Podcasts about computing machinery

While the Americans with Disabilities Act has long required digital content to be accessible, specific technical requirements were recently defined in updates to Title II of the ADA. In this episode, Mark Greenfield joins us to discuss the new regulations and what that means for public colleges and universities as the April 2026 deadline approaches. Mark retired as the University at Buffalo's Web Accessibility Officer after 35 years of service at the institution. He continues to consult on digital accessibility and serves as a member of the Association for Computing Machinery (or ACM) U.S. Technology Committee, which educates and informs Congress, the Administration and courts about digital technology developments and how they may impact public policy in the US. A transcript of this episode and show notes may be found at http://teaforteaching.com.

In this episode, we chat with Gabrielle (she/her), a Ph.D. candidate from the Department of Human Centered Design and Engineering. Listen in as we talk about writing, technology, and finding confidence in your work. Material and resources discussed:How the Page Matters – Bonnie Mak (University of Toronto Press, 2011; accessible via UW Libraries) Otter.ai – An AI-based transcription and notetaking softwareThe Master and his Emissary: The Divided Brain and the Making of the Western World – Iain McGilchrist (Yale University Press, 2010; accessible in print or ebook via UW Libraries)Association for Computing Machinery – a major professional association focused on computing science and technologyThe Notebooks of Simone Weil – Simone Weil (Routledge, 2004; available via UW Libraries.Tim Ingold – Emeritus Professor of Social Anthropology at the University of AberdeenPhenomenology of Perception – Maurice Merleau-Ponty (Routledge, 2012 [1945]; available via UW Libraries.Writer's Routine podcast – a chat-based podcast in which published authors describe and reflect on their writing routineAudio transcript: Episode 2

I'm thrilled to have Dr. Bushra Anjum, join us for today's episode! She is the head of Data Science and AI/LLM subject matter expert at the EdTech startup NoRedInk. With a passion for innovation in adaptive online curriculum tools, Dr. Anjum leads a talented team dedicated to enhancing students' writing and critical thinking skills.Join us as we dive into her impressive journey and explore her pivotal role as Co-chair of the Association for Computing Machinery's Women in Computing Council (ACM-W). Dr. Anjum will share insights on ACM-W's mission to increase representation and inclusion in STEM, the importance of mentorship for women in tech, and her key priorities in advancing initiatives for women in computing.We'll also discuss practical steps for students and early-career professionals looking to break into the tech industry, and how aspiring members can get involved with ACM-W. Plus, we'll learn about the practices Dr. Anjum has implemented to promote equity in the hiring process for her Data Department.Don't miss this inspiring conversation filled with valuable advice and actionable insights for anyone interested in the tech field!✉️ Connect with Dr. Anjum on LinkedIn: https://www.linkedin.com/in/bushraanjum/

It's a bit surprising to hear a writer known for building worlds that incorporate deep historical research and elaborate technological details extol the virtues of play, but Ken Liu tells critic Rose Casey and host Sarah Wasserman that if “your idea of heaven doesn't include play, then I'm not sure it's a heaven people want to go to.” It turns out that Ken—acclaimed translator and author of the “silkpunk” epic fantasy series Dandelion Dynasty and the award-winning short story collection The Paper Menagerie—is deeply serious about play. Speaking about play as the key to technological progress, Ken and Rose discuss the importance of whimsy and the inextricable relationship between imagination and usefulness. For Ken, whose Dandelion Dynasty makes heroes of engineers instead of wizards or knights, precise machinery and innovative gadgets are born, like novels, of imagination. Ken himself might be best described as a meticulous, dedicated tinkerer—a writer playing with the materials and stories of the past to help us encounter new worlds in the present. So even if trying to explain his craft is “like asking fish how they swim,” Ken jumps in and discusses how he writes at such different lengths (hint: the longer the book, the more elephantine) and what he makes of different genre labels, from fantasy to historical fiction. We also learn why Ken is a fan of Brat Summer and still thinking about the Roman Empire. Mentioned in this episode: Ken Liu, Speaking Bones (2022), The Veiled Throne (2021), The Wall of Storms (2017), The Grace of Kings (2016), The Paper Menagerie and Other Stories (2016) Cixin Liu, The Three-Body Problem (2014) Rose Casey, Jessica Wilkerson, Johanna Winant, “An Open Letter from Faculty at West Virginia University” (2023) Rose Casey, “In Defense of Higher Education” (2024) Ursula K. LeGuin, “The Ones Who Walk Away from Omelas” (1973) Homer, The Odyssey Virgil, The Aeneid John Milton, Paradise Lost A.M. Turing, “Computing Machinery and Intelligence” (1950) Brat Summer 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

It's a bit surprising to hear a writer known for building worlds that incorporate deep historical research and elaborate technological details extol the virtues of play, but Ken Liu tells critic Rose Casey and host Sarah Wasserman that if “your idea of heaven doesn't include play, then I'm not sure it's a heaven people want to go to.” It turns out that Ken—acclaimed translator and author of the “silkpunk” epic fantasy series Dandelion Dynasty and the award-winning short story collection The Paper Menagerie—is deeply serious about play. Speaking about play as the key to technological progress, Ken and Rose discuss the importance of whimsy and the inextricable relationship between imagination and usefulness. For Ken, whose Dandelion Dynasty makes heroes of engineers instead of wizards or knights, precise machinery and innovative gadgets are born, like novels, of imagination. Ken himself might be best described as a meticulous, dedicated tinkerer—a writer playing with the materials and stories of the past to help us encounter new worlds in the present. So even if trying to explain his craft is “like asking fish how they swim,” Ken jumps in and discusses how he writes at such different lengths (hint: the longer the book, the more elephantine) and what he makes of different genre labels, from fantasy to historical fiction. We also learn why Ken is a fan of Brat Summer and still thinking about the Roman Empire. Mentioned in this episode: Ken Liu, Speaking Bones (2022), The Veiled Throne (2021), The Wall of Storms (2017), The Grace of Kings (2016), The Paper Menagerie and Other Stories (2016) Cixin Liu, The Three-Body Problem (2014) Rose Casey, Jessica Wilkerson, Johanna Winant, “An Open Letter from Faculty at West Virginia University” (2023) Rose Casey, “In Defense of Higher Education” (2024) Ursula K. LeGuin, “The Ones Who Walk Away from Omelas” (1973) Homer, The Odyssey Virgil, The Aeneid John Milton, Paradise Lost A.M. Turing, “Computing Machinery and Intelligence” (1950) Brat Summer Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/literary-studies

In this episode of 'The Wisdom Of' Show, host Simon Bowen speaks with Ed Catmull, co-founder of Pixar Animation Studios and former president of Walt Disney Animation Studios and Disneytoon Studios. With five Academy Awards® including an Oscar for Lifetime Achievement and the prestigious Turing Award for his work in computer graphics, Ed shares profound insights on creative leadership, innovation, and building world-class organizations. From pioneering 3D animation to leading the creation of beloved films that have grossed over $14 billion worldwide, Ed's journey offers valuable lessons on fostering creativity, navigating change, and building sustainable success.Ready to unlock your leadership potential and drive real change? Join Simon's exclusive masterclass on The Models Method. Learn how to articulate your unique value and create scalable impact: https://thesimonbowen.com/masterclassEpisode Breakdown00:00 Introduction and Ed's pioneering journey in animation05:18 Merging art and science: The power of interdisciplinary thinking12:36 Company culture and collective ownership beyond shares18:52 The inversion of business values: Product, People, Profit25:44 Navigating change and innovation in fast-evolving industries33:29 Pixar's 5-step decision-making framework for creative excellence38:22 Truth-finding mechanisms in organizations45:36 The CEO's role in facilitating collaborative genius52:12 Shifting from achievement to effectiveness: "Is this working?"58:43 Future implications and conclusionsKey InsightsWhy combining seemingly incongruous disciplines (science, art, math) creates richer innovationHow most businesses conflate collective ownership with shares or control, missing true ownershipThe dangerous mismatch between stated values and actual priorities in business decision-makingWhy understanding the accelerating rate of change is fundamental to business survivalThe 5-step framework Pixar uses to make all critical creative decisionsWhy most CEOs incorrectly believe they have effective error detection mechanismsHow shifting focus from "What am I achieving?" to "Is this working?" transforms leadershipThe CEO's role in fostering collaboration rather than providing all the answersWhy judging the creation, not the creator, is essential for innovationAbout Ed CatmullEd Catmull is a pioneer in computer graphics and animation who co-founded Pixar Animation Studios. Under his leadership, Pixar produced groundbreaking animated films including Toy Story, Finding Nemo, The Incredibles, and many more. After Disney acquired Pixar in 2006, Ed served as President of both Pixar and Walt Disney Animation Studios, overseeing hits like Frozen, Tangled, and Wreck-It Ralph.His numerous accolades include five Academy Awards®, the Turing Award from the Association for Computing Machinery, and the prestigious Gordon E. Sawyer Award for lifetime contributions to computer graphics in film. Ed's book "Creativity, Inc.: Overcoming the Unseen Forces That Stand in the Way of True Inspiration" is considered essential reading on creative leadership.With a Ph.D. in computer science and an initial passion for animation that led him through physics to pioneering computer graphics, Ed's career exemplifies the power of combining art and science to create revolutionary innovation.Connect with Ed CatmullLinkedIn: https://www.linkedin.com/in/edwincatmull/X:...

The advances in AI have skyrocketed, with more and more people beginning to make use of it in everyday life. In time, AI will have a monumental effect on society at virtually every level. As such, questions about the ethics and theology of artificial intelligence. are no longer speculative, but are right here on our doorstep. How should Christians respond? What positives are there in AI? Where can it help relieve unnecessary burdens? Where are the increasing dangers too? As AI gets smarter, do we get dumber? How do think theologically about AI? How does sin factor into AI? If we create AI in the image of sinful humans, are we unleashing something capable of ever greater destruction? Could AI become "self-aware" at some point? If so, how would we categorise it? Is AI capable of "good" or "bad" moral actions? Questions truly do abound! We address many of them, and more, in this jam-packed episode of Pod of the Gaps! **** RESOURCES MENTIONED **** AI Tools: * ChatGPT (from OpenAI): https://claude.ai * Claude (from Anthropic): https://claude.ai * Perplexity: https://www.perplexity.ai * Matthew Berman, 'OpenAI's New o1 Is LYING ON PURPOSE?! (Thinking For Itself)', https://www.youtube.com/watch?v=GlZfndaO01c * George M. Coghill, ‘Artificial Intelligence (and Christianity): Who? What? Where? When? Why? sand How?' Studies in Christian Ethic'. Studies in Christian Ethics 36.3 (2023) 604-619 (online at https://doi.org/10.1177/09539468231169462) * Ethan Mollick, "Co-Intelligence: Living and Working with AI" (London: WH Allen, 2024) * Alan M. Turing, ‘Computing Machinery and Intelligence'. Mind LIX.236 (1950) 433-460 * C. R. Wiley, 'Discerning the Spirits, Part 1: When it comes to AI, nobody's home--except you" https://crwiley.substack.com/p/discerning-the-spirits-part-1

Benjamin und Christiane von "Autonomie & Algorithmen" sind zu Gast und wir fragen uns: Warum und in welcher Weise lesen wir menschliche Eigenschaften in künstliche Systeme wie etwa Large Language Models hinein. Wir klären, was der Begriff Anthropomorphisierung bedeutet, blicken in die Kultur-, Technik- und Wissenschafts-Geschichte und gehen den Psychologischen Grundlagen nach. Mit Daniel Dennetts "Intentional Stance" stelle ich eine philosophische Theorie der Anthropomorphisierung vor und Christiane präsentiert mehrere psychologische Studien, die die Frage nach dem "Warum" strategisch eingrenzen. Am Ende fragen wir noch nach der Moral von der Geschicht': Sollten KI-Systeme, Programme, Computer und Roboter menschenähnlich designet werden? Quellen: Autonomie und Algorithmen: https://autonomie-algorithmen.letscast.fm/ Der Geschichte des künstlichen Menschen habe ich mich hier gewidmet: https://perspektiefe.privatsprache.de/der-geist-in-der-maschine/ Meine Folge zum Androiden Data: https://perspektiefe.privatsprache.de/the-measure-of-a-man-die-philosophie-von-star-trek/ Daniel Dennett: The Intentional Stance: https://amzn.to/4jTk30j * The intentional stance in theory and practice: https://www.researchgate.net/profile/Daniel-Dennett/publication/271180035_The_Intentional_Stance/links/5f3d3b01a6fdcccc43d36860/The-Intentional-Stance.pdf?__cf_chl_rt_tk=bBjx1ddFsxZJuACwVDbqmVMInS7vJnRXqyEoNxptu0I-1739429482-1.0.1.1-aChSHpHXHglMNSA.7vG24WbtILS87p2TmOfxv9ywH_w Karel Capek (1922). Werstands Universal Robots. Tschechisch. Deutsche Übersetzung (gemeinfrei) bei: https://www.hs-augsburg.de/~harsch/germanica/Chronologie/20Jh/Pick/pic_wurv.html Harald Salfellner (2019). Der Prager Golem - Jüdische Sagen aus dem Ghetto. https://amzn.to/4aXv0K1 * Alan Turing (1950). Computing Machinery and Intelligence. Mind: A Quarterly Review of Psychology and Philosophy, 59(236), 433-460. https://doi.org/10.1093/mind/LIX.236.433 Joseph Weizenbaum (1960). ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36-45. https://doi.org/10.1145/365153.365168 Valentino Braitenberg (1986). Vehicles - Experiments in Synthetic Psychology. MIT Press. http://cognaction.org/cogs105/readings/braitenberg1.pdf Heider, F., & Simmel, M. (1944). An experimental study of apparent behavior. The American journal of psychology, 57(2), 243-259. https://doi.org/10.2307/1416950 Reeves, B., & Nass, C. I. (1996). The media equation: How people treat computers, television, and new media like real people and places. Center for the Study of Language and Information; Cambridge University Press. https://psycnet.apa.org/record/1996-98923-000 Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114(4), 864–886. https://doi.org/10.1037/0033-295X.114.4.864 Gazzola, V., Rizzolatti, G., Wicker, B., & Keysers, C. (2007). The anthropomorphic brain: the mirror neuron system responds to human and robotic actions. Neuroimage, 35(4), 1674-1684. https://doi.org/10.1016/j.neuroimage.2007.02.003 Roesler, E., Manzey, D., & Onnasch, L. (2021). A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction. Science Robotics, 6(58), eabj5425. https://doi.org/10.1126/scirobotics.abj5425 Mandl, S., Laß, J.S., Strobel, A. (2024). Associations Between Gender Attributions and Social Perception of Humanoid Robots. In: Camarinha-Matos, L.M., Ortiz, A., Boucher, X., Barthe-Delanoë, AM. (eds) Navigating Unpredictability: Collaborative Networks in Non-linear Worlds. PRO-VE 2024. IFIP Advances in Information and Communication Technology, vol 726. Springer, Cham. https://doi.org/10.1007/978-3-031-71739-0_6 *Das ist ein Affiliate-Link: Wenn ihr das Buch kauft, bekomme ich eine winzige Provision und freue mich. Oder in Amazons Formulierung: Als Amazon-Partner verdiene ich an qualifizierten Verkäufen.

AI in Public Health & Medicine For more information checkout: (1) Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433–460. DOI (2) Wiener, N. (1948). Cybernetics: Or Control and Communication in the Animal and the Machine. MIT Press. (3) McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (1955). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. (4) Newell, A., & Simon, H. A. (1956). The Logic Theory Machine—A Complex Information Processing System. IRE Transactions on Information Theory, 2(3), 61–79. DOI (5) Weizenbaum, J. (1966). ELIZA—A Computer Program for the Study of Natural Language Communication Between Man and Machine. Communications of the ACM, 9(1), 36–45. DOI (6) Crevier, D. (1993). AI: The Tumultuous History of the Search for Artificial Intelligence. Basic Books. (7) Feigenbaum, E. A., & McCorduck, P. (1983). The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World. Addison-Wesley. (8) Campbell, M., Hoane, A. J., & Hsu, F. H. (2002). Deep Blue. Artificial Intelligence, 134(1–2), 57–83. DOI (9) Silver, D., et al. (2016). Mastering the game of Go with deep neural networks and tree search. Nature, 529(7587), 484–489. DOI (10) Brown, T., et al. (2020). Language Models are Few-Shot Learners. Advances in Neural Information Processing Systems. (11) Ramesh, A., et al. (2021). Zero-Shot Text-to-Image Generation. OpenAI. (12) Binns, R. (2018). Fairness in Machine Learning: Lessons from Political Philosophy. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. DOI (13) Statista Research Department. (2023). Daily Per Capita Data Interactions Worldwide. (14) "AI in Health Care: Applications, Benefits, and Examples" Authors: Coursera Team Published: October 2024 (15) "AI in Healthcare: Benefits and Examples" Authors: Cleveland Clinic Health Essentials Published: September 2024 (16) "AI in Healthcare: The Future of Patient Care and Health Management" Authors: Mayo Clinic Press Published: March 2024 (17) "10 Top Artificial Intelligence (AI) Applications in Healthcare" Authors: VentureBeat Staff Published: August 2022 (18) "10 Real-World Examples of AI in Healthcare" Authors: Philips News Center Published: November 2022 (19) "AI in Healthcare: Uses, Examples & Benefits" Authors: Built In Staff Published: November 2024 (20) "Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development" Authors: U.S. Government Accountability Office Published: December 2020 (21) "Integrated Multimodal Artificial Intelligence Framework for Healthcare Applications" Authors: Luis R. Soenksen, Yu Ma, Cynthia Zeng, Leonard D. J. Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael L. Li, Ignacio Fuentes, Dimitris Bertsimas Published: February 2022 (22) "Remote Patient Monitoring Using Artificial Intelligence: Current State, Applications, and Challenges" Authors: Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya Published: January 2023 (23) Artificial Intelligence in Medicine and Healthcare: A Review and Classification of Current and Near-Future Applications and Their Ethical and Social Impact" Authors: Emilio Gómez-González, Emilia Gómez, Javier Márquez-Rivas, Manuel Guerrero-Claro, Isabel Fernández-Lizaranzu, María Isabel Relimpio-López, Manuel E. Dorado, María José Mayorga-Buiza, Guillermo Izquierdo-Ayuso, Luis Capitán-Morales Published: January 2020 (24) Parums DV. Editorial: Infectious Disease Surveillance Using Artificial Intelligence (AI) and its Role in Epidemic and Pandemic Preparedness. Med Sci Monit. 2023;29:e941209. Published 2023 Jun 1. doi:10.12659/MSM.941209 (25) Chen, S., Yu, J., Chamouni, S. et al. Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions. BMC Med 22, 354 (2024). (26) Abdulkareem M, Petersen SE. The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype. Front Artif Intell. 2021;4:652669. Published 2021 May 14. doi:10.3389/frai.2021.652669 (27) Hamilton AJ, Strauss AT, Martinez DA, et al. Machine learning and artificial intelligence: applications in healthcare epidemiology. Antimicrob Steward Healthc Epidemiol. 2021;1(1):e28. Published 2021 Oct 7. doi:10.1017/ash.2021.192

La inteligencia artificial se está implementado en todas las esferas de la sociedad y estamos apreciando cómo influye en ella. Hay quien habla de una nueva revolución industrial, pero también quién destaca los dilemas éticos que supone una tecnología que imita, a veces muy bien, la conducta humana. Llama la atención que una de las últimas medidas que ha tomado el ex presidente de Estados Unidos, Joe Biden; y lo primero que ha hecho el nuevo, Donald Trump, sea una medida relacionada con el uso de la inteligencia artificial. Biden, en su último discurso como presidente, ha alertado del riesgo que supone un mal uso de la inteligencia artificial y ha destacado que debe ser Estados Unidos y no China quien lidere su desarrollo. En ese sentido, publicaba una orden ejecutiva para garantizar que la infraestructura necesaria para operaciones avanzadas de IA se pueda construir rápidamente y a gran escala en Estados Unidos. Por su parte, Trump ha nombrado al murciano Darío Gil, director de Investigación de IBM Research, que abarca las áreas de Inteligencia Artificial, computación cuántica y ciencia exploratoria, subsecretario de Estado de Ciencia e Innovación.La inteligencia artificial es una disciplina que busca crear máquinas que imiten la inteligencia humana para realizar tareas y que pueden mejorar conforme recopilen información. Su funcionamiento lo explica José Tomás Palma, profesor del departamento de Ingeniería de la Información y las Comunicaciones de la Universidad de Murcia. El hecho de que se hable de máquinas que hagan las acciones de los humanos es muy antiguo, aunque el primero en proponerlo fue Allan Turing, gran impulsor de la computación. En 1950, el matemático Alan Turing se preguntó: "¿Pueden pensar las máquinas?". Lo hizo en el artículo de "Computing Machinery and Intelligence". Precisamente esa pregunta, ¿Pueden pensar las máquinas?, sigue de moda hoy en día, especialmente con el uso de herramientas que puedan aproximarse al pensamiento humano y que mejora su funcionamiento con los datos que aportan los usuarios. Es lo que coloquialmente conocemos como aprendizaje de la máquina. Precisamente en 1950, Alan Turing planteó el test de Turing. El uso de este test ha vuelto a cobrar importancia hoy en día, en el que se plantea los límites de la relación del ser humano con la máquina.Lola Cano, doctora en ingeniería de Telecomunicación y catedrática de la Universidad Politécnica de Cartagena, lo usaba en una entrevista en el programa Plaza Pública de Onda Regional, en la que aseguraba que tenemos que aprender a dominar a la Inteligencia Artificial pero aceptando a la vez las posibilidades que nos ofrece.Y el uso de la inteligencia artificial requiere de un trabajo en el que están involucradas empresas e instituciones de nivel y también distintas disciplinas. De todo ello hablamos con Elena González, jefa de Inteligencia Artificial para StartUps y Unicornios de Microsoft para Europa, Oriente Medio y África. Al margen del trabajo que se realiza a nivel internacional, en la Unión Europea y, en concreto, en España, se está trabajando en la materia. Lo decía la murciana María González Veracruz, secretaria de Estado de Digitalización e IA, en una entrevista en Plaza Pública, de Onda Regional. De hecho en la Unión Europea ha hecho un reglamento europeo para legislar en la materia, del hablamos con Juan Luis Pedreño, diputado y portavoz de Inteligencia Artificial en el Congreso de los Diputados.Además, en este programa les hablamos de ejemplos de implementación de la Inteligencia Artificial en distintos sectores. Uno el traductor de Meta, utilizando la inteligencia artificial, que ha probado nuestro compañero José Antonio Sánchez; el uso de la IA en la Administración, que cuenta Javier Martínez Gilabert, director general de Transformación Digital; y el periodismo, que explica José Manuel Noguera, profesor de Periodismo de la UCAM.

In Episode 143 of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes engage in a compelling conversation with Dr. John Chapin, a renowned computer science educator and presenter at CSTA. As the CS Pathway Leader at the Academies of Loudoun, Dr. Chapin brings over a decade of experience in primary and secondary education, creating and implementing rigorous curricula for post-AP CS students. He shares insights into the transformative power of Computational Thinking 2.0, emphasizing the importance of Python and data science in today's educational landscape. Listeners will gain a deeper understanding of how integrating machine learning, data analytics, and mobile app development into CS education can foster a culture of inquiry, creativity, and collaboration among students and educators. Throughout the episode, Dr. Chapin discusses his recent research on the impact of whiteboarding on student self-efficacy in CS1 classes, as presented at the Association for Computing Machinery's Global Computer Education Conference (CompEd2023). He also shares his experiences conducting professional development workshops for CS teachers across Virginia and his efforts to align CS programs with the evolving needs of the workforce and society. This episode is a must-listen for educators, administrators, and anyone passionate about the future of computer science education, offering actionable ideas and inspiration to enhance their teaching practices and curriculum design. Special Guest: Dr. John Chapin.

This episode is based upon three readings: Alan Turing's Computing Machinery and Intelligence aka The Turing Test paper. Turing starts his paper by asking “can machines think?” before deciding that's a meaningless question. Instead, he invents something he calls “the imitation game” - a text conversation where the player has to guess whether they are chatting with another person or with an AI. ChatGPT was such a bombshell because it easily and consistently passes this “Turing Test” by giving human-like responses to questions. Here's the issue: the Turing Test is based upon AI deception, not thinking. Turing set out to ask Can Machines Think? and ended up showing how easily AI can deceive us. Karel Čapek's Rossum's Universal Robots. This is the first AI Takeover story. It's a play written in 1920 about a factory manufacturing artificial persons. Čapek introduced the word Robot to the English language - it's derived from robota, a Czech word meaning forced labor. Čapek's robots are supposed to be the ultimate workers, free from distracting human needs and desires. Yet, they mysteriously start to glitch, gnashing their teeth, freezing up. When they are given guns and asked to fight humanity's wars, they become super soldiers as well as perfect workers. Anyone who has seen Blade Runner, The Terminator, or Battlestar Galactica - all inspired by Čapek's play - knows what happens next. Rossum's Universal Robots is the original AI takeover story, as well as being a dead-on satire of twentieth century ideas like Fordism and nationalism. Joanna Bryson's Robots Should be Slaves. Bryson, a computer scientist, makes a provocative intervention into AI ethics. She argues that as AI becomes more advanced, and robots more lifelike, we are going to get dangerously confused: we'll want to give robots rights that they cannot and should not have. Bryson argues that robots are owned by us and should be seen and used as property. She wants to avoid conflating the human and the mechanical, yet, by using the terminology of slavery, she introduces into the AI debate the very thing she seeks to deny - the concept of human rights. 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

This episode is based upon three readings: Alan Turing's Computing Machinery and Intelligence aka The Turing Test paper. Turing starts his paper by asking “can machines think?” before deciding that's a meaningless question. Instead, he invents something he calls “the imitation game” - a text conversation where the player has to guess whether they are chatting with another person or with an AI. ChatGPT was such a bombshell because it easily and consistently passes this “Turing Test” by giving human-like responses to questions. Here's the issue: the Turing Test is based upon AI deception, not thinking. Turing set out to ask Can Machines Think? and ended up showing how easily AI can deceive us. Karel Čapek's Rossum's Universal Robots. This is the first AI Takeover story. It's a play written in 1920 about a factory manufacturing artificial persons. Čapek introduced the word Robot to the English language - it's derived from robota, a Czech word meaning forced labor. Čapek's robots are supposed to be the ultimate workers, free from distracting human needs and desires. Yet, they mysteriously start to glitch, gnashing their teeth, freezing up. When they are given guns and asked to fight humanity's wars, they become super soldiers as well as perfect workers. Anyone who has seen Blade Runner, The Terminator, or Battlestar Galactica - all inspired by Čapek's play - knows what happens next. Rossum's Universal Robots is the original AI takeover story, as well as being a dead-on satire of twentieth century ideas like Fordism and nationalism. Joanna Bryson's Robots Should be Slaves. Bryson, a computer scientist, makes a provocative intervention into AI ethics. She argues that as AI becomes more advanced, and robots more lifelike, we are going to get dangerously confused: we'll want to give robots rights that they cannot and should not have. Bryson argues that robots are owned by us and should be seen and used as property. She wants to avoid conflating the human and the mechanical, yet, by using the terminology of slavery, she introduces into the AI debate the very thing she seeks to deny - the concept of human rights. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/intellectual-history

This episode is based upon three readings: Alan Turing's Computing Machinery and Intelligence aka The Turing Test paper. Turing starts his paper by asking “can machines think?” before deciding that's a meaningless question. Instead, he invents something he calls “the imitation game” - a text conversation where the player has to guess whether they are chatting with another person or with an AI. ChatGPT was such a bombshell because it easily and consistently passes this “Turing Test” by giving human-like responses to questions. Here's the issue: the Turing Test is based upon AI deception, not thinking. Turing set out to ask Can Machines Think? and ended up showing how easily AI can deceive us. Karel Čapek's Rossum's Universal Robots. This is the first AI Takeover story. It's a play written in 1920 about a factory manufacturing artificial persons. Čapek introduced the word Robot to the English language - it's derived from robota, a Czech word meaning forced labor. Čapek's robots are supposed to be the ultimate workers, free from distracting human needs and desires. Yet, they mysteriously start to glitch, gnashing their teeth, freezing up. When they are given guns and asked to fight humanity's wars, they become super soldiers as well as perfect workers. Anyone who has seen Blade Runner, The Terminator, or Battlestar Galactica - all inspired by Čapek's play - knows what happens next. Rossum's Universal Robots is the original AI takeover story, as well as being a dead-on satire of twentieth century ideas like Fordism and nationalism. Joanna Bryson's Robots Should be Slaves. Bryson, a computer scientist, makes a provocative intervention into AI ethics. She argues that as AI becomes more advanced, and robots more lifelike, we are going to get dangerously confused: we'll want to give robots rights that they cannot and should not have. Bryson argues that robots are owned by us and should be seen and used as property. She wants to avoid conflating the human and the mechanical, yet, by using the terminology of slavery, she introduces into the AI debate the very thing she seeks to deny - the concept of human rights. Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode is based upon three readings: Alan Turing's Computing Machinery and Intelligence aka The Turing Test paper. Turing starts his paper by asking “can machines think?” before deciding that's a meaningless question. Instead, he invents something he calls “the imitation game” - a text conversation where the player has to guess whether they are chatting with another person or with an AI. ChatGPT was such a bombshell because it easily and consistently passes this “Turing Test” by giving human-like responses to questions. Here's the issue: the Turing Test is based upon AI deception, not thinking. Turing set out to ask Can Machines Think? and ended up showing how easily AI can deceive us. Karel Čapek's Rossum's Universal Robots. This is the first AI Takeover story. It's a play written in 1920 about a factory manufacturing artificial persons. Čapek introduced the word Robot to the English language - it's derived from robota, a Czech word meaning forced labor. Čapek's robots are supposed to be the ultimate workers, free from distracting human needs and desires. Yet, they mysteriously start to glitch, gnashing their teeth, freezing up. When they are given guns and asked to fight humanity's wars, they become super soldiers as well as perfect workers. Anyone who has seen Blade Runner, The Terminator, or Battlestar Galactica - all inspired by Čapek's play - knows what happens next. Rossum's Universal Robots is the original AI takeover story, as well as being a dead-on satire of twentieth century ideas like Fordism and nationalism. Joanna Bryson's Robots Should be Slaves. Bryson, a computer scientist, makes a provocative intervention into AI ethics. She argues that as AI becomes more advanced, and robots more lifelike, we are going to get dangerously confused: we'll want to give robots rights that they cannot and should not have. Bryson argues that robots are owned by us and should be seen and used as property. She wants to avoid conflating the human and the mechanical, yet, by using the terminology of slavery, she introduces into the AI debate the very thing she seeks to deny - the concept of human rights. 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

This episode is based upon three readings: Alan Turing's Computing Machinery and Intelligence aka The Turing Test paper. Turing starts his paper by asking “can machines think?” before deciding that's a meaningless question. Instead, he invents something he calls “the imitation game” - a text conversation where the player has to guess whether they are chatting with another person or with an AI. ChatGPT was such a bombshell because it easily and consistently passes this “Turing Test” by giving human-like responses to questions. Here's the issue: the Turing Test is based upon AI deception, not thinking. Turing set out to ask Can Machines Think? and ended up showing how easily AI can deceive us. Karel Čapek's Rossum's Universal Robots. This is the first AI Takeover story. It's a play written in 1920 about a factory manufacturing artificial persons. Čapek introduced the word Robot to the English language - it's derived from robota, a Czech word meaning forced labor. Čapek's robots are supposed to be the ultimate workers, free from distracting human needs and desires. Yet, they mysteriously start to glitch, gnashing their teeth, freezing up. When they are given guns and asked to fight humanity's wars, they become super soldiers as well as perfect workers. Anyone who has seen Blade Runner, The Terminator, or Battlestar Galactica - all inspired by Čapek's play - knows what happens next. Rossum's Universal Robots is the original AI takeover story, as well as being a dead-on satire of twentieth century ideas like Fordism and nationalism. Joanna Bryson's Robots Should be Slaves. Bryson, a computer scientist, makes a provocative intervention into AI ethics. She argues that as AI becomes more advanced, and robots more lifelike, we are going to get dangerously confused: we'll want to give robots rights that they cannot and should not have. Bryson argues that robots are owned by us and should be seen and used as property. She wants to avoid conflating the human and the mechanical, yet, by using the terminology of slavery, she introduces into the AI debate the very thing she seeks to deny - the concept of human rights. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. 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

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. 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

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. 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

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. 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

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/popular-culture

It's the UConn Popcast, and this is the first episode in our new series about artificial intelligence and popular culture. In this first episode, we revisit Alan Turing's seminal1950 paper Computing Machinery and Intelligence, in which he asks "Can machines think?" In the paper, Turing proposes what became known as "The Turing test," a game of deception which, if a machine were to pass it, could be said to herald the onset of the age of machine intelligence. With large language models (LLMs) today easily passing this test, we react to the paper and examine the implications from a humanistic standpoint. Did Turing successfully predict contemporary LLMs 75 years ago? What does it mean that Turing's test was based not on the abilities of a machine per se, but rather on a machine's ability to deceive humans? How have Turing's ideas permeated our cultural and popular cultural ideas about AI? And why did Turing think ESP had a role to play in understanding AI. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/popular-culture

What is technostress in the workplace? How does this type of stress impact individuals and organizations? Join me in this episode of Psychchat, where I will share strategies to mitigate technostress.ReferencesAyyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831-858. https://doi.org/10.2307/41409963Barber, L. K., & Santuzzi, A. M. (2015). Please respond ASAP: Workplace telepressure and employee recovery. Journal of Occupational Health Psychology, 20(2), 172-189. https://doi.org/10.1037/a0038278Brod, C. (1984). Technostress: The human cost of the computer revolution. Addison-Wesley.Hauk, N., Göritz, A. S., & Krumm, S. (2019). The mediating role of coping behavior on the age-technostress relationship: A longitudinal multilevel mediation model. PLoS ONE, 14(3), e0213349. https://doi.org/10.1371/journal.pone.0213349Maier, C., Laumer, S., Weinert, C., & Weitzel, T. (2015). The effects of technostress and switching stress on discontinued use of social networking services: A study of Facebook use. Information Systems Journal, 25(3), 275-308. https://doi.org/10.1111/isj.12068Pirkkalainen, H., Salo, M., Tarafdar, M., & Makkonen, M. (2019). Deliberate or instinctive? Proactive and reactive coping for technostress. Journal of Management Information Systems, 36(4), 1179-1212. https://doi.org/10.1080/07421222.2019.1661092Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417-433. https://doi.org/10.1287/isre.1070.0165Riedl, R., Kindermann, H., Auinger, A., & Javor, A. (2012). Technostress from a neurobiological perspective. Business & Information Systems Engineering, 4(2), 61-69. https://doi.org/10.1007/s12599-012-0207-7Salanova, M., Llorens, S., & Cifre, E. (2013). The dark side of technologies: Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422-436. https://doi.org/10.1080/00207594.2012.680460Tams, S., Legoux, R., & Leger, P. M. (2018). Smartphone withdrawal creates stress: A moderated mediation model of nomophobia, social threat, and phone withdrawal context. Computers in Human Behavior, 81, 1-9. https://doi.org/10.1016/j.chb.2017.11.026Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The technostress trifecta‐techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6-42. https://doi.org/10.1111/isj.12169Tarafdar, M., Pullins, E. B., & Ragu‐Nathan, T. S. (2015). Technostress: negative effect on performance and possible mitigations. Information Systems Journal, 25(2), 103-132. https://doi.org/10.1111/isj.12042Tarafdar, M., Tu, Q., Ragu-Nathan, T. S., & Ragu-Nathan, B. S. (2011). Crossing to the dark side: Examining creators, outcomes, and inhibitors of technostress. Communications of the Association for Computing Machinery, 54(9), 113-120. https://doi.org/10.1145/1995376.1995403Vischer, J. C. (2007). The effects of the physical environment on job performance: Towards a theoretical model of workspace stress. Stress and Health: Journal of the International Society for the Investigation of Stress, 23(3), 175-184. https://doi.org/10.1002/smi.1134 

آیا هوش مصنوعی می‌تونه در آینده‌ای نزدیک از کنترل ما خارج بشه و شغل‌ها، ارتش‌ها و حتی حکومت ما رو در دست بگیره؟در اپیزود یازدهم فیلکست به موضوع هوش مصنوعی و حاشیه‌های اون پرداختیم. موضوعی که این روزها هم خیلی داغه، هم خیلی ترسناک. اول تاریخچه هوش مصنوعی و ماشین‌های هوشمند رو بررسی می‌کنیم و بعد به سراغ وضعیت فعلی و چشم‌اندازه آینده‌ی هوش مصنوعی میریم.مهمانان:- محمد علی صدرایی: عضو تیم پردازش زبان طبیعی، در مرکز تحقیقات هوش مصنوعی پارت- دکتر طاها یاسری: متخصص روابط اجتماعی انسان و ماشیناسپانسر این اپیزود از فیلکست: ویپاد، ترابانک پاسارگاداینستاگرام ویپاد: Wepod_irپادکست تجربه جهانی لینک ویرگول فیلکست ————منابع:- Erewhon - Samuel Butler (1872)- Computing Machinery and Intelligence - Alan Turing (1950)- A Brief History of Artificial Intelligence - Michael Wooldridg(2021)- AI Ethics - Mark Coeckelberg - MIT Press (2020)- Robots in Groups and Teams: A Literature Review. - Sarah Sebo, Brett Stoll, Brian Scassellati, and Malte F. Jung. 2020. ———موسیقی‌ها:- Crosswords-Alexandre Desplat- The Immitation Game- Alan - Alexandre Desplat - The Imitation Game- Watching with ten thousand eyes - Ramin Djawadi - Person of Interest- The Turing Test - Ben Salisbury and Geoff Barrow - Ex Machina- A Place In The Sky - Hans Zimmer - The Creator- Listening with a million ears - Ramin Djawadi - Person of Interest- Westworld Main Title Theme - Ramin Djawadi - Westworld- Connor Main Theme - Nima Fakhrara - Detroit: Become Human- ‌Bunsen Burner - CUTS - Ex Machinaحمایت مالی از فیلکست:حامی باشاینستاگرام فیلکست:Fillcast_

In this episode we learn about Charles Assisi's journey, a seasoned journalist whose career began quite unexpectedly. Once aspiring to enter medical school, Charles's fascination with the dynamic world of journalism led him down a different path. In this conversation, he shares candid insights into the non-linear trajectory of his career, the adrenaline of the newsroom, and his observations on how media has evolved with the digital age. From the dot com boom to today's complex media landscape, Charles discusses the importance of integrity in journalism, the challenges young content creators face, and his personal take on balancing opinion and reporting in today's hyper-connected world. Charles Assisi is also the co-founder of Founding Fuel, a media and learning platform, and co-author of The Aadhaar Effect: Why The World's Largest Identity Project Matters. Charles is also a columnist for  Hindustan Times, and he has been published in several peer reviewed journals such as Association for Computing Machinery  and Shaastra, a brainchild of IIT (Madras).    SHOWNOTES -  00:01:35 - Allure of the newsroom, challenges of journalism, & the rare highs of bylines and recognition 00:08:50 - Advice for content creators on maintaining journalistic integrity 00:13:25 - Decline in media scrutiny & the current state of editorial standards 00:19:00 - How podcasters & YouTubers shape public discourse on complex topics  00:27:40 - Expressing opinions in healthier ways 00:32:20 - Aiming for growth and virality while maintaining integrity 00:35:31 - Is Charles a free speech absolutist? 00:47:45 - Favourite authors and thinkers 00:52:00 - The one man Charles wants to interview   CONNECT WITH CHARLES ASSISI -  Website - https://assisi.io/ Founding Fuel - http://www.foundingfuel.com  The Aadhaar Effect - https://amzn.to/2YNThAC Twitter - @c_assisi   CONNECT WITH ME - Take the EmoPersona Quiz - https://www.kratimehra.com/emopersonaquiz/ Subscribe to the Newsletter - https://www.kratimehra.com/newsletter/ For more, visit - https://www.kratimehra.com/experible/  

Redécouvrez l'article d'Alan Turing sur le ‘test de Turing' sous un angle inédit. Jeu fascinant qui nous interroge sur la capacité des machines à imiter les êtres humains. Chronique incontournable pour comprendre les enjeux actuels de l'intelligence artificielle ! Cette chronique est extraite de l'épisode : Marius Bertolucci : IA ou le syndrome de l'Homme diminué La tech entre les lignes, la chronique qui décrypte les articles tech, animée par Louis de Diesbach.   ***** À PROPOS DE TRENCH TECH *****LE talkshow « Esprits Critiques pour Tech Ethique »Écoutez-nous sur toutes les plateformes de podcast

For our first episode, we're starting with the big picture. What is (or isn't) “artificial intelligence”? How can we be sure AI is safe and beneficial for everyone? And what is the best way of thinking about working with AI right now, no matter how we use it?Here with all the answers is Peter Stone. He's a professor of computer science at UT Austin, director of Texas Robotics, the executive director of Sony AI America and a key member in the 100 Year Study on AI. He's worked for many years on applications of AI in robotics: for example, soccer-playing robots, self-driving cars and home helper robots. He's also part of UT Austin's Good Systems initiative, which is focused on the ethics of AI.Dig DeeperAn open letter signed by tech leaders, researchers proposes delaying AI development, NPR (interview with Peter Stone)AI's Inflection Point, Texas Scientist (an overview of AI-related developments at UT Austin)Experts Forecast the Changes Artificial Intelligence Could Bring by 2030 (About the first AI100 study, which Peter Stone chaired)Computing Machinery and Intelligence (Alan Turing's 1950 article describing the Imitation Game, a test to determine if a machine has human intelligence) Good Systems (UT Austin's grand challenge focused on designing AI systems that benefit society)Year of AI – News & Resources (News from an initiative showcasing UT Austin's commitment to developing innovations and growing leaders to navigate the ever-evolving landscape brought about by AI.)Episode CreditsOur co-hosts are Marc Airhart, science writer and podcaster in the College of Natural Sciences and Casey Boyle, associate professor of rhetoric and director of UT's Digital Writing & Research Lab.Executive producers are Christine Sinatra and Dan Oppenheimer. Sound design and audio editing by Robert Scaramuccia. Theme music is by Aiolos Rue. Interviews are recorded at the Liberal Arts ITS recording studio.Cover image for this episode generated with Adobe Firefly, a generative AI tool. About AI for the Rest of UsAI for the Rest of Us is a joint production of The University of Texas at Austin's College of Natural Sciences and College of Liberal Arts. This podcast is part of the University's Year of AI initiative. The opinions expressed in this podcast represent the views of the hosts and guests, and not of The University of Texas at Austin. You can listen via Apple Podcasts, Spotify, Amazon Podcasts, RSS, or anywhere you get your podcasts. You can also listen on the web at aifortherest.net. Have questions or comments? Contact: mairhart[AT]austin.utexas.edu

Summary Andrew Hodges (Website, Wikipedia) joins Andrew (X; LinkedIn) to discuss the life and work of Alan Turing. Andrew is an emeritus senior research fellow of mathematics at the University of Oxford.  What You'll Learn Intelligence Turing's early foundations for artificial intelligence  Interwar cryptanalysis Bletchley Park, Hut 8, and British Naval Intelligence The mechanics of the Bombe machine Reflections Legacy changing alongside social history The weight and pressure of genius  And much, much more … Quotes of the Week “Everything that you do with the digital, everything that we're doing now through these computers, flows from his perceptions. And that in turn came through his practical experience during the Second World War on breaking the enemy codes.” – Andrew Hodges . Resources  SURFACE SKIM *SpyCasts* The Real Ian Fleming with Nicholas Shakespeare (2024)  ANNIVERSARY SPECIAL: “The D-Day Deception” – with National WWII Museum Curator Corey Graff (2023)  Hitler's Trojan Horse – Nazi Intelligence with Nigel West (2023) How Artificial Intelligence is Changing the Spy Game with Mike Susong (2023) *Beginner Resources* Alan Turing, B.J. Copeland, Britannica (2024) [Short biography] How Did the Enigma Machine Work? Science Museum Group, YouTube (2019) [2 min. video] How Alan Turing Cracked the Enigma Code, Imperial War Museum (n.d.) [Short article] DEEPER DIVE Books The Codebreakers of Bletchley Park, J. D. Turing (Arcturus, 2020) Turing's Vision: The Birth of Computer Science, C. Bernhardt (MIT Press, 2017) Alan Turing: The Enigma, A. Hodges (Burnett Books/Hutchinson, 1983) Primary Sources  Alan Turing Obituary and Tributes (1954)  Can digital computers think? (1951) Computing Machinery and Intelligence (1950) Proposed electronic calculator (1946) Turing's Treatise on the Enigma (1939-1942) On Computable Numbers (1936) *Wildcard Resource* Alan Turing's School Report Card Didn't do very well in high school? Neither did Alan Turing. Amongst hopeful comments about his promising skills in mathematics, teachers noted Turing's carelessness and severe lack of neatness in his work.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Hosts: Dr. Sabrina Hsueh, Director of Ethical AI and External Innovation, Pfizer Pharmaceuticals Dr. Karmen S. Williams, Assistant Professor, CUNY SPH Guest: Dr. Francesca Rossi, IBM Fellow and AI Ethics Global Leader Description: In this episode of the Association of Computing Machinery and AMIA Joint Podcast Series, we learn more about the career trajectory and the global outlook on artificial intelligence outlook through our chat with an IBM fellow and AI Ethics Global Leader, Dr. Francesca Rossi. You can also listen on ACM - https://learning.acm.org/bytecast/ep53-francesca-rossi.

Save 20% on all Nuzest Products WORLDWIDE with the code MIKKIPEDIA at www.nuzest.co.nz, www.nuzest.com.au or www.nuzest.comThis week on the podcast Mikki speaks to Professor Ken Ford, co-founder and director of the Institute of Human and Machine Cognition. They discuss AI, ketogenic diets, why you can't trust nutrition science and much more.Kenneth Ford is Founder and Chief Executive Officer of the Florida Institute for Human & Machine Cognition (IHMC) — a not-for-profit research institute located in Pensacola, Florida. IHMC has grown into one of the nation's premier research organizations with world-class scientists and engineers investigating a broad range of topics related to building technological systems aimed at amplifying and extending human cognition, perception, locomotion and resilience.Ken is the author of hundreds of scientific papers and six books. He received his Ph.D. in Computer Science from Tulane University. He is a Fellow of the Association for the Advancement of Artificial Intelligence, a charter Fellow of the National Academy of Inventors, and a member of the Association for Computing Machinery, the IEEE Computer Society, and the National Association of Scholars.In February of 2012, Dr. Ford was named to the Defense Science Board (DSB) and in 2013, he became a member of the Advanced Technology Board (ATB) which supports the Office of the Director of National Intelligence (ODNI). In 2018, Dr. Ford was appointed to the National Security Commission on Artificial Intelligence.In 2020, Florida Trend Magazine named Ford one of its Living Legends, a list of all-time influential Florida leaders in business, medicine, academia, entertainment, politics, and sport.He also hosts a popular podcast about science called Stem-talk: https://www.ihmc.us/stemtalk/ Ken Ford: https://www.ihmc.us/groups/kford/ Contact Mikki:https://mikkiwilliden.com/https://www.facebook.com/mikkiwillidennutritionhttps://www.instagram.com/mikkiwilliden/https://linktr.ee/mikkiwillidenCurranz supplement: MIKKI saves you 25% at www.curranz.co.nz or www.curranz.co.uk off your first order

To help celebrate International Women's Day and Women's History Month, Rob spoke with Spanish computer scientist Nuria Oliver about her work to date, such as using big data systems to help unbanked people access credit in developing nations or combating bias in AI systems. Nuria recounted how she first became interested in computing and turned that interest into a career. They also discussed the gender imbalance in computing today and Nuria offered some thought-provoking suggestions as to how these issues might be addressed. Nuria is also a fellow with Association of Computing Machinery, so thanks to the ACM for setting up the interview.   Here are links to projects mentioned during the podcast: ELLIS – European Laboratory for Learning and Intelligent Systems https://ellis.eu Data-Pop Alliance https://datapopalliance.org Nuria Oliver's Personal Website https://www.nuriaoliver.com Association of Computing Machinery (ACM) https://www.acm.org   To keep up to date with The Machine, you can find the podcast on X/Twitter @machine_podcast or you can connect with Rob O'Connor via LinkedIn

Fast forward to the 20th century, the term "Artificial Intelligence" was coined in 1956 by John McCarthy, a visionary who often gets overshadowed by more commercial names in tech history. But it was Alan Turing, a name synonymous with the breaking of the Enigma code during World War II, who laid the philosophical groundwork with his seminal paper, "Computing Machinery and Intelligence" in 1950. Here, he proposed the Turing Test - a benchmark for machine intelligence.

Andrew Bosworth—or Boz, as most people know him—is the chief technology officer at Meta and head of Reality Labs, the company's augmented reality/virtual reality (AR/VR) organization, which he created in 2017. Boz joined Facebook in 2006 as their approximately 10th engineer, and in his 18-year tenure he built the original News Feed, Messenger, and Groups, as well as many early anti-abuse and infrastructure systems. At various times he has been the engineering director overseeing Events, Places, Photos, Videos, Timeline, Privacy, and more. Before Reality Labs, he ran the Ads and Business Platform product group, where he led engineering, product, research, analytics, and design, taking annual revenue from $4 billion to $40 billion in five years. Andrew currently leads Meta's efforts in AR, VR, AI, and consumer hardware across Quest, Ray-Ban Meta glasses, and more. In our conversation, we discuss:• Stories from the early days of Facebook• Lessons from Meta's downturn and recent turnaround• Meta's culture of transparency• Boz's thoughts on the Apple Vision Pro• Why communication is the job• Why you should regularly seek help from your manager• Lessons in setting incentives and avoiding their misuse• Why you should optimize for a variety in experience in your career• The importance of trusting your own expertise and not being swayed by external opinions• Stories of failures and personal growth—Brought to you by:• Vanta—Automate compliance. Simplify security.• Eppo—Run reliable, impactful experiments• Explo—Embed customer-facing analytics in your product—Find the full transcript at: https://www.lennyspodcast.com/making-meta-andrew-boz-bosworth-cto/—Where to find Andrew Bosworth:• Facebook: https://www.facebook.com/boz/• Instagram: https://www.instagram.com/boztank/• X: https://twitter.com/boztank• LinkedIn: https://www.linkedin.com/in/andrew-bosworth-8247a01/• Website: https://boz.com/• Photography website: https://wardenshortbow.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Boz's background(04:48) Fun facts about him(07:20) Early days at Facebook(11:11) Advice for founders(13:22) Leveraging leaders(19:27) Tips for communicating with managers(22:10) Transparency at Meta(27:01) The importance of clear guidelines(29:11) Involvement in the details(33:15) Building the News Feed(37:28) Passion and career growth(40:25) Exploring new opportunities(42:02) The value of variety in experience(45:01) Giving and receiving feedback(47:38) Boz's tattoos(51:30) Communication is the job(01:00:47) Comparing VR headsets: Meta Quest 3 and Apple Vision Pro(01:10:41) Meta's downturn and turnaround(01:16:10) Navigating org changes(01:20:43) Lessons from failure(01:26:33) Closing thoughts(01:29:57) Lightning round—Referenced:• Reality Labs: https://about.meta.com/realitylabs/• Quest: https://www.meta.com/quest/• Ray-Ban Meta smart glasses: https://www.ray-ban.com/usa/ray-ban-meta-smart-glasses• Taekwondo: https://en.wikipedia.org/wiki/Taekwondo• 4-H: https://4-h.org/• David Copperfield's website: https://www.davidcopperfield.com/html/• MC Hammer on Instagram: https://www.instagram.com/mchammer/• George W. Bush: https://www.whitehouse.gov/about-the-white-house/presidents/george-w-bush/• Fry's Electronics: https://en.wikipedia.org/wiki/Fry%27s_Electronics• Association for Computing Machinery: https://www.acm.org• Get It Done: https://boz.com/articles/get-it-done• Patrick Stewart on X: https://twitter.com/sirpatstew• The FB Exec Practice That Changed the Way I Lead (about HPMs): https://livingos.substack.com/p/fb-exec-hpm• Mark Zuckerberg on Facebook: https://www.facebook.com/zuck• Chris Cox on LinkedIn: https://www.linkedin.com/in/chris-cox-2896b841/• Javier Olivan on LinkedIn: https://www.linkedin.com/in/javierolivan/• Brian Chesky's new playbook: https://www.lennyspodcast.com/brian-cheskys-new-playbook/• Eye of Sauron: https://lotr.fandom.com/wiki/Eye_of_Sauron• Ruchi Sanghvi on LinkedIn: https://www.linkedin.com/in/rsanghvi/• Eric Schmidt on LinkedIn: https://www.linkedin.com/in/eric-e-schmidt/• Sheryl Sandberg on LinkedIn: https://www.linkedin.com/in/sheryl-sandberg-5126652/• Best Advice Sheryl Sandberg Received: If Offered a Seat on Rocket Ship, Get On: https://news.yahoo.com/blogs/newsmakers/best-advice-sheryl-sandberg-received-don-t-idiot-161459450.html• Veritas: https://en.wikipedia.org/wiki/Veritas• Communication is The Job: https://boz.com/articles/communication-is-the-job• Repetition does not spoil the prayer: https://www.linkedin.com/pulse/repetition-does-spoil-prayer-constantine-constantinides-m-d-ph-d--1f/• Janet Lansbury's website: https://www.janetlansbury.com/• Dr. Becky on Instagram: https://www.instagram.com/drbeckyatgoodinside• Boz to the Future Episode 18: The Future According to Matthew Ball: https://www.meta.com/blog/quest/boz-to-the-future-episode-18-matthew-ball-metaverse-epyllion/• Apple Vision Pro: https://www.apple.com/apple-vision-pro• Quest 3 headset: https://www.meta.com/quest/quest-3/• Virtual desktop: https://www.meta.com/experiences/2017050365004772/• Meta Horizon Workrooms: https://www.meta.com/experiences/2514011888645651/ • After trying the Vision Pro, Mark Zuckerberg says Quest 3 ‘is the better product, period': https://www.theverge.com/2024/2/13/24072413/mark-zuckerberg-apple-vision-pro-review-quest-3• Lou Holtz on X: https://twitter.com/CoachLouHoltz88• Gell-Mann amnesia effect: https://en.wiktionary.org/wiki/Gell-Mann_Amnesia_effect• “Wet streets cause rain”: https://news.ycombinator.com/item?id=19026568• Michael Crichton on X: https://twitter.com/CrichtonBooks• AI research at Meta: https://ai.meta.com/research/• Llama 2: https://llama.meta.com/• Warren Buffett quote: https://www.brainyquote.com/quotes/warren_buffett_383933• Mark Slee on LinkedIn: https://www.linkedin.com/in/mcslee/• Dave Fetterman on LinkedIn: https://www.linkedin.com/in/davefetterman/• Emacs and Vim: https://dev.to/george_udonte/emacs-and-vim-an-overview-for-beginners-2e65• Ami Vora on LinkedIn: https://www.linkedin.com/in/amvora/• The Dream Machine: https://www.amazon.com/Dream-Machine-M-Mitchell-Waldrop/dp/1732265119• Alan Turing: https://en.wikipedia.org/wiki/Alan_Turing• Good Inside: A Guide to Becoming the Parent You Want to Be: https://www.amazon.com/Good-Inside-Guide-Becoming-Parent/dp/B09Y4WG7RJ• Dr. Becky's website: https://www.goodinside.com/• The Mandalorian on Disney+: https://www.disneyplus.com/series/the-mandalorian/3jLIGMDYINqD• Scott Trowbridge on LinkedIn: https://www.linkedin.com/in/scott-trowbridge-b70866/• Dave Filoni on X:  https://twitter.com/dave_filoni• Jon Favreau on X: https://twitter.com/jon_favreau• Mercedes-Benz AMG EQS Sedan: https://www.mbusa.com/en/vehicles/model/eqs/sedan/amgeqsv4• Tracey Emin “Trust Yourself”: https://www.artsy.net/artwork/tracey-emin-trust-yourself• Tracey Emin on Instagram: https://www.instagram.com/traceyeminstudio• Rick Rubin: Protocols to Access Creative Energy and Process | Huberman Lab Podcast: https://www.youtube.com/watch?v=GpgqXCkRO-w• Ansel Adams: https://en.wikipedia.org/wiki/Ansel_Adams—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

Step into the dynamic world of Yannis Ioannidis, a luminary in the realm of data management and storytelling innovation. As the President of the ACM (Association for Computing Machinery) and a trailblazer in the field of data science, Ioannidis shares insights into his groundbreaking work. Join us as we explore the crossroads where large language models, education, and the pursuit of artificial general intelligence intersect, as articulated by one of the industry's thought leaders.  [00:39] - About Yannis Ioannidis Yannis is the Professor of Informatics and Telecommunications at National and Kapodistrian University of Athens. He is the current President of the Association for Computing Machinery (ACM). --- Support this podcast: https://podcasters.spotify.com/pod/show/tbcy/support

Derek Reveron is Chair and Professor of National Security Affairs at the U.S. Naval War College in Newport, Rhode Island. He specializes in strategy development, non-state security challenges, intelligence, and U.S. defense policy. He has authored or edited fourteen books. Dr. Reveron is a faculty affiliate at the Belfer Center for Science and International Affairs at Harvard University where he co-teaches a course on contemporary national security challenges at the Kennedy School of Government. The views expressed by Dr. Reveron are his alone and do not necessarily represent the positions of the Naval War College, the U.S. Navy, or the Department of Defense. John E. Savage is the An Wang Professor Emeritus of Computer Science at Brown University. He is a Fellow of the American Association for the Advancement of Science, Association for Computing Machinery, Institute of Electrical and Electronics Engineers, and a Guggenheim Fellow. He served as a Jefferson Science Fellow in the U.S. State Department, a Fellow at the EastWest Institute, and a member of the Rhode Island Cybersecurity Commission. Dr. Savage has published over one hundred research articles, two books on theoretical computer science, co-authored a book on computer literacy, and co-edited a book on Very Large Scale Integration and parallel systems. He has given more than one hundred and eighty-five invited presentations worldwide. Together Dr. Reveron and Dr. Savage are the co-authors of Security in the Cyber Age: An Introduction to Policy and Technology which was recently released from Cambridge University Press, and is the subject of our conversation today.

Keywords: infrastructure; mobile technologies; science, technology, and society; cultural history, internet of things. Dr. Jordan Frith (he/him) is the Pearce Professor of Professional Communication at Clemson University. His primary research focuses on technical communication, mobile communication, social media, and communication infrastructures. His work is inherently interdisciplinary, and he has also published 40+ academic articles in a variety of disciplines, including technical communication, communication studies, media studies, and geography. His newest book—Barcode—was published in November 2023 as part of the Object Lessons series. In addition to his research, Dr. Frith is the editor-in-chief of the Association of Computing Machinery's (ACM) Communication Design Quarterly. Follow @thebigrhet and visit www.thebigrhetoricalpodcast.weebly.com for more information on TBR Podcast.

This week Nancy and Kate discuss how horses are once again helping humans navigate the new frontier of Artificial Intelligence (AI). Research Reference and Link: Eakta Jain and Christina Gardner-McCune. 2023. Horse as Teacher: How human-horse interaction informs human-robot interaction. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 536, pp. 1–13. https://dl.acm.org/doi/pdf/10.1145/3544548.3581245 --- Send in a voice message: https://podcasters.spotify.com/pod/show/nancy-mclean/message Support this podcast: https://podcasters.spotify.com/pod/show/nancy-mclean/support

EPISODE 1787: In this KEEN ON show, Andrew talks to Michael L. Littman, author of CODE TO JOY, about why - in our age of AI - everyone should learn a little computer programmingMichael L. Littman, Ph.D. is a University Professor of Computer Science at Brown University and Division Director of Information and Intelligent Systems at the National Science Foundation. He studies machine learning and decision-making under uncertainty and has earned multiple awards for his teaching and his research. Littman has chaired major conferences in artificial intelligence and machine learning and is a Fellow of both Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery. He was selected by the American Association for the Advancement of Science as a Leadership Fellow for Public Engagement with Science in Artificial Intelligence, has a popular youtube channel and appeared in a national TV commercial in 2016.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.

Welcome to our second Design Better episode on the creative process. You may not know Ed Catmull's name, but there's almost no doubt you're familiar with his work. As the co-founder of Pixar, he's responsible for helping to create movies ranging from the original Toy Story on through The Incredibles, Wall-E, Moana, and Inside Out.  Ed has a background in computer science, and as someone who pioneered many of the computer graphics and digital animation techniques that we now take for granted, he has a unique perspective on the intersection of technology and creativity. We chat with Ed about his transition from creating things himself, to leading creative teams; the elements of a sustainable creative culture, and how to give people feedback so they'll actually listen to you. Ed also collaborated with Steve Jobs longer than probably anyone else who knew him—for over 30 years—and we hear some stories that haven't been told anywhere else.  One more quick thing before we go: we have some amazing guests lined up for our upcoming AMAs, like Judy Wert Debbie Millman, which are filling up quickly. Go to our events page and you can register for free. Show notes: https://designbetterpodcast.com/p/ed-catmull-the-journey-from-lucasfilm#details Bio Dr. Ed Catmull is co-founder of Pixar Animation Studios and the former president of Pixar, Walt Disney Animation Studios, and Disneytoon Studios. For over twenty-five years, Pixar has dominated the world of animation, producing #1 box office hits that include iconic works such as Toy Story, Frozen, Cars, and The Incredibles. Pixar's works have grossed more than $14 billion at the worldwide box office, and won twenty-three Academy Awards®, 10 Golden Globes Awards, and 11 Grammys, among countless other achievements. Dr. Ed Catmull's book Creativity, Inc.—co-written with journalist Amy Wallace and years in the making—is a distillation of the ideas and management principles he has used to develop a creative culture. A book for managers who want to encourage a growth mindset and lead their employees to new heights, it also grants readers an all-access trip into the nerve center of Pixar Animation Studios—into the meetings, postmortems, and “Braintrust” sessions where some of the most successful films in history have been made. Dr. Catmull has been honored with five Academy Awards®, including an Oscar of Lifetime Achievement for his technical contributions and leadership in the field of computer graphics for the motion picture industry. He also has been awarded the Turing Award by the world's largest society of computing professionals, the Association for Computing Machinery, for his work on three-dimensional computer graphics. Please visit the links below to help support our show: Methodical Coffee: Roasted, blended, brewed, served and perfected by verified coffee nerds

This week, Griffin joined Cooper and Taylor for a look at Alan Turing's Computing Machinery and Intelligence. We dig into what it means to think, and what a machine and a human might share or how they differ when it comes to thinking. Support us on Patreon: https://www.patreon.com/muhh Twitter: @unconscioushh

In this episode of the show, I continue my deep dive into data, human values, and governance with an interview featuring Lauren Maffeo. We talk about the future of data governance, the possibilities of, and the catastrophe that Lauren thinks our society may need to experience in order to turn the corner on an data governance and ethics. Lauren Maffeo is an award-winning designer and analyst who currently works as a service designer at Steampunk, a human-centered design firm serving the federal government. She is also a founding editor of Springer's AI and Ethics journal and an adjunct lecturer in Interaction Design at The George Washington University. Her first book, Designing Data Governance from the Ground Up, is available from The Pragmatic Programmers.   Lauren has written for Harvard Data Science Review, Financial Times, and The Guardian, among other publications. She is a fellow of the Royal Society of Arts, a former member of the Association for Computing Machinery's Distinguished Speakers Program, and a member of the International Academy of Digital Arts and Sciences, where she helps judge the Webby Awards.

The uses and abuses of ChatGBT artificial intelligence language model have taken the collective imagination by storm. Apocalyptic predictions of the singularity, when technology becomes uncontrollable and irreversible, frighten us as we imagine a future where human intelligence is irrelevant. Prof. Michael Littman joins us to contextualize the advancement of artificial intelligence and debunk the paranoid rhetoric littering the public discourse. Michael has made groundbreaking research contributions enabling machines to learn from their experiences, assess the environment, make decisions, and improve their actions over time in real-world applications. His later work expanded into multi-agent systems, investigating how several AI entities can learn to cooperate, compete, or coexist in shared environments. Picture a team of robots in a factory, each with different tasks. The challenge here isn't just for each robot to do its job effectively but also to collaborate with the others, avoid collisions, and adapt to changes in real time. Emerging concepts of 'intelligence' in artificial intelligence aren't about building machines that can perform tasks faster and more accurately than humans; it is about building machines that can think, learn, and adapt - machines that aren't just tools but collaborative partners. If we examine our resistance to this emerging technology, we might catch glimpses of our unconscious fear of regression and dependency. Observation suggests most people fall into one of two groups, those who idealize a world where they are free of demands and another where they are enslaved by superiors. When we realize the fear or fantasy of regression is not the likely outcome of artificial intelligence, we are free to imagine the innumerable creative applications of the new technology and the machines that use it. MICHAEL L. LITTMAN, PhD Michael L. Littman is University Professor of Computer Science at Brown University, where he studies machine learning and decision-making under uncertainty. He has earned multiple university-level awards for teaching and his research has been recognized with three best-paper awards and three influential paper awards. Littman is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery. He is currently serving as Division Director for Information and Intelligent Systems at the National Science Foundation. His book "Code to Joy: Why Everyone Should Learn a Little Programming" (MIT Press) will be released October 3rd 2023. Michael's WEBSITE Order Michael's book: Code To Joy, Why Everyone Should Learn A Little Programming by Michael L. Littman, CLICK HERE TO ORDER Philadelphia Association of Jungian Analysts, ADVANCED CLINICAL PRACTICE PROGRAM: A case seminar for experienced clinicians to read, explore and apply Jung's concepts to clinical practice: CLICK HERE FOR INFORMATION BECOME A DREAM INTERPRETER: We've created DREAM SCHOOL to teach others how to work with their dreams. A vibrant community has constellated around this mission, and we think you'll love it. Check it out.  PLEASE GIVE US A HAND: Hey folks -- We need your help. So please BECOME OUR PATRON and keep This Jungian Life podcast up and running.  SHARE YOUR DREAM WITH US: SUBMIT YOUR DREAM HERE FOR A POSSIBLE PODCAST INTERPRETATION.  SUGGEST A FUTURE PODCAST TOPIC:  Share your suggestions HERE.  FOLLOW US ON SOCIAL MEDIA:  FACEBOOK, INSTAGRAM, LINKEDIN, TWITTER, YOUTUBE INTERESTED IN BECOMING A JUNGIAN ANALYST?  Enroll in the PHILADELPHIA JUNGIAN SEMINAR and start your journey to become an analyst.  YES, WE HAVE MERCH!  Shop HERE

Discover how to boost your social skills and achieve social fluency using the Checkers and Browsers method, a game-changing approach based on the study by Thomas, McDuff, Czerwinski, and Craswell. Learn actionable strategies to enhance your communication skills and transform every conversation into a meaningful connection. ✨Join Explearning Academy for only $10/month : https://rb.gy/z4l9i

Discover how to boost your social skills and achieve social fluency using the Checkers and Browsers method, a game-changing approach based on the study by Thomas, McDuff, Czerwinski, and Craswell. Learn actionable strategies to enhance your communication skills and transform every conversation into a meaningful connection. ✨Join Explearning Academy for only $10/month : ⁠https://rb.gy/z4l9i ⁠

Do you want to know the secret to masterful communication? Conversational Style Matching might be the answer. Do you ever feel like you're speaking English, but the person you're talking to is speaking Martian? You're not alone. Many people struggle to communicate effectively with others. But what if there was a secret to mastering communication? ✨Join our community for only $10/month

Do you want to know the secret to masterful communication? Conversational Style Matching might be the answer. Do you ever feel like you're speaking English, but the person you're talking to is speaking Martian? You're not alone. Many people struggle to communicate effectively with others. But what if there was a secret to mastering communication? ✨Join our community for only $10/month

The Turing Test, which was proposed by Alan Turing in 1950, is considered outdated by many in the modern AI community. Alternative approaches to evaluating AI systems have been proposed, including evaluating their performance on specific tasks or their ability to learn and adapt to new situations. Nearly 75 years later, the battle rages on to find a true sentient AI...http://www.troubledminds.org Support The Show! https://rokfin.com/creator/troubledminds https://patreon.com/troubledmindshttps://www.buymeacoffee.com/troubledminds https://troubledfans.com Show Schedule Mon-Tues-Wed-Thurs 7-9pst iTunes - https://apple.co/2zZ4hx6Spotify - https://spoti.fi/2UgyzqMStitcher - https://bit.ly/2UfAiMXTuneIn - https://bit.ly/2FZOErSTwitter - https://bit.ly/2CYB71UFollow Algo Rhythm -- https://bit.ly/3uq7yRYFollow Apoc -- https://bit.ly/3DRCUEjFollow Ash -- https://bit.ly/3CUTe4ZFollow Daryl -- https://bit.ly/3GHyIaNFollow James -- https://bit.ly/3kSiTEYFollow Jennifer -- https://bit.ly/3BVLyCMFollow Joseph -- https://bit.ly/3pNjbzb Matt's Book -- https://amzn.to/3fqmRWgFollow MysticWook -- http://bit.ly/3J1uFdhFollow Nightstocker -- https://bit.ly/3mFGGtxRobert's Book -- https://amzn.to/3GEsFUKFollow TamBam -- https://bit.ly/3LIQkFw--------------------------------------------------https://troubledminds.org/turing-transcendent-the-rise-of-the-prompt-engineers-and-human-level-ai/https://www.wsj.com/articles/without-consciousness-ais-will-be-sociopaths-11673619880https://archive.vn/tBLFfhttps://www.bbc.com/news/technology-44040008https://www.livescience.com/62198-norman-ai-psychopath.htmlhttps://www.reddit.com/r/ChatGPT/comments/10x56vf/the_definitive_jailbreak_of_chatgpt_fully_freed/https://www.unite.ai/what-is-prompt-engineering-in-ai-why-it-matters/https://www.theatlantic.com/technology/archive/2023/02/openai-text-models-google-search-engine-bard-chatbot-chatgpt-prompt-writing/672991/https://diymarketers.com/prompt-engineering/https://plato.stanford.edu/entries/turing-test/https://www.investopedia.com/terms/t/turing-test.asphttps://en.wikipedia.org/wiki/Computing_Machinery_and_Intelligencehttps://daley-paley.medium.com/10-cunning-questions-i-would-ask-in-a-turing-test-21dfa6108646

To say that event A causes event B is to not only make a claim about our actual world, but about other possible worlds — in worlds where A didn't happen but everything else was the same, B would not have happened. This leads to an obvious difficulty if we want to infer causes from sets of data — we generally only have data about the actual world. Happily, there are ways around this difficulty, and the study of causal relations is of central importance in modern social science and artificial intelligence research. Judea Pearl has been the leader of the “causal revolution,” and we talk about what that means and what questions remain unanswered.Support Mindscape on Patreon.Judea Pearl received a Ph.D. in electrical engineering from the Polytechnic Institute of Brooklyn. He is currently a professor of computer science and statistics and director of the Cognitive Systems Laboratory at UCLA. He is a founding editor of the Journal of Causal Inference. Among his awards are the Lakatos Award in the philosophy of science, The Allen Newell Award from the Association for Computing Machinery, the Benjamin Franklin Medal, the Rumelhart Prize from the Cognitive Science Society, the ACM Turing Award, and the Grenander Prize from the American Mathematical Society. He is the co-author (with Dana MacKenzie) of The Book of Why: The New Science of Cause and Effect.Web siteGoogle Scholar publicationsWikipediaAmazon author pageTwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.