard, who 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, and of More Than A Glitch. Her work has been featured in the New Yorker, the New York Times, the Atlantic, the Economist, and more. She appears in the 2020 documentary Coded Bias and serves on the advisory board for the Center for 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 why) and what happens to those we never tell. For listeners who want to learn more: More Than A Glitch Welcome to Academic Life, the podcast for your academic journey—and beyond! You can support the show by posting, assigning or sharing episodes. Join us again to learn from more experts inside and outside the academy, and around the world. Missed any of the 200+ Academic Life episodes? You'll find them all archived here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/academic-life

Why do we assume that computers always get it right? Today's book is: Artificial Unintelligence: How Computers Misunderstand the World (MIT Press, 2019), in which Professor Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone. Our guest is: Professor Meredith Broussard, who 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, and of More Than A Glitch. Her work has been featured in the New Yorker, the New York Times, the Atlantic, the Economist, and more. She appears in the 2020 documentary Coded Bias and serves on the advisory board for the Center for 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 why) and what happens to those we never tell. For listeners who want to learn more: More Than A Glitch Welcome to Academic Life, the podcast for your academic journey—and beyond! You can support the show by posting, assigning or sharing episodes. Join us again to learn from more experts inside and outside the academy, and around the world. Missed any of the 200+ Academic Life episodes? You'll find them all archived here. 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

Why do we assume that computers always get it right? Today's book is: Artificial Unintelligence: How Computers Misunderstand the World (MIT Press, 2019), in which Professor Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone. Our guest is: Professor Meredith Broussard, who 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, and of More Than A Glitch. Her work has been featured in the New Yorker, the New York Times, the Atlantic, the Economist, and more. She appears in the 2020 documentary Coded Bias and serves on the advisory board for the Center for 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 why) and what happens to those we never tell. For listeners who want to learn more: More Than A Glitch Welcome to Academic Life, the podcast for your academic journey—and beyond! You can support the show by posting, assigning or sharing episodes. Join us again to learn from more experts inside and outside the academy, and around the world. Missed any of the 200+ Academic Life episodes? You'll find them all archived here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

The Embassy Exclusive staff ruminate on the ethics of AI, talk about soundtracks that precede their games, and share tales of slow burner favorites. The post Embassy Exclusive 58: Artificial Unintelligence appeared first on THE VGMBASSY.

Welcome to the season premier of BB on Blast - luckily, we keep it to one part. Same BB, different logo(s)! We meet AINSLE (in need of an I or Y or why) - Julie's biggest threat since #MeToo and 16 new wacky and diverse Houseguests like jocks and cocktail waitresses. Advantages, disadvantages, uploads, downloads, here we go again so might as well plug into the mainframe and get on with it!Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

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.

On this week's episode we question why Taylor Swift was voted a better guitar player than Brad Paisley and others, we discuss, begrudgingly, the effect that artificial intelligence is already having on the entertainment industry. We answer some listener mail, which leads to one of our first reaction episodes. Oh and we are back to recording video promos starting this week. I'm not sure if we should say you're welcome or not. We climb the Wall of Tunes for an album that was not held in very high esteem by fans of one of our favorite bands. #ai #defleppardhttps://www.facebook.com/obrienanddoug/ https://instagram.com/obrien_and_doug

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

Are Heroes of Humility (HoH)s really going to use their powers of delusional analysis to discover truths about intelligence? Should the word intelligence be in the same sentence with the ones who call themselves Heroes of Humility? Real pals & humans Beige, Red, 11C, & Pierce tackle these questions & more with intense intensity. With abilities surpassed only by their pretend humility, HoHs continue their quest to find laughs in socially challenging & awkward predicaments.  Maybe they can teach humanity how to laugh at itself. Let's start by laughing at them first in this one. Enjoy & follow on your podcast app for updates and/or on Facebook/Instagram/YouTube. Yes, a time will come when the HoHs video record their podcasts. Hang in there HoHs fo the sho.

Josh has a few thoughts on co-op, AI, and building robust communities. What do these things have in common? Well, you'll just have to listen, won't you? Jump in our Discord and let him know how much you enjoyed the episode! Click Here to visit our LinkTree: https://linktr.ee/thebacklogbreakdown The Backlog Breakdown is a proud member of the Play Well Network, a network of podcasts that seek to approach recreation in a more thoughtful manner. Until there is a rabbit trail to follow. Check out all of the other amazing Play Well podcasts Here. Get PWNed, scrubs.

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.

Ron intensely dislikes Artificial Intelligence.... Guest: Amy Moorehouse claims this is an opportunity to create jobs

Is technology moving us forward or backward? What is the human cost of progress? And is artificial intelligence making people more divided, or can it help us find common ground? Comedian, commentator, and author Baratunde Thurston joins us to talk about how technology and humanity are sometimes at odds and sometimes companions. What Could Go Right? is produced by The Progress Network and The Podglomerate.

Are yall afraid of the robots? Don't be! They ain't sh*t. 

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

Artificial Unintelligence. While Tom is preparing for the robot uprising, Neil is looking forward to humans potentially interfacing with artificial intelligence for the good of mankind. Also E.J. can't hold it in much longer!

Welcome to the Weekly Sceptic - episode 25! Toby and Nick discuss the ruination of Roald Dahl and Rudyard Kipling's writings – much to the fury of Nick, Rishi Sunak and Salman Rushdie! Nicola Sturgeon has gone – but Toby and Nick wonder whether she might be replaced by someone even worse? Nick and Toby then reflect that people who subscribe to orthodox beliefs seem to suffer compared to those with other beliefs. Toby then unexpectedly lends his support to the leadership aspirations of the truly awful Humza Yousaf…  Nick talks about the woke and chilling AI chatbots and then attempts to describe what ‘prompt injection attack' is. Toby talks about AI gold rushes, recounts Google's recent embarrassing moment and subsequent loss of market cap and the boys finish off the segment on the nature of sentience.  Nick and Toby then discuss South Park's hilarious lampooning of Harry and Meghan (spoiler: Meghan takes offence, obviously).  Birdwatch makes a return and the boys discuss the 'Konstantin Kisin vs Matt Walsh' spat on Twitter regarding the long awaited backlash to woke…  This week's first sponsor is The Jasmine Sari by Philip Tucker, available on Amazon: https://www.amazon.co.uk/gp/product/B07TVFGV8S Dr Will Jones joins Nick to discuss the week's most interesting stories as featured in the Daily Sceptic.  This week's second sponsor is Thor Holt and you can find him here: https://thorholt.substack.com/  https://www.thorholt.com/ or https://www.linkedin.com/in/thorholt/ or on his Telegram channel at @thor_holt (visit https://belle-epoque.co.uk/ for Thor's meet up). Nick and Toby compete once more for the title of Peak Woke.  If you are interested in attending a live recording of the Weekly Sceptic podcast in London – please email us to let us know at thedailysceptic@gmail.com.  Please send in your problems for Dr Peterson to answer next week to: thedailysceptic@gmail.com (and let us know if you'd like us to use your name).  To advertise on one of the fastest growing podcasts in the world, drop Toby a line at thedailysceptic@gmail.com.  Please go to https://dailysceptic.org/ and make a donation so we can continue to bring you all this high quality content.  Subscribe to Nick's substack: https://nickdixon.substack.com/ Or Toby's substack: https://tobyyoung.substack.com/ And Nick's New Podcast: https://currentthingpod.podbean.com/ Produced by Jason Clift.  Music by Tinderella. 

Acomi and Turk182 take on the topic of Artificial Intelligence (AI) generated art. AI art isn't work created out of a program or prompts, but from a specific request, using other artist's work as the main component. Compositing the art work and styles, provided by the requestor, into a "new" piece of art. This "new" AI generated art retains the some of the unique artistic stylings of the chosen artists; sometimes even carrying over the signature from the original piece. While some say it's unique and original, many others claim it's a new form of plagiarism. Creating the so-called art doesn't take any artistic talent or understanding of shapes and composition. All you need is the AI, a request, and a handful of varying art work. People that create these piece call themselves artists. But, even if it wasn't seen as stealing someone else's work, who is the actual artist? The AI, or the person? Acomi and Turk rage at this talentless and morally void form of "art", and the losers that call themselves artists because of it. #OMTWF #Acomi #Turk182 #KorovaEntertainment #AI #AIArt Follow Acomi on Twitter at @AcomiDraws and on Instagram at AcomiDraws. Follow Turk182 on Twitter at @Turk182_KE and on Instagram at Turk182_KE.

Data journalist Meredith Broussard talks about her book, Artificial Unintelligence: How Computers Misunderstand the World, with Peoples & Things host Lee Vinsel. The book how artificial intelligence systems do and don't work and why people have come to have such unrealistic understandings of the technologies' capabilities. One central factor is what Broussard calls technochauvinism, “the belief that technology is always the solution.” Broussard also discusses her early career as a computer scientist, why she became her journalist, and her hopes for a more humane technological 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

Data journalist Meredith Broussard talks about her book, Artificial Unintelligence: How Computers Misunderstand the World, with Peoples & Things host Lee Vinsel. The book how artificial intelligence systems do and don't work and why people have come to have such unrealistic understandings of the technologies' capabilities. One central factor is what Broussard calls technochauvinism, “the belief that technology is always the solution.” Broussard also discusses her early career as a computer scientist, why she became her journalist, and her hopes for a more humane technological future. 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

Data journalist Meredith Broussard talks about her book, Artificial Unintelligence: How Computers Misunderstand the World, with Peoples & Things host Lee Vinsel. The book how artificial intelligence systems do and don't work and why people have come to have such unrealistic understandings of the technologies' capabilities. One central factor is what Broussard calls technochauvinism, “the belief that technology is always the solution.” Broussard also discusses her early career as a computer scientist, why she became her journalist, and her hopes for a more humane technological future. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

This week, Nick and Carol decide whether not play tennis or golf, Carol gets assaulted at the airport, Nick sleeps in late and they both get some paella in.

AI (Artificial Intelligence) is definitely one of the most used buzzwords in recent years. And Google is definitely a major contributor in that field. But when it comes to using Google Maps and being a Local Guide, some of the things we see pop up or get proposed by the algorithms don't seem to be intelligent at all. In this episode we will cover some specific examples of what I would rather call Artificial Unintelligence and suggest possible fixes. Let's hope it can help the Google team deliver an even better user experience. Check out the shownotes on https://www.letsguidepodcast.com. To get in touch, just send an email to letsguidepodcast@gmail.com.

In dieser Episode ist wieder Dr. Lukas Lang zu Gast. Wir sprechen über Data Science und Machine Learninig (auch »artificial intelligence« genannt). Das ist ein Themenbereich, der sehr viel Potential für unsere Zukunft hat, aber wie alle diese Themenbereiche auch eine Menge an Gefahren, Herausforderungen und Hypes generiert. Lukas ist ein perfekter Gesprächspartner für dieses Thema, weil er sowohl in der Spitzenforschung tätig war als auch in der industriellen Praxis mit diesen Themen beschäftigt ist. Diese Mischung scheint mir bei komplexen technischen Fragestellungen und Problemen sehr nützlich zu sein. Lukas hat nach seinem Studium der Informatik eine Promotion im Spezialgebiet Computational Science gemacht. Anschließend war er mehrere Jahre in der universitären Forschung im Bereich der mathematischen Bild- und Datenanalyse tätig, zuletzt an der Universität Cambridge. Seine Arbeit hat Anwendungen in der medizinischen Bildgebung, in der Molekular- und Zellbiologie, und in der Computer Vision. Derzeit leitet er den Geschäftsbereich »Data Science and AI« eines Spin-Offs des internationalen Industriekonzerns Voestalpine. Sein Team arbeitet an der Umsetzung von Daten-Projekten in der Erzeugung und Verarbeitung von Spezialmetallen, und am Aufbau eines globalen Data Science Programms für die Produktionsstandorte. Wir haben dieses umfangreiche Thema in zwei Episoden aufgeteilt: In der ersten Episode beginnen wir das Thema Data Science einzuführen, auch anhand einiger Beispiele, beginnend mit historischen Beispielen sowie Anwendungsfällen der heutigen Zeit. Wir spannen dabei den Bogen von Tycho Brahe und Florence Nightingale bis zu modernen Sprachassistenten und Entscheidungsunterstützung im Militär und zivilen Bereich. Dann gibt Lukas einen Überblick über wesentliche Prinzipien und Begriffe, die in diesem Zusammenhang immer wieder auftreten, wie Datascience, die Rolle der klassischen Statistik, Modellierung, Visualisierung, EDA, AI, KI, machine learning, multivariate statistik, Datenqualität und vieles mehr.  Wir sprechen dann über die These die seit einiger Zeit im Raum steht, dass man dank Daten und »AI« ja keine Modelle, keine Theorie mehr benötigt — The End of Theory —, sondern einfach aus Daten lernt und das wäre hinreichend für die wissenschaftliche Betrachtung der Welt. Wir diskutieren dann Möglichkeiten, Geschäftsmodelle und Grenzen von Machine Learning und Data Science. Wer trifft heute überhaupt Entscheidungen und was ist die Rolle und Funktion eines Data Scientists? Sollten Menschen immer das letzt Wort bei wesentlichen Entscheidungen haben? Ist das überhaupt (noch) realistisch? Welche Rolle spielen regulatorische Maßnahmen wie das aktuelle EU-Framework? In der zweiten Episode werden wir darauf aufbauend die Frage stellen, wie viel der aktuellen Behauptungen in diesem Feld Realität und wie viel Hype ist. Was können wir in der Zukunft zu erwarten — sowohl im positiven wie auch im negativen? Was sind dominierende Forschungsfragen und wo Grenzen liegen, unerwartete Effekte auftreten, und welche ethischen Fragen durch diese neuen Möglichkeiten zu diskutieren. xkcd Cartoon Konkret gibt es das Spannungsfeld zwischen Datensparsamkeit und der Idee alles zu sammeln, weil wir das irgendwie in der Zukunft für uns nutzen können. Aber will der Data Scientists überhaupt in Daten untergehen? Führen mehr Daten zu besseren Entscheidungen? Wir diskutieren wieder anhand konkreter Beispiele für gute und problematische Anwendungen wie predictiver Policing, Mapping und »KI« für militärische Dronenpiloten. Welche individuelle Verantwortung leiten wir daraus für Techniker ab? Wie geht Lukas selbst mit diesen Herausforderungen um?  Referenzen Lukas Lang Persönliche Webseite von Lukas Andere Episoden Episode 40: Software Nachhaltigkeit, ein Gespräch mit Philipp Reisinger Episode 37: Probleme und Lösungen Episode 32: Überleben in der Datenflut – oder: warum das Buch wichtiger ist als je zuvor Episode 31: Software in der modernen Gesellschaft – Gespräch mit Tom Konrad Episode 25:Entscheiden unter Unsicherheit Episode 19: Offene Systeme – Teil 1 und Episode 20, Teil 2 Episode 6: Messen, was messbar ist? Fachliche Referenzen Adhikari, DeNero, Jordan, Interleaving Computational and Inferential Thinking: Data Science for Undergraduates at Berkeley Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans (2020) Michael I. Jordan, The revolution hasn't happened yet Hannah Fry, What data can't do Peter Coy, Goodhart's Law Rules the Modern World. Here Are Nine Examples  Roberts et al., Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans  Antun et al., On instabilities of deep learning in image reconstruction and the potential costs of AI Use of AI in breast cancer detection: 94% of AI systems evaluated in these studies were less accurate than a single radiologist, and all were less accurate than consensus of two or more radiologists Lukas Lang, What is Data Science? Seth Stephens-Davidowitz, Everybody Lies Evgeny Morozov, To Save Everything, Click here (2014) Meredith Broussard, Artificial Unintelligence (2018) Cathy O‘Neill, Weapons of Maths destruction (2017) Richard David Precht, Künstliche Intelligenz und der Sinn des Lebens (2020) Jerry Z Muller, The Tyrrany of Metrics (2018) Joseph Weizenbaum, Computermacht und Gesellschaft (2001) Margaret Heffernan, Uncharted: How to Map the Future (2021) Edward Snowden, Permanent Record (2019) Shoshanna Zuboff, Surveillance Capitalism (2019) Hartmut Rosa, Unverfügbarkeit (2020) Duncan J Watts, Everything is obvious, once you know the answer (2011) Gerd Gigerenzer, Klick: Wie wir in einer digitalen Welt die Kontrolle behalten und die richtigen Entscheidungen treffen - Vom Autor des Bestsellers »Bauchentscheidungen« (2021) Byung-Chul Han, Im Schwarm, Ansichten des Digitalen (2015) Marinanne Bellotti, A.I. is solving the wrong problem Hannah Fry, Hello World: How to be Human in the Age of Algorithms (2018) Hannah Fry, What Statistics Can and Can't Tell Us About Ourselves, The New Yorker (2019) David Spiegelhalter, The Art of Statistics: Learning from Statistics (2020) James, Witten, Hastie & Tibshirani. Introduction to Statistical Learning (2021) The end of theory: The data deluge makes the scientific method obsolete. Wired 6/2008 Rutherford and Fry on Living with AI: The Biggest Event in Human History Deep Mind, The Podcast David Donoho, 50 Years of Data Science, Journal of Computational and Graphical Statistics (2017) Stuart Russel and Peter Norving, Artificial Intelligence, A Modern Approach, Berkely Textbook (2021) Michael Roberts et al, Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans, Nature Machine Intelligence (2021) Neil Thompson, Deep Learning's Diminishing Returns, The Cost of Improvement Is Becoming Unsustainable, IEEE Spectrum (2021)

Meredith Broussard notes in her book, "Artificial Unintelligence," that "AI" is a bit of a misnomer. True artificial intelligence means computers have finally achieved consciousness. --- Ways you can help support the show Chase Bank – where you can get a $200 bonus by opening an account and doing a direct deposit. Open an account today at https://accounts.chase.com/consumer/raf/online/rafoffers?key=1934238931&src=N. Ashley Furniture – Save money on your furniture with this coupon. https://www.ashleyfurniture.com/?extole_share_channel=SHARE_LINK&extole_shareable_code=viewfromthepugh5&extole_zone_name=friend_landing_experience Donate to the show – Through CashApp at $ChrisPugh3. Enter our featured contests – $250 American Express gift card giveaway (through Feb. 14), $1,000 Target giveaway (through Feb. 27), Win a $500 WalMart gift card (through Feb. 28), Win a $1,000 Best Buy gift card (through March 4) and Win a $1,000 Amazon gift card (through May 22) Sign up for CashApp – Using the code ZFZWZGF. We will both get $5. https://cash.app/app/ZFZWZGF Get your next project done for $5 through Fiverr – https://fiverraffiliates.com/affiliatev2/#:~:text=https%3A//fvrr.co/3K9Ugiq Follow our podcast hosts on Twitter – Chris Pugh, Craig Shoup, Paul Yanchek, Joe Frost and also follow co-hosts George Thomas and Bob Garver. Read Chris and Craig's professional work – Read Chris Pugh's work for the Columbus Dispatch and Cincinnati Enquirer and Craig's work at Clarksville Leaf-Chronicle Share us with your friends --- Send in a voice message: https://anchor.fm/theohioan/message

Night School #428: "Artificial Unintelligence Thinks I'm Selling Weapons" by Every Night's A School Night

In this episode, Weigand discusses the furthest extent A.I. has reached in the technology world and the marketplace. Weigand also shares a really interesting story involving an extremely creative reddit user and a 3D printer.

We see if artificial intelligence can help us write a pipe band blog post, learn about some historic pipe band figures, and talk about how great our podcast is.Support us Patreon to see the video version of this episode: https://www.patreon.com/PodBandPipeCastLike us on Facebook: https://facebook.com/PodBandPipeCastEmail us: PodBandPipeCast@gmail.comProduced/edited by: https://www.youtube.com/channel/UC9F1yloHBDiLiRznrO9BCBQyou

Josh and Kurt talk about AI driven comments. We live in a world of massive confusion and disruption where what is true and false, real and fake, are often widely debated. As AI grows and evolves what does it mean for this future? We don't really have any answers, but we ask a lot of questions. This isn't easy, nor will it be solved quickly, but solving it is not optional. Show Notes AIs and Fake Comments ACLU AMA Cloudflare Cryptographic Attestation of Personhood Evil bit Boris Johnson Painting Buses

Digital technologies reconfigure the rationales, techniques and practices of border security and migration management. We explored these issues with Georgios Glouftsios, a researcher at the University of Trento, whose work is focused on analysing how data infrastructures shape the logics and tactics of mobility control in Europe.Here are some of the books and articles we mentioned:- When Biometrics Fail: Gender, Race, and the Technology of Identity, by Shoshana Amielle Magnet. https://www.barnesandnoble.com/w/when-biometrics-fail-shoshana-amielle-magnet/1111754660- Data derivatives: on the emergence of a security risk calculus for our times, by Louise A. Moore. https://dro.dur.ac.uk/9331/- Artificial Unintelligence, By Meredith Broussard. https://mitpress.mit.edu/books/artificial-unintelligenceIntro Music: Corporate Innovation by WinnieTheMoogLink: https://filmmusic.io/song/6067-corporate-innovationLicense: https://filmmusic.io/standard-license

Note from creator Bryson: My podcast discusses the issue of racial problems facing today's modern technology, whether that be with A.I. , facial recognition software, or any modern technology. Hope you enjoy!

How will Artificial Intelligence define the future of Civil Rights?  To celebrate the NYC theater release of the film Coded Bias we present this Livestreamed conversation featuring Shalini Kantayya (director, Coded Bias), Meredith Broussard (Author, Artificial Unintelligence), and Timnit Gebru (Co-Lead, Ethical Artificial Intelligence Team at Google)  This conversation is moderated by All Tech Is Human's David Ryan Polgar. The organizational partner for the event is TheBridge. The conversation does not stop here! For each of the episodes in our series with All Tech is Human, you can find a detailed “continue the conversation” page on our website radicalai.org. For each episode we will include all of the action items we just debriefed as well as annotated resources that were mentioned by the guest speakers during the livestream, ways to get involved, relevant podcast episodes, books, and other publications. 

When our inevitable robot overlords rise to power, this is the episode that will condemn us. Today we're chatting about artificial intelligence and the many ways developers utilize it. From basic game mechanics you may not have noticed, to the weird townsperson who can't stop walking directly into that wall.

Neo, Duo, Windows 10X Delayed Hosts: Leo Laporte, Mary Jo Foley, and Paul Thurrott For full show notes, visit https://twit.tv/shows/windows-weekly/episodes/668 Sponsor: LastPass.com/twit

Neo, Duo, Windows 10X Delayed Hosts: Leo Laporte, Mary Jo Foley, and Paul Thurrott For full show notes, visit https://twit.tv/shows/windows-weekly/episodes/668 Sponsor: LastPass.com/twit

Neo, Duo, Windows 10X Delayed Hosts: Leo Laporte, Mary Jo Foley, and Paul Thurrott For full show notes, visit https://twit.tv/shows/windows-weekly/episodes/668 Sponsor: LastPass.com/twit

Neo, Duo, Windows 10X Delayed Hosts: Leo Laporte, Mary Jo Foley, and Paul Thurrott For full show notes, visit https://twit.tv/shows/windows-weekly/episodes/668 Sponsor: LastPass.com/twit

In this episode, Graeme ad Jammers discuss Advanced technology, Jammers manifesto and a robot called Sandra!

News Links for the Week: 'Mad Mike' Hughes, 64, homemade-rocket daredevil, killed in mishap: https://www.foxnews.com/science/mad-mike-hughes-64-homemade-rocket-daredevil-killed-in-mishap Arkansas couple arrested after shooting at each other during cookout: https://katv.com/news/local/arkansas-couple-arrested-for-shooting-each-other-during-cookout?fbclid=IwAR2wPp4sGZ-7QG3weZQV40EYHNIM93ApXK3FIo_axbhyod6ilr1QheEhGyw This cryptocurrency profits every time someone dies from Coronavirus: https://decrypt.co/20067/coronacoin-coronavirus-profits-from-victim-deaths Artificial intelligence yields new antibiotic: https://www.sciencedaily.com/releases/2020/02/200220141748.htm?fbclid=IwAR30-hDG071hyQx_O9gr_VecrX8sxtxUnkZEDhVWT7FWhXlP65OCKOpgCHo The Pentagon promises to use artificial intelligence for good, not evil: https://www.militarytimes.com/news/your-military/2020/02/25/the-pentagon-promises-to-use-artificial-intelligence-for-good-not-evil/ Putting potatoes up your butt won’t cure hemorrhoids, doctors warn: https://nypost.com/2020/02/27/putting-potatoes-up-your-butt-wont-cure-hemorrhoids-doctors-warn/?fbclid=IwAR2qvDcm05fnfMf9wgHS4pdO5wCx-4_rNWCHmt_6MeUKTCSHAKVFUthYXvM We would to thank Cajun Curl Original Spice for their support! For some spice that's extra nice that taste spicy but doesn't feel spicy, check them out over at www.cajuncurl.com. Be sure and use coupon code "EOP10" and get ten percent off your order.  Special thanks to Silencyde for providing the music! Check out his music on Soundcloud here:https://soundcloud.com/silencyde or on his YouTube channel here: https://www.youtube.com/user/Silencyde and on Facebook here: https://www.facebook.com/Silencyde/ We want to hear from you! Please email the show earthoddity@planetmail.net You can also follow us on Twitter @_earthoddity and on Instagram at _earthoddity. You can call us at (662) 493-2059! Please don't hesitate to leave us a voicemail, we want to hear your voice!  Also like us on Facebook here: https://www.facebook.com/earthoddity/ and while your there, don't forget to join our group page and take part in all the hilarity that ensues! Have a great week and we love you! God bless you every one!

News Links for the Week:'Mad Mike' Hughes, 64, homemade-rocket daredevil, killed in mishap: https://www.foxnews.com/science/mad-mike-hughes-64-homemade-rocket-daredevil-killed-in-mishapArkansas couple arrested after shooting at each other during cookout: https://katv.com/news/local/arkansas-couple-arrested-for-shooting-each-other-during-cookout?fbclid=IwAR2wPp4sGZ-7QG3weZQV40EYHNIM93ApXK3FIo_axbhyod6ilr1QheEhGywThis cryptocurrency profits every time someone dies from Coronavirus: https://decrypt.co/20067/coronacoin-coronavirus-profits-from-victim-deathsArtificial intelligence yields new antibiotic: https://www.sciencedaily.com/releases/2020/02/200220141748.htm?fbclid=IwAR30-hDG071hyQx_O9gr_VecrX8sxtxUnkZEDhVWT7FWhXlP65OCKOpgCHoThe Pentagon promises to use artificial intelligence for good, not evil: https://www.militarytimes.com/news/your-military/2020/02/25/the-pentagon-promises-to-use-artificial-intelligence-for-good-not-evil/Putting potatoes up your butt won’t cure hemorrhoids, doctors warn: https://nypost.com/2020/02/27/putting-potatoes-up-your-butt-wont-cure-hemorrhoids-doctors-warn/?fbclid=IwAR2qvDcm05fnfMf9wgHS4pdO5wCx-4_rNWCHmt_6MeUKTCSHAKVFUthYXvMWe would to thank Cajun Curl Original Spice for their support! For some spice that's extra nice that taste spicy but doesn't feel spicy, check them out over at www.cajuncurl.com. Be sure and use coupon code "EOP10" and get ten percent off your order. Special thanks to Silencyde for providing the music! Check out his music on Soundcloud here:https://soundcloud.com/silencyde or on his YouTube channel here: https://www.youtube.com/user/Silencyde and on Facebook here: https://www.facebook.com/Silencyde/We want to hear from you! Please email the show earthoddity@planetmail.net You can also follow us on Twitter @_earthoddity and on Instagram at _earthoddity. You can call us at (662) 493-2059! Please don't hesitate to leave us a voicemail, we want to hear your voice!  Also like us on Facebook here: https://www.facebook.com/earthoddity/ and while your there, don't forget to join our group page and take part in all the hilarity that ensues! Have a great week and we love you! God bless you every one!

Cody Hennesy gave a thumbs up to Artificial Unintelligence: How Computers Misunderstand the World by Meredith Broussard in the latest installment of Read This Book from the University of Minnesota Libraries. In the book, Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. The post ‘Artificial Unintelligence’ reviewed on Read This Book! appeared first on continuum | University of Minnesota Libraries.

Cody Hennesy gave a thumbs up to Artificial Unintelligence: How Computers Misunderstand the World by Meredith Broussard in the latest installment of Read This Book from the University of Minnesota Libraries. In the book, Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems.

Cody Hennesy gave a thumbs up to Artificial Unintelligence: How Computers Misunderstand the World by Meredith Broussard in the latest installment of Read This Book from the University of Minnesota Libraries. In the book, Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems.

For the fourth season premiere we have very special guest Meredith Broussard talking about her book, "Artificial Unintelligence", and the biases that infect the technologies we use.

Mirror World - Kevin Kelly Music and the Brain - Charles Limb VocaliD - Rupal Patel Artificial Unintelligence - Meredith Broussard

Software developer and data journalist Meredith Broussard joins Megan Morrone to discuss her book Artificial Unintelligence: How Computers Misunderstand the World, which makes the case against the idea that technology can solve all our problems, touching on self-driving cars, the digital divide, the difference between AI and machine learning, and more. Host: Megan Morrone Guest: Meredith Broussard Download or subscribe to this show at https://twit.tv/shows/triangulation.

Software developer and data journalist Meredith Broussard joins Megan Morrone to discuss her book Artificial Unintelligence: How Computers Misunderstand the World, which makes the case against the idea that technology can solve all our problems, touching on self-driving cars, the digital divide, the difference between AI and machine learning, and more. Host: Megan Morrone Guest: Meredith Broussard Download or subscribe to this show at https://twit.tv/shows/triangulation.

Software developer and data journalist Meredith Broussard joins Megan Morrone to discuss her book Artificial Unintelligence: How Computers Misunderstand the World, which makes the case against the idea that technology can solve all our problems, touching on self-driving cars, the digital divide, the difference between AI and machine learning, and more. Host: Megan Morrone Guest: Meredith Broussard Download or subscribe to this show at https://twit.tv/shows/triangulation.

Software developer and data journalist Meredith Broussard joins Megan Morrone to discuss her book Artificial Unintelligence: How Computers Misunderstand the World, which makes the case against the idea that technology can solve all our problems, touching on self-driving cars, the digital divide, the difference between AI and machine learning, and more. Host: Megan Morrone Guest: Meredith Broussard Download or subscribe to this show at https://twit.tv/shows/triangulation.

Marc discusses A.I. Nate discusses Native American etymology. Adam misuses the term "anecdote."

The city of Philadelphia burns ft/ Rocky, CTE Micky, Other Rocky, Son of Creed, Artificial Unintelligence, and Vince McMahon.

"We were told for a very long time that tech would be democratizing. And that has not necessarily proven to be true."

The guys bring back Vinnie Andreassi for Pt 4 of their mind blowing series.   @westgard @mrwest304 @topher1118   Like our FB page @survivalguyd