Tech, Innovation & Society - The Creative Process: Technology, AI, Software, Future, Economy, Science, Engineering & Robotics Interviews

“There's something raw about The Architecture of Oppression, both part one and part two. There's a raw realness and authenticity in those songs that AI can't create. There's a lived experience that AI won't understand, and there's a feeling in those songs. And it's not just in the words from the spoken word artists, if it's not in the instruments that are being played. It's in the voice that you hear. You hear the pain, you hear the struggle, you hear the joy, you hear all of those emotions in all of those songs. And that's something that AI can't make up or create.”Jake Ferguson is an award-winning musician known for his work with The Heliocentrics and as a solo artist under the name The Brkn Record. Alongside legendary drummer Malcolm Catto, Ferguson has composed two film scores and over 10 albums, collaborating with icons like Archie Shepp, Mulatu Astatke, and Melvin Van Peebles. His latest album is The Architecture of Oppression Part 2. The album also features singer and political activist Jermain Jackman, a former winner of The Voice (2014) and the T.S. Eliot Prize winning poet and musician, Anthony Joseph.“I think as humans, we forget. We are often limited by our own stereotypes, and we don't see that in everyone there's the potential for beauty and love and all these things. And I think The Architecture of Oppression, both parts one and two, are really a reflection of all the community and civil rights work that I've been doing for the same amount of time, really - 25 years. And I wanted to try and mix my day job and my music side, so bringing those two sides of my life together. I wanted to create a platform for black artists, black singers, and poets who I really admire. Jermain is somebody I've worked with for probably about six, seven years now. He's also in the trenches of the black civil rights struggle. We worked together on a number of projects, but it was very interesting to then work with Jemain in a purely artistic capacity. And it was a no-brainer to give Anthony a call for this second album because I know of his pedigree, and he's much more able to put ideas and thoughts on paper than I would be able to.”www.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

“Having worked in this space for seven years, really since the inception of DeepFakes in late 2017, for some time, it was possible with just a few hours a day to really be on top of the key kind of technical developments. It's now truly global. AI-generated media have really exploded, particularly the last 18 months, but they've been bubbling under the surface for some time in various different use cases. The disinformation and deepfakes in the political sphere really matches some of the fears held five, six years ago, but at the time were more speculative. The fears around how deepfakes could be used in propaganda efforts, in attempts to destabilize democratic processes, to try and influence elections have really kind of reached a fever pitch  Up until this year, I've always really said, “Well, look, we've got some fairly narrow examples of deepfakes and AI-generated content being deployed, but it's nowhere near on the scale or the effectiveness required to actually have that kind of massive impact.” This year, it's no longer a question of are deepfakes going to be used, it's now how effective are they actually going to be? I'm worried. I think a lot of the discourse around gen AI and so on is very much you're either an AI zoomer or an AI doomer, right? But for me, I don't think we need to have this kind of mutually exclusive attitude. I think we can kind of look at different use cases. There are really powerful and quite amazing use cases, but those very same baseline technologies can be weaponized if they're not developed responsibly with the appropriate safety measures, guardrails, and understanding from people using and developing them. So it is really about that balancing act for me. And a lot of my research over the years has been focused on mapping the evolution of AI generated content as a malicious tool.”Henry Ajder is an advisor, speaker, and broadcaster working at the frontier of the generative AI and the synthetic media revolution. He advises organizations on the opportunities and challenges these technologies present, including Adobe, Meta, The European Commission, BBC, The Partnership on AI, and The House of Lords. Previously, Henry led Synthetic Futures, the first initiative dedicated to ethical generative AI and metaverse technologies, bringing together over 50 industry-leading organizations. Henry presented the BBC documentary series, The Future Will be Synthesised.www.henryajder.comwww.bbc.co.uk/programmes/m0017cgrwww.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

How is artificial intelligence redefining our perception of reality and truth? Can AI be creative? And how is it changing art and innovation? Does AI-generated perfection detach us from reality and genuine human connection?Henry Ajder is an advisor, speaker, and broadcaster working at the frontier of the generative AI and the synthetic media revolution. He advises organizations on the opportunities and challenges these technologies present, including Adobe, Meta, The European Commission, BBC, The Partnership on AI, and The House of Lords. Previously, Henry led Synthetic Futures, the first initiative dedicated to ethical generative AI and metaverse technologies, bringing together over 50 industry-leading organizations. Henry presented the BBC documentary series, The Future Will be Synthesised.“Having worked in this space for seven years, really since the inception of DeepFakes in late 2017, for some time, it was possible with just a few hours a day to really be on top of the key kind of technical developments. It's now truly global. AI-generated media have really exploded, particularly the last 18 months, but they've been bubbling under the surface for some time in various different use cases. The disinformation and deepfakes in the political sphere really matches some of the fears held five, six years ago, but at the time were more speculative. The fears around how deepfakes could be used in propaganda efforts, in attempts to destabilize democratic processes, to try and influence elections have really kind of reached a fever pitch  Up until this year, I've always really said, “Well, look, we've got some fairly narrow examples of deepfakes and AI-generated content being deployed, but it's nowhere near on the scale or the effectiveness required to actually have that kind of massive impact.” This year, it's no longer a question of are deepfakes going to be used, it's now how effective are they actually going to be? I'm worried. I think a lot of the discourse around gen AI and so on is very much you're either an AI zoomer or an AI doomer, right? But for me, I don't think we need to have this kind of mutually exclusive attitude. I think we can kind of look at different use cases. There are really powerful and quite amazing use cases, but those very same baseline technologies can be weaponized if they're not developed responsibly with the appropriate safety measures, guardrails, and understanding from people using and developing them. So it is really about that balancing act for me. And a lot of my research over the years has been focused on mapping the evolution of AI generated content as a malicious tool.”www.henryajder.comwww.bbc.co.uk/programmes/m0017cgrwww.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

In this episode of the Speaking Out of Place podcast Professor David Palumbo-Liu talks with acclaimed author and activist, and San Francisco legend, Chris Carlsson about his new novel, When Shells Crumble. It begins in December 2024, when the US Supreme Court nullifies the popular vote in the Presidential election and awards the presidency to an authoritarian Republican, who proceeds to demolish democracy and install a fascistic state that hastens ecological havoc. The novel is much more than your usual dystopian tale—it focuses on how to resist political cynicism and defeatism, and rebuild on planetary wreckage. It is a world-building project filled with wisdom, sadness, and joy. We specifically put this fictional text in conservation with his brilliant non-fiction work, Nowtopia, which offers a radical redefinition of “work” that restores dignity and value to their proper places.Chris Carlsson, co-director of the “history from below” project Shaping San Francisco, is a writer, publisher, editor, photographer, public speaker, and occasional professor. He was one of the founders in 1981 of the seminal and infamous underground San Francisco magazine Processed World. In 1992 Carlsson co-founded Critical Mass in San Francisco, which both led to a local bicycling boom and helped to incubate transformative urban movements in hundreds of cities, large and small, worldwide. In 1995 work began on “Shaping San Francisco;” since then the project has morphed into an incomparable archive of San Francisco history at Foundsf.org, award-winning bicycle and walking tours, and almost two decades of Public Talks covering history, politics, ecology, art, and more (see shapingsf.org). Beginning in Spring 2020, Carlsson has hosted Bay Cruises along the San Francisco shoreline.His latest novel, When Shells Crumble was published by Spuyten Duyvil in Brooklyn, NY at the end of 2023. At the dawn of the pandemic, he published a detailed historical guidebook of the city, Hidden San Francisco: A Guide to Lost Landscapes, Unsung Heroes, and Radical Histories (Pluto Press: 2020). His full-length nonfiction work Nowtopia(AK Press: 2008), offers a groundbreaking look at class and work while uniquely examining how hard and pleasantly we work when we’re not at our official jobs. He published his first novel, After The Deluge, in 2004, a story of post-economic utopian San Francisco in the year 2157. He has edited six books, including three “Reclaiming San Francisco” collections with the venerable City Lights Books. He redesigned and co-authored an expanded Vanished Waters: A History of San Francisco’s Mission Bay after which he joined the board of the Mission Creek Conservancy. He has given hundreds of public presentations based on Shaping San Francisco, Critical Mass, Nowtopia, Vanished Waters, and his “Reclaiming San Francisco” history anthologies since the late 1990s, and has appeared dozens of times in radio, television and on the internet.www.palumbo-liu.comhttps://speakingoutofplace.comhttps://twitter.com/palumboliu?s=20www.instagram.com/speaking_out_of_place

“When AI takes over with our information sources and pollutes it to a certain point, we'll stop believing that there is any such thing as truth anymore. ‘We now live in an era in which the truth is behind a paywall  and the lies are free.’ One thing people don't realize is that the goal of disinformation is not simply to get you to believe a falsehood. It's to demoralize you into giving up on the idea of truth, to polarize us around factual issues, to get us to distrust people who don't believe the same lie. And even if somebody doesn't believe the lie, it can still make them cynical. I mean, we've all had friends who don't even watch the news anymore. There's a chilling quotation from Holocaust historian Hannah Arendt about how when you always lie to someone, the consequence is not necessarily that they believe the lie, but that they begin to lose their critical faculties, that they begin to give up on the idea of truth, and so they can't judge for themselves what's true and what's false anymore. That's the scary part, the nexus between post-truth and autocracy. That's what the authoritarian wants. Not necessarily to get you to believe the lie. But to give up on truth, because when you give up on truth, then there's no blame, no accountability, and they can just assert their power. There's a connection between disinformation and denial.”Lee McIntyre is a Research Fellow at the Center for Philosophy and History of Science at Boston University and a Senior Advisor for Public Trust in Science at the Aspen Institute. He holds a B.A. from Wesleyan University and a Ph.D. in Philosophy from the University of Michigan. He has taught philosophy at Colgate University, Boston University, Tufts Experimental College, Simmons College, and Harvard Extension School (where he received the Dean’s Letter of Commendation for Distinguished Teaching). Formerly Executive Director of the Institute for Quantitative Social Science at Harvard University, he has also served as a policy advisor to the Executive Dean of the Faculty of Arts and Sciences at Harvard and as Associate Editor in the Research Department of the Federal Reserve Bank of Boston. His books include On Disinformation and How to Talk to a Science Denier and the novels The Art of Good and Evil and The Sin Eater.https://leemcintyrebooks.comwww.penguinrandomhouse.com/books/730833/on-disinformation-by-lee-mcintyrehttps://mitpress.mit.edu/9780262545051/https://leemcintyrebooks.com/books/the-art-of-good-and-evil/https://leemcintyrebooks.com/books/the-sin-eater/www.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

How do we fight for truth and protect democracy in a post-truth world? How does bias affect our understanding of facts?Lee McIntyre is a Research Fellow at the Center for Philosophy and History of Science at Boston University and a Senior Advisor for Public Trust in Science at the Aspen Institute. He holds a B.A. from Wesleyan University and a Ph.D. in Philosophy from the University of Michigan. He has taught philosophy at Colgate University, Boston University, Tufts Experimental College, Simmons College, and Harvard Extension School (where he received the Dean’s Letter of Commendation for Distinguished Teaching). Formerly Executive Director of the Institute for Quantitative Social Science at Harvard University, he has also served as a policy advisor to the Executive Dean of the Faculty of Arts and Sciences at Harvard and as Associate Editor in the Research Department of the Federal Reserve Bank of Boston. His books include On Disinformation and How to Talk to a Science Denier and the novels The Art of Good and Evil and The Sin Eater.“When AI takes over with our information sources and pollutes it to a certain point, we'll stop believing that there is any such thing as truth anymore. ‘We now live in an era in which the truth is behind a paywall  and the lies are free.’ One thing people don't realize is that the goal of disinformation is not simply to get you to believe a falsehood. It's to demoralize you into giving up on the idea of truth, to polarize us around factual issues, to get us to distrust people who don't believe the same lie. And even if somebody doesn't believe the lie, it can still make them cynical. I mean, we've all had friends who don't even watch the news anymore. There's a chilling quotation from Holocaust historian Hannah Arendt about how when you always lie to someone, the consequence is not necessarily that they believe the lie, but that they begin to lose their critical faculties, that they begin to give up on the idea of truth, and so they can't judge for themselves what's true and what's false anymore. That's the scary part, the nexus between post-truth and autocracy. That's what the authoritarian wants. Not necessarily to get you to believe the lie. But to give up on truth, because when you give up on truth, then there's no blame, no accountability, and they can just assert their power. There's a connection between disinformation and denial.”https://leemcintyrebooks.comwww.penguinrandomhouse.com/books/730833/on-disinformation-by-lee-mcintyrehttps://mitpress.mit.edu/9780262545051/https://leemcintyrebooks.com/books/the-art-of-good-and-evil/https://leemcintyrebooks.com/books/the-sin-eater/www.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

Guest Stephen Wolfram, expert in computational irreducibility, discusses how computational irreducibility challenges the hope of mathematical science in predicting outcomes, emphasizing the meaningful effect of time. Topics include connections between philosophy and science, evolution of AI, impact of automation on decision-making, computational thinking, and human language accessibility to automation.

How can computational language help decode the mysteries of nature and the universe? What is ChatGPT doing and why does it work? How will AI affect education, the arts and society?Stephen Wolfram is a computer scientist, mathematician, and theoretical physicist. He is the founder and CEO of Wolfram Research, the creator of Mathematica, Wolfram|Alpha, and the Wolfram Language. He received his PhD in theoretical physics at Caltech by the age of 20 and in 1981, became the youngest recipient of a MacArthur Fellowship. Wolfram authored A New Kind of Science and launched the Wolfram Physics Project. He has pioneered computational thinking and has been responsible for many discoveries, inventions and innovations in science, technology and business.“I think one very big example of this phenomenon is the computational irreducibility. This idea that even though you know the rules by which something operates, that doesn't immediately tell you everything about what the system will do. You might have to follow a billion steps in the actual operation of those rules to find out what the system does.There's no way to jump ahead and just say, "the answer will be such and such." Well, computational irreducibility, in a sense, goes against the hope, at least, of, for example, mathematical science. A lot of the hope of mathematical science is that we'll just work out a formula for how something is going to operate. We don't have to kind of go through the steps and watch it operate. We can just kind of jump to the end and apply the formula. Well, computational irreducibility says that that isn't something you can generally do. It says that there are plenty of things in the world where you have to kind of go through the steps to see what will happen.In a sense, even though that's kind of a bad thing for science, it says that there's sort of limitations on the extent to which we can use science to predict things. It's sort of a good thing, I think, for leading one's life because it means that as we experience the passage of time, in a sense, that corresponds to the sort of irreducible computation of what we will do.It's something where that sort of tells one that the passage of time has a meaningful effect. There's something that where you can't just jump to the end and say, "I don't need to live all the years of my life. I can just go and say, and the result will be such and such." No, actually, there's something sort of irreducible about that actual progression of time and the actual living of those years of life, so to speak. So that's kind of one of the enriching aspects of this concept of computational irreducibility. It's a pretty important concept. It's something which I think, for example, in the future of human society, will be something where people right now will think of it as this kind of geeky scientific idea, but in the future, it's going to be a pivotal kind of thing for the understanding of how one should conduct the future of human society.”www.stephenwolfram.comwww.wolfram.comwww.wolframalpha.comwww.wolframscience.com/nks/www.amazon.com/dp/1579550088/ref=nosim?tag=turingmachi08-20www.wolframphysics.orgwww.wolfram-media.com/products/what-is-chatgpt-doing-and-why-does-it-work/www.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

“Generative AI, particularly Large Language Models, they seem to be engaging in conversation with us. We ask questions, and they reply. It seems like they're talking to us. I don't think they are. I think they're playing a game very much like a game of chess. You make a move and your chess computer makes an appropriate response to that move. It doesn't have any other interest in the game whatsoever. That's what I think Large Language Models are doing. They're just making communicative moves in this game of language that they've learned through training on vast quantities of human-produced text.”Keith Frankish is an Honorary Professor of Philosophy at the University of Sheffield, a Visiting Research Fellow with The Open University, and an Adjunct Professor with the Brain and Mind Programme in Neurosciences at the University of Crete. Frankish mainly works in the philosophy of mind and has published widely about topics such as human consciousness and cognition. Profoundly inspired by Daniel Dennett, Frankish is best known for defending an “illusionist” view of consciousness. He is also editor of Illusionism as a Theory of Consciousness and co-edits, in addition to others, The Cambridge Handbook of Cognitive Science.www.keithfrankish.comwww.cambridge.org/core/books/cambridge-handbook-of-cognitive-science/F9996E61AF5E8C0B096EBFED57596B42www.imprint.co.uk/product/illusionismwww.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

Is consciousness an illusion? Is it just a complex set of cognitive processes without a central, subjective experience? How can we better integrate philosophy with everyday life and the arts?Keith Frankish is an Honorary Professor of Philosophy at the University of Sheffield, a Visiting Research Fellow with The Open University, and an Adjunct Professor with the Brain and Mind Programme in Neurosciences at the University of Crete. Frankish mainly works in the philosophy of mind and has published widely about topics such as human consciousness and cognition. Profoundly inspired by Daniel Dennett, Frankish is best known for defending an “illusionist” view of consciousness. He is also editor of Illusionism as a Theory of Consciousness and co-edits, in addition to others, The Cambridge Handbook of Cognitive Science.“Generative AI, particularly Large Language Models, they seem to be engaging in conversation with us. We ask questions, and they reply. It seems like they're talking to us. I don't think they are. I think they're playing a game very much like a game of chess. You make a move and your chess computer makes an appropriate response to that move. It doesn't have any other interest in the game whatsoever. That's what I think Large Language Models are doing. They're just making communicative moves in this game of language that they've learned through training on vast quantities of human-produced text.”www.keithfrankish.comwww.cambridge.org/core/books/cambridge-handbook-of-cognitive-science/F9996E61AF5E8C0B096EBFED57596B42www.imprint.co.uk/product/illusionismwww.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast