Podcasts about human values

Harry (Rick) Moody, Ph.D. retired as Vice President for Academic Affairs with AARP and is currently Visiting Faculty in the Creative Longevity and Wisdom Program at Fielding Graduate University and Visiting Professor at Tohoku University in Japan.He is the author of many scholarly articles and books. He is editor of the Human Values in Aging newsletter, with 5,000 subscribers monthly. His new book, Climate Change in an Aging Society, was published this year by Routledge.

Send us a textIn this episode, we delve into the transformative journey of artificial intelligence and its profound impact on job markets worldwide. From automation to innovation, AI is reshaping industries, creating new opportunities, and challenging traditional employment paradigms. Join us as we explore how AI is redefining work, the skills needed for the future, and the balance between technological advancement and human potential. Tune in to understand the dynamics of this AI-driven era and what it means for the workforce of tomorrow.00:00 The Journey of Persistence02:46 The Importance of Personal Branding05:04 Navigating the AI Landscape10:26 The Future of Work and AI Displacement15:42 Ethics and Governance in AI20:54 The Power and Risks of AI Technology25:32 The Complexity of AI Threats29:14 The AI Arms Race32:52 Human Value in an AI-Driven World37:35 The Reliability of AI as a Fact Checker39:56 Understanding AI Bias and Transparency47:49 Navigating AI Governance and SecurityFollow the Podcast on Social Media!Tesla Referral Code: https://ts.la/joseph675128YouTube:    / @securityunfilteredpodcast  Instagram:   / @secunfpodcast  Twitter:   / @secunfpodcastSupport the showFollow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcast

Many people have no idea why they think, act, and react the way they do, but the truth is, your decisions are likely shaped by your current “value level”. William breaks down the 8 distinct levels of human values, from basic survival to global legacy, and reveals how each stage shapes your mindset, filters your reality, and influences your success. You'll see why understanding these levels is essential for evolving your identity, aligning your strategy, and creating the results you actually want.Chapters(00:00) Introduction(04:55) Level 1: Survival & Safety(07:40) Level 2: Tribe & Belonging(11:22) Level 3: Power & Independence(13:37) Level 4: Discipline & Systematic Success(16:37) Level 5: Freedom & Innovation(20:05) Level 6: Unity & Contribution(23:25) Level 7: Integration & Flow(24:38) Level 8: Legacy & Global ImpactTake the Loop Quiz: https://loop.upgrd.com/ Learn more at ⁠⁠⁠⁠https://upgrd.comFollow us on Instagram at https://www.instagram.com/theupgrd

"I don't have the energy to control other people's perception of me."In this episode, we talked about building an agency from scratch, embracing cultural identity, using humor to connect, and redefining success on her own terms, in particular:

Beyond the "Final Answer": Why AI Demands a New Human Mindset The air is thick with predictions about Artificial Intelligence. Will it bring universal prosperity or mass unemployment? Will it solve our biggest problems or create new, unimaginable ones? We're all looking for the "final answer," a definitive outcome to this technological revolution

What can be gained from looking back now at the pandemic response during COVID? What would a “postmortem” tell us about how policies were designed and how scientific discussions played out? Stephen Macedo is a professor of politics at Princeton University, as well as at the University Center for Human Values, and the author of several books including Greg and Stephen discuss the decision-making flaws during the COVID-19 pandemic, the lack of robust debate, the role of public health experts, and the increasing influence of partisanship. Stephen explores the potential long-term implications for democracy and science, the concept of noble lies, and the necessity of balancing expert advice with broader public interests. Their conversation also touches on the importance of liberal virtues and the need for both improved decision-making structures and individual adherence to professional ethics.*unSILOed Podcast is produced by University FM.*Episode Quotes:When public health crowds out public values09:52: The public health mindset is that you only pay attention to reducing disease, and so public health experts had too much power. Wider decision-making should have been made by people looking at the whole range of public values, not just disease reduction or attempts to reduce disease. So, the many things that came together—but we regard the book as a window onto the state of our democracy, and in a way, our—you know—the dangers of our epistemic tribalism, to put it that way. The degraded state of deliberation in our country.How epistemic bubbles are making us dumber50:57: We are making ourselves stupider by being ensconced in these epistemic bubbles. We are undermining our own capacity for critical thought by not being more open to disagreement.Science can't decide for a democracy alone55:58: We need both more checking of a wide array of elites being involved in thinking, challenging, questioning decisions, but also some way of making sure—possibly through legislative oversight, House of Representatives being involved. The public voices need to be heard as well because they bear the cost of these—need to be heard as well because they bear the cost of these measures. And as we said before, science is not going to make these decisions for us. There are value judgments involved, and it is the people's value judgments that matter to some degree of risk tolerance…[56:35] We need more checking and balancing in these kinds of decisions that affect the public as a whole, and more open debate, discussion, more tolerance of disagreement—including, or maybe even especially, coming from the partisan other, as it were.Science needs scrutiny, not censorship14:17: We need empirical inquiry to test the assumptions behind these particular policies and assumptions—not censorship in advance of evidence that might be unwelcome with respect to, you know, certain kinds of policy claims. So, I think there's a wider politicization of science. I do think we need more viewpoint diversity in the academy, and people say, "Wasn't this the code word for having more conservatives?" And I'll say, yes. I think we're a bit too far out of balance. We should not reflect the American public—I mean, that's not the aim—but I think we do not take seriously enough, reasonable concerns coming from the other side of the political spectrum. So, it's a long-winded answer to your question, but I think the COVID experience is emblematic and indicative of a wider problem and deeper problem.Show Links:Recommended Resources:David HalberstamGraham AllisonNeil FergusonDavid ZweigFrancis CollinsAnthony FauciSandro GaleaStephen HaberJohn IoannidisScott AtlasDeborah BirxAlasdair MacIntyreCharles TaylorThe Federalist PapersJohn LockeAdam SmithConsequentialismBen BernankeThe Great Exception: The New Deal and the Limits of American Politics (Politics and Society in Modern America) by Jefferson CowieInsecure Majorities: Congress and the Perpetual Campaign by Frances E. LeeGuest Profile:Faculty Profile at Princeton UniversityWikipedia PagePrinceton Politics PageSocial Profile on XPhilPeople.org ProfileGuest Work:Amazon Author PageIn Covid's Wake: How Our Politics Failed UsDeliberative Politics: Essays on Democracy and DisagreementDiversity and Distrust: Civic Education in a Multicultural DemocracyAmerican Constitutional InterpretationThe New Right v. the Constitution | CATO Institute

Welcome to The Productization Imperative, hosted by AI Paradigm Researcher and Knowledge Productization Architect, Donald Adeniji. In an age where AI reshapes reality, this podcast cuts through the hype to reveal the true currency of the future: Productized Human Intelligence. Discover how to transform your unique expertise into structured, monetizable assets that machines pay to access and humans pay to hear. Learn to shift your mindset, own your narrative, and secure your value in the AI-first world. This is your blueprint for thriving in the next millennial economy.

What's the real opportunity AI presents for workplace learning, and how can L&D teams avoid just doing the same things faster? In this episode, we're joined by David Kelly, CEO of The Learning Guild and a respected voice at the intersection of learning and technology. David unpacks what AI really means for learning, why empathy and creativity are more important than ever, and how L&D can lean into the future - without losing what makes us human. Ep. 70 Brought to you by Elucidat.  Want more insights? Get the latest tips, expert advice, and best practices from top L&D leaders - delivered straight to your inbox. The Learning at Large newsletter brings you monthly insider content to help you create and scale impactful learning. Subscribe now and never miss an edition!

When we think of the capacities that distinguish humans from other species, we generally turn to intelligence and its byproducts, including our technological prowess. But our intelligence is highly connected to our ability to use language, which is in turn closely related to our capacities as social creatures. Philosopher Philip Pettit would encourage us to think of those social capacities, as enabled by language, as the primary locus of what makes humans different, as discussed in his new book When Minds Converse: A Social Genealogy of the Human Soul. And that linguistic aptitude helps us understand the nature of agency, responsibility, and freedom.Blog post with transcript: https://www.preposterousuniverse.com/podcast/2025/07/21/322-philip-pettit-on-language-agency-politics-and-freedom/Support Mindscape on Patreon.Philip Pettit received his Ph.D. in philosophy from University College Belfast. He is currently Laurance S. Rockefeller University Professor of Human Values at Princeton University and Distinguished University Professor of Philosophy at Australian National University. He is a Fellow of the Academy of Social Sciences in Australia, the Australian Academy of the Humanities, the American Academy of Arts and Sciences, and the Guggenheim Foundation, among other honors.Princeton web pageGoogle Scholar publicationsWikipediaAmazon author pageSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Benjamin Mann is a co-founder of Anthropic, an AI startup dedicated to building aligned, safety-first AI systems. Prior to Anthropic, Ben was one of the architects of GPT-3 at OpenAI. He left OpenAI driven by the mission to ensure that AI benefits humanity. In this episode, Ben opens up about the accelerating progress in AI and the urgent need to steer it responsibly.In this conversation, we discuss:1. The inside story of leaving OpenAI with the entire safety team to start Anthropic2. How Meta's $100M offers reveal the true market price of top AI talent3. Why AI progress is still accelerating (not plateauing), and how most people misjudge the exponential4. Ben's “economic Turing test” for knowing when we've achieved AGI—and why it's likely coming by 2027-20285. Why he believes 20% unemployment is inevitable6. The AI nightmare scenarios that concern him most—and how he believes we can still avoid them7. How focusing on AI safety created Claude's beloved personality8. What three skills he's teaching his kids instead of traditional academics—Brought to you by:Sauce—Turn customer pain into product revenue: https://sauce.app/lennyLucidLink—Real-time cloud storage for teams: https://www.lucidlink.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lenny—Transcript: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/168107911/my-biggest-takeaways-from-this-conversation—Where to find Ben Mann:• X: https://x.com/8enmann• LinkedIn: https://www.linkedin.com/in/benjamin-mann/• Website: https://benjmann.net/—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) Introduction to Benjamin(04:43) The AI talent war(06:28) AI progress and scaling laws(10:50) Defining AGI and the economic Turing test(12:26) The impact of AI on jobs(17:45) Preparing for an AI future(24:05) Founding Anthropic(27:06) Balancing AI safety and progress(29:10) Constitutional AI and model alignment(34:21) The importance of AI safety(43:40) The risks of autonomous agents(45:40) Forecasting superintelligence(48:36) How hard is it to align AI?(53:19) Reinforcement learning from AI feedback (RLAIF)(57:03) AI's biggest bottlenecks(01:00:11) Personal reflections on responsibilities(01:02:36) Anthropic's growth and innovations(01:07:48) Lightning round and final thoughts—Referenced:• Dario Amodei on LinkedIn: https://www.linkedin.com/in/dario-amodei-3934934/• Anthropic CEO: AI Could Wipe Out 50% of Entry-Level White Collar Jobs: https://www.marketingaiinstitute.com/blog/dario-amodei-ai-entry-level-jobs• Alexa+: https://www.amazon.com/dp/B0DCCNHWV5• Azure: https://azure.microsoft.com/• Sam Altman on X: https://x.com/sama• Opus 3: https://www.anthropic.com/news/claude-3-family• Claude's Constitution: https://www.anthropic.com/news/claudes-constitution• Greg Brockman on X: https://x.com/gdb• Anthropic's Responsible Scaling Policy: https://www.anthropic.com/news/anthropics-responsible-scaling-policy• Agentic Misalignment: How LLMs could be insider threats: https://www.anthropic.com/research/agentic-misalignment• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• AI prompt engineering in 2025: What works and what doesn't | Sander Schulhoff (Learn Prompting, HackAPrompt): https://www.lennysnewsletter.com/p/ai-prompt-engineering-in-2025-sander-schulhoff• Unitree: https://www.unitree.com/• Arthur C. Clarke: https://en.wikipedia.org/wiki/Arthur_C._Clarke• How Reinforcement Learning from AI Feedback Works: https://www.assemblyai.com/blog/how-reinforcement-learning-from-ai-feedback-works• RLHF: https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback• Jared Kaplan on LinkedIn: https://www.linkedin.com/in/jared-kaplan-645843213/• Moore's law: https://en.wikipedia.org/wiki/Moore%27s_law• Machine Intelligence Research Institute: https://intelligence.org/• Raph Lee on LinkedIn: https://www.linkedin.com/in/raphaeltlee/• “The Last Question”: https://en.wikipedia.org/wiki/The_Last_Question• Beth Barnes on LinkedIn: https://www.linkedin.com/in/elizabethmbarnes/• “The Last Question”: https://en.wikipedia.org/wiki/The_Last_Question• Good Strategy, Bad Strategy | Richard Rumelt: https://www.lennysnewsletter.com/p/good-strategy-bad-strategy-richard• Pantheon on Netflix: https://www.netflix.com/title/81937398• Ted Lasso on AppleTV+: https://tv.apple.com/us/show/ted-lasso/umc.cmc.vtoh0mn0xn7t3c643xqonfzy• Kurzgesagt—In a Nutshell: https://www.youtube.com/channel/UCsXVk37bltHxD1rDPwtNM8Q• 5 tips to poop like a champion: https://8enmann.medium.com/5-tips-to-poop-like-a-champion-3292481a9651—Recommended books:• Superintelligence: Paths, Dangers, Strategies: https://www.amazon.com/Superintelligence-Dangers-Strategies-Nick-Bostrom/dp/0198739834• The Hacker and the State: Cyber Attacks and the New Normal of Geopolitics: https://www.amazon.com/Hacker-State-Attacks-Normal-Geopolitics/dp/0674987551• Replacing Guilt: Minding Our Way: https://www.amazon.com/Replacing-Guilt-Minding-Our-Way/dp/B086FTSB3Q• Good Strategy/Bad Strategy: The Difference and Why It Matters: https://www.amazon.com/Good-Strategy-Bad-Difference-Matters/dp/0307886239• The Alignment Problem: Machine Learning and Human Values: https://www.amazon.com/Alignment-Problem-Machine-Learning-Values/dp/0393635821—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. To hear more, visit www.lennysnewsletter.com

Send us a textRichard Barrett is an internationally recognised authority on organisational leadership, and personal, organisational, and societal transformation. He is the President of the Barrett Academy for the Advancement of Human Values®, and the Founder of the Barrett Values Centre®. His lifetime quest for understanding the deeper motivations of human consciousness led him to study organisational culture, psychology, spirituality and the evolution of societal worldviews. This interdisciplinary approach culminated in developing the Seven Levels of Consciousness Model, known internationally as the Barrett Model.Barrett is an accomplished author, having written 14 books, the most influential of which are “The Values-Driven Organization,” “Evolutionary Coaching,” “The New Leadership Paradigm,” and “A New Psychology of Human Well-Being.” A Few Quotes From This Episode“Knowing your values means you know what's in your heart at the deepest level.”“You can't lead other people if you can't lead yourself.”“The purpose for the soul is simply self-expression.”Resources Mentioned in This Episode Book: Rebalancing Society by MintzbergBook: What My Soul Told Me by Richard BarrettBook: The Nordic Secret by Andersen &  Björkman Humanity Awareness Initiative Barrett Values Centre Richard Barrett's art siteAbout The International Leadership Association (ILA)The ILA was created in 1999 to bring together professionals interested in studying, practicing, and teaching leadership. Plan for Prague - October 15-18, 2025!About  Scott J. AllenWebsiteWeekly Newsletter: Practical Wisdom for LeadersBlogMy Approach to HostingThe views of my guests do not constitute "truth." Nor do they reflect my personal views in some instances. However, they are views to consider, and I hope they help you clarify your perspective. Nothing can replace your reflection, ♻️ Please share with others and follow/subscribe to the podcast!⭐️ Please leave a review on Apple, Spotify, or your platform of choice.➡️ Follow me on LinkedIn for more on leadership, communication, and tech.

Today's returning guest is Laura Hamill, an organizational psychologist who has helped many companies create environments where both employees and the business can thrive. Laura will tell us about her thought-provoking new book, The Power of Culture – Bringing values to life at work. It describes “culture” as the collective set of reasons why employees behave the way they do. Laura suggests that effective leaders support a culture that treats workers with compassion. She says improving a culture starts with spotting patterns in the way people actually behave. And she emphasizes that while culture needs to be aligned with the organization's strategy, it is also important that cultural attributes reflect “human values,” like integrity and kindness. For more see: https://www.linkedin.com/in/laurahamill/recent-activity/all/ And: https://www.simonandschuster.com/books/The-Power-of-Culture/Laura-Hamill/The-Economist-Edge-Series/9781639367283

AI will fundamentally transform science. It will supercharge the research process, making it faster and more efficient and broader in scope. It will make scientists themselves vastly more productive, more objective, maybe more creative. It will make many human participants—and probably some human scientists—obsolete… Or at least these are some of the claims we are hearing these days. There is no question that various AI tools could radically reshape how science is done, and how much science is done. What we stand to gain in all this is pretty clear. What we stand to lose is less obvious, but no less important. My guest today is Dr. Molly Crockett. Molly is a Professor in the Department of Psychology and the University Center for Human Values at Princeton University. In a recent widely-discussed article, Molly and the anthropologist Dr. Lisa Messeri presented a framework for thinking about the different roles that are being imagined for AI in science. And they argue that, when we adopt AI in these ways, we become vulnerable to certain illusions. Here, Molly and I talk about four visions of AI in science that are currently circulating: AI as an Oracle, as a Surrogate, as a Quant, and as an Arbiter. We talk about the very real problems in the scientific process that AI promises to help us solve. We consider the ethics and challenges of using Large Language Models as experimental subjects. We talk about three illusions of understanding the crop up when we uncritically adopt AI into the research pipeline—an illusion that we understand more than we actually do; an illusion that we're covering a larger swath of a research space than we actually are; and the illusion that AI makes our work more objective. We also talk about how ideas from Science and Technology Studies (or STS) can help us make sense of this AI-driven transformation that, like it or no, is already upon us. Along the way Molly and I touch on: AI therapists and AI tutors, anthropomorphism, the culture and ideology of Silicon Valley, Amazon's Mechanical Turk, fMRI, objectivity, quantification, Molly's mid-career crisis, monocultures, and the squishy parts of human experience. Without further ado, on to my conversation with Dr. Molly Crockett. Enjoy!   A transcript of this episode will be posted soon.   Notes and links 5:00 – For more on LLMs—and the question of whether we understand how they work—see our earlier episode with Murray Shanahan. 9:00 – For the paper by Dr. Crockett and colleagues about the social/behavioral sciences and the COVID-19 pandemic, see here.  11:30 – For Dr. Crockett and colleagues' work on outrage on social media, see this recent paper.  18:00 – For a recent exchange on the prospects of using LLMs in scientific peer review, see here. 20:30 – Donna Haraway's essay, 'Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective', is here. See also Dr. Haraway's book, Primate Visions. 22:00 – For the recent essay by Henry Farrell and others on AI as a cultural technology, see here. 23:00 – For a recent report on chatbots driving people to mental health crises, see here. 25:30 – For the already-classic “stochastic parrots” article, see here. 33:00 – For the study by Ryan Carlson and Dr. Crockett on using crowd-workers to study altruism, see here. 34:00 – For more on the “illusion of explanatory depth,” see our episode with Tania Lombrozo. 53:00 – For the more about Ohio State's plans to incorporate AI in the classroom, see here. For a recent essay by Dr. Crockett on the idea of “techno-optimism,” see here.   Recommendations More Everything Forever, by Adam Becker Transformative Experience, by L. A. Paul Epistemic Injustice, by Miranda Fricker   Many Minds is a project of the Diverse Intelligences Summer Institute, which is made possible by a generous grant from the John Templeton Foundation to Indiana University. The show is hosted and produced by Kensy Cooperrider, with help from Assistant Producer Urte Laukaityte and with creative support from DISI Directors Erica Cartmill and Jacob Foster. Our artwork is by Ben Oldroyd. Our transcripts are created by Sarah Dopierala. Subscribe to Many Minds on Apple, Stitcher, Spotify, Pocket Casts, Google Play, or wherever you listen to podcasts. You can also now subscribe to the Many Minds newsletter here! We welcome your comments, questions, and suggestions. Feel free to email us at: manymindspodcast@gmail.com.  For updates about the show, visit our website or follow us on Twitter (@ManyMindsPod) or Bluesky (@manymindspod.bsky.social).

In this thought-provoking episode of Project Synapse, host Jim and his friends Marcel Gagne and John Pinard delve into the complexities of artificial intelligence, especially in the context of cybersecurity. The discussion kicks off by revisiting a blog post by Sam Altman about reaching a 'Gentle Singularity' in AI development, where the progress towards artificial superintelligence seems inevitable. They explore the idea of AI surpassing human intelligence and the implications of machines learning to write their own code. Throughout their engaging conversation, they emphasize the need to integrate security into AI systems from the start, rather than as an afterthought, citing recent vulnerabilities like Echo Leak and Microsoft Copilot's Zero Click vulnerability. Derailing into stories from the past and pondering philosophical questions, they wrap up by urging for a balanced approach where speed and thoughtful planning coexist, and to prioritize human welfare in technological advancements. This episode serves as a captivating blend of storytelling, technical insights, and ethical debates. 00:00 Introduction to Project Synapse 00:38 AI Vulnerabilities and Cybersecurity Concerns 02:22 The Gentle Singularity and AI Evolution 04:54 Human and AI Intelligence: A Comparison 07:05 AI Hallucinations and Emotional Intelligence 12:10 The Future of AI and Its Limitations 27:53 Security Flaws in AI Systems 30:20 The Need for Robust AI Security 32:22 The Ubiquity of AI in Modern Society 32:49 Understanding Neural Networks and Model Security 34:11 Challenges in AI Security and Human Behavior 36:45 The Evolution of Steganography and Prompt Injection 39:28 AI in Automation and Manufacturing 40:49 Crime as a Business and Security Implications 42:49 Balancing Speed and Security in AI Development 53:08 Corporate Responsibility and Ethical Considerations 57:31 The Future of AI and Human Values

Rob Zelinka is a visionary senior technology and business executive with over three decades of experience shaping the future of digital infrastructure and enterprise IT. Currently the Vice President and Chief Information Officer at Jack Henry & Associates, Rob leads a technology organization that powers financial innovation for institutions across the country. His leadership spans architecture, engineering, cloud/SaaS transformation, and enterprise-scale operations, overseeing budgets exceeding $200 million.Rob's journey is rooted in both strategic foresight and hands-on expertise. He began his career selling touch screen POS systems in the 1990s, and since then, has held pivotal IT leadership roles at TechnipFMC and PROS.From data center expansions to international consolidations, from governance frameworks like ITIL and SDLC to driving digital transformation, Rob has done it all and always with a people-first approach.As a leader, Rob is known for building high-performance teams, mentoring future leaders, and navigating complex mergers and acquisitions with grace. His strengths lie not only in his technological acumen but also in his ability to align IT vision with business strategy. He's an effective communicator, adept at delivering cost-effective solutions that elevate profits and exceed user expectations.Rob has been honored as a finalist in the Houston ORBIE Awards for three consecutive years (2023–2025) and is a recognized member of the Forbes Technology Council, where he contributes thought leadership on fintech, innovation, and IT strategy.Whether he's architecting resilient digital ecosystems or sharing stories about leadership and work-life balance, Rob brings depth, clarity, and inspiration to every conversation.Connect with Rob here - https://www.linkedin.com/in/robzelinka/ Support the showFollow me on Facebook ⬇️https://www.facebook.com/manuj.aggarwal❤️ ID - Manuj Aggarwal■ LinkedIn: https://www.linkedin.com/in/manujaggarwal/ ■ Facebook: https://www.facebook.com/realmanuj■ Instagram: ...

Three and a half years ago, during the pandemic era, we launched Lean Out to explore some basic questions about illiberalism in our response to the crisis — and in our culture, our politics, and our newsrooms. Today, for our 200th episode of the show, we're thrilled to be joined by two academics who have written a deeply researched book that provides some answers.Stephen Macedo is the Laurance S. Rockefeller Professor of Politics and the University Center for Human Values at Princeton University. And Frances Lee is professor of politics and public affairs at Princeton University. Their new book is In Covid's Wake: How Our Politics Failed Us.You can find Tara Henley on Twitter at @TaraRHenley, and on Substack at tarahenley.substack.com

In this second episode focused on Existentialists and Mystics we'll be reading two essays – ‘Thinking and Language' and ‘Nostalgia for the Particular' – together. If you've yet to listen to our prior episode on Murdoch earliest work on Sartre then you may wish to catch up with that, before you listen to us here. Both essay were originally give as oral presentations. The first, ‘Thinking and Language' came from a symposium entitled, naturally enough, Thinking and language and was part of a conversation between Murdoch, Gilbert Ryle and A.C. Lloyd in 1951. The second, ‘Nostalgia for the Particular' was read at a meeting of the Aristotelian Society on the 9th June 1952. As both papers reference each other in their published form it seemed obvious to discuss them together on one episode. Miles is joined by Lesley Jamieson. Lesley is an Assistant Professor and postdoctoral researcher at the Centre for Ethics as Study in Human Value at the University of Pardubice (Czechia) and her research has centred on the history of analytic philosophy (with a focus on women, especially Iris Murdoch). This work has resulted in a monograph entitled Iris Murdoch's Practical Metaphysics: A Guide to her Early Writings (Palgrave, 2023), as well as a number of articles on the philosophy of mind and philosophy of education. Lesley's current research is an examination the practice of "public philosophy" just prior to and after the Second World War among such figures as Susan Stebbing, A. J. Ayer and Iris Murdoch.

In this episode of Hashtag Trending, titled 'The Inflection Point: AI's Gentle Singularity and the Security Conundrum', the hosts grapple with planning their show amidst rapid technological changes and delve into a blog post by Sam Altman on the 'Gentle Singularity.' The discussion touches on concepts from astrophysics and AI, explaining the singularity where AI progresses beyond human control. Historical AI figure Ray Kurzweil is mentioned for his predictive insights. They explore how large language models mimic human behavior, their strengths in emotional intelligence, and the inevitable march towards superintelligence. This technological optimism is countered with a serious look at security flaws in AI models and real-world examples of corporate negligence. They highlight the critical need for integrating security into AI development to prevent exploitation. The episode concludes with a contemplation of human nature, the ethics of business, and an advocacy for using AI's potential responsibly. 00:00 Introduction and Show Planning 00:20 Discussing Sam Altman's Gentle Singularity 01:06 Ray Kurzweil and the Concept of Singularity 02:41 Human-Machine Integration and Event Horizon 05:02 AI Hallucinations and Human Creativity 09:02 Capabilities and Limitations of Large Language Models 10:27 AI's Role in Future Productivity and Quality of Life 13:02 Debating AI Consciousness and Singularity 25:51 Security Concerns in AI Development 30:57 Hacking the Human Brain: Elections and Persuasion 31:16 Understanding AI Models and Security 33:04 The Role of CISOs in Modern Security 34:43 Steganography and Prompt Injection 37:26 AI in Automation and Security Challenges 38:47 Crime as a Business: The Reality of Cybersecurity 40:47 Balancing Speed and Security in AI Development 51:06 Corporate Responsibility and Ethical Leadership 55:29 The Future of AI and Human Values

Today’s guest is Gary Whitehurst, CEO and Co-Founder of Brighter Investing—an investment firm that helps its clients align their personal purpose and passion with the places they invest their money. Gary brings a unique background to this work, leveraging his decades of experience in the investment and wealth management industry to build something different, a socially and environmentally geared impact investing firm. In this episode, Gary shares what led him to launch Brighter Investing, how their approach differs from mainstream investment firms, and why redefining risk and value is essential to creating lasting impact. He demystify some of the impact investing buzzwords, defining what ESG is and isn't, and explaining how it is used to help investors make decisions in line with their own personal risk tolerance. And Gary even tells us about their newest endeavor, launching an investment fund focused on social justice. Whether you're a seasoned investor, social entrepreneur, or just curious about what it means to invest with purpose, this is a conversation you won’t want to miss. RESOURCES RELATED TO THIS EPISODE Visit https://brighter-investing.com/ Follow Brighter Investing on LinkedIn at https://www.linkedin.com/company/brighterinvesting/ Follow Gary Whitehurst on LinkedIn at https://www.linkedin.com/in/garywhitehurst/ CREDITS Theme Music

Shane Leaning sits down with Ruth Taylor from the Common Cause Foundation to explore the fascinating world of human values and what they mean for school leadership. Ruth shares insights from decades of social psychology research that challenges everything we think we know about motivation.Key Topics CoveredThe Schwartz Values FrameworkHow 58 human values map onto our decision-makingWhy some values are complementary whilst others are antagonisticThe difference between intrinsic and extrinsic valuesThe Values Perception GapWhy 74% of people prioritise intrinsic values like equality over extrinsic ones like wealthHow we consistently misjudge what motivates othersThe self-fulfilling prophecy this creates in our organisationsPractical Applications for School LeadersWhy competitions and prizes might backfire in the long termHow to ask "what values am I wanting to nurture?" before designing initiativesMoving from outcome-focused to values-focused leadershipCreating space for conversations about what really mattersKey InsightsWe all hold all 58 values but "dance" in different parts of the map at different timesCultural pressures often push us towards extrinsic values even when we'd naturally choose intrinsic onesYou're always strengthening values through your leadership - the question is which onesStarting small and building habits around values-based thinking can create significant changeSimply reflecting on our own values strengthens our intrinsic motivations Useful LinksRuth Taylor's website: ruthtaylor.orgCulture Soup newsletter: valuesnarrativesculture.substack.comCommon Cause Foundation: commoncausefoundation.orgSchwartz Values Framework map: Available on the Common Cause website Episode PartnerThe International Curriculum Association: Learn moreThank you for tuning in, and if you found this episode useful, please share. You can find me on LinkedIn and Bluesky.Shane Leaning, an organisational coach based in Shanghai, supports international schools globally. Passionate about empowering educators, he is the author of the best-selling 'Change Starts Here.' Shane has extensive experience in the UK and Asia and is a recognised voice in international education leadership. Learn more at shaneleaning.com. Hosted on Acast. See acast.com/privacy for more information.

Frances E. Lee is professor of politics and public affairs at Princeton University. In addition to In Covid's Wake: How Our Politics Failed Us, she is author or coauthor most recently of The Limits of Party: Congress and Lawmaking in a Polarized Era and Insecure Majorities: Congress and the Perpetual Campaign. Stephen Macedo is the Laurance S. Rockefeller Professor of Politics and the University Center for Human Values at Princeton University. His books, in addition to In Covid's Wake: How Our Politics Failed Us, include Just Married: Same-Sex Couples, Monogamy, and the Future of Marriage, and Diversity and Distrust: Civic Education in a Multicultural Democracy. In this week's conversation, Yascha Mounk, Frances Lee, and Stephen Macedo discuss school closures during COVID, why Republicans and Democrats reacted differently to the pandemic, why institutions failed, and why as a consequence institutions lost the public's trust. Podcast production by Mickey Freeland and Leonora Barclay. Connect with us! Spotify | Apple | Google X: @Yascha_Mounk & @JoinPersuasion YouTube: Yascha Mounk, Persuasion LinkedIn: Persuasion Community Learn more about your ad choices. Visit megaphone.fm/adchoices

Watch the full episode with Marc Gafni here: https://youtu.be/akkTRfSvSEMSupport this show http://supporter.acast.com/inspiredevolution. Hosted on Acast. See acast.com/privacy for more information.

AI, Marketing, and Human Decision Making // MLOps Podcast #313 with Fausto Albers, AI Engineer & Community Lead at AI Builders Club.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractDemetrios and Fausto Albers explore how generative AI transforms creative work, decision-making, and human connection, highlighting both the promise of automation and the risks of losing critical thinking and social nuance.// BioFausto Albers is a relentless explorer of the unconventional—a techno-optimist with a foundation in sociology and behavioral economics, always connecting seemingly absurd ideas that, upon closer inspection, turn out to be the missing pieces of a bigger puzzle. He thrives in paradox: he overcomplicates the simple, oversimplifies the complex, and yet somehow lands on solutions that feel inevitable in hindsight. He believes that true innovation exists in the tension between chaos and structure—too much of either, and you're stuck.His career has been anything but linear. He's owned and operated successful restaurants, served high-stakes cocktails while juggling bottles on London's bar tops, and later traded spirits for code—designing digital waiters, recommender systems, and AI-driven accounting tools. Now, he leads the AI Builders Club Amsterdam, a fast-growing community where AI engineers, researchers, and founders push the boundaries of intelligent systems.Ask him about RAG, and he'll insist on specificity—because, as he puts it, discussing retrieval-augmented generation without clear definitions is as useful as declaring that “AI will have an impact on the world.” An engaging communicator, a sharp systems thinker, and a builder of both technology and communities, Fausto is here to challenge perspectives, deconstruct assumptions, and remix the future of AI.// Related LinksWebsite: aibuilders.clubMoravec's paradox: https://en.wikipedia.org/wiki/Moravec%27s_paradox?utm_source=chatgpt.comBehavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // Devansh Devansh // #311: https://youtu.be/jJXee5rMtHI~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Fausto on LinkedIn: /stepintoliquidTimestamps:[00:00] Fausto's preferred coffee[00:26] Takeaways[01:18] Automated Ad Creative Generation[07:14] AI in Marketing Workflows[13:23] MCP and System Bottlenecks[21:45] Forward Compatibility vs Optimization[29:57] Unlocking Workflow Speed[33:48] AI Dependency vs Critical Thinking[37:44] AI Realism and Paradoxes[42:30] Outsourcing Decision-Making Risks[46:22] Human Value in Automation[49:02] Wrap up

In today's post-Roe v. Wade world, U.S. maternal mortality is on the rise and laws regarding contraception, involuntary sterilization, access to reproductive health services, and criminalization of people who are gestating are changing by the minute. Today I'm joined by Dr. Caitlin Killian, the editor of and one of the contributors to a new book from Bloomsbury Academic, Understanding Reproduction in Social Contexts: A Reader. I'm also pleased to host two of the chapter authors, Drs. Nancy Hiemstra and Jaya Keaney. Using a reproductive justice framework, Understanding Reproduction in Social Contexts walks students through the social landscape around reproduction through the life course. Chapters by cutting-edge reproductive scholars, practitioners, and advocates address the social control of fertility and pregnancy, the promises and perils of assisted reproductive technologies, experiences of pregnancy, miscarriage, abortion, and birth, and how individuals make sense of and respond to the cultural, social, and political forces that condition their reproductive lives. The book takes an intersectional approach and considers how gender, sexuality, fatness, disability, class, race, and immigration status impact both an individual's health and the healthcare they receive. The reader includes timely topics such as increased legal limitations on abortion, transpeople and reproduction, and new developments in assisted reproduction and family formation. The book can support undergraduate and graduate courses on families, gender, public health, reproduction, and sexuality – and I'm pleased to have contributed a chapter. Dr. Caitlin Killian is a Professor of Sociology at Drew University specializing in gender, families, reproduction, and immigration. We featured her book, Failing Moms: Social Condemnation and Criminalization of Mothers (Polity 2023) previously on New Books Network. Her articles have appeared in Contexts magazine and The Conversation, as well as numerous academic journals, and she has done work for the United Nations on sexual and reproductive health and rights and on Syrian refugee women Dr. Nancy Hiemstra is a political, cultural, and feminist geographer and Associate Professor in the Department of Women's, Gender, and Sexuality Studies at Stony Brook University. Her scholarship focuses on how border and immigration policies shape patterns and consequences of human mobility. Her 2019 book Detain and Deport: The Chaotic U.S. Immigration Enforcement Regime examined the U.S. detention and deportation system, and her forthcoming book (with Deirdre Conlon) Immigration Detention Inc: The Big Business of Locking Up Migrants scrutinizes how profit making goals drive the expanding use of detention. Dr Jaya Keaney is Lecturer in Gender Studies in the School of Social and Political Sciences at the University of Melbourne. She writes, researches, and teaches in the fields of feminist technoscience, queer and feminist theory, and cultural studies. Her research across these fields explores reproduction, racism, and queer feminist practices of embodiment and inheritance. Jaya is the author of Making Gaybies: Queer Reproduction and Multiracial Feeling (Duke University Press, 2023), which was a finalist for the 2024 Rachel Carson Prize. Her writing has also appeared in journals such as Body and Society, Science Technology & Human Values, and the Duke University Press edited collection Long Term: Essays on Queer Commitment (2021). Mentioned: Susan's interview with Caitlin on Failing Moms: The Social Condemnation and Criminalization of Mothers (Polity, 2024). 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

In today's post-Roe v. Wade world, U.S. maternal mortality is on the rise and laws regarding contraception, involuntary sterilization, access to reproductive health services, and criminalization of people who are gestating are changing by the minute. Today I'm joined by Dr. Caitlin Killian, the editor of and one of the contributors to a new book from Bloomsbury Academic, Understanding Reproduction in Social Contexts: A Reader. I'm also pleased to host two of the chapter authors, Drs. Nancy Hiemstra and Jaya Keaney. Using a reproductive justice framework, Understanding Reproduction in Social Contexts walks students through the social landscape around reproduction through the life course. Chapters by cutting-edge reproductive scholars, practitioners, and advocates address the social control of fertility and pregnancy, the promises and perils of assisted reproductive technologies, experiences of pregnancy, miscarriage, abortion, and birth, and how individuals make sense of and respond to the cultural, social, and political forces that condition their reproductive lives. The book takes an intersectional approach and considers how gender, sexuality, fatness, disability, class, race, and immigration status impact both an individual's health and the healthcare they receive. The reader includes timely topics such as increased legal limitations on abortion, transpeople and reproduction, and new developments in assisted reproduction and family formation. The book can support undergraduate and graduate courses on families, gender, public health, reproduction, and sexuality – and I'm pleased to have contributed a chapter. Dr. Caitlin Killian is a Professor of Sociology at Drew University specializing in gender, families, reproduction, and immigration. We featured her book, Failing Moms: Social Condemnation and Criminalization of Mothers (Polity 2023) previously on New Books Network. Her articles have appeared in Contexts magazine and The Conversation, as well as numerous academic journals, and she has done work for the United Nations on sexual and reproductive health and rights and on Syrian refugee women Dr. Nancy Hiemstra is a political, cultural, and feminist geographer and Associate Professor in the Department of Women's, Gender, and Sexuality Studies at Stony Brook University. Her scholarship focuses on how border and immigration policies shape patterns and consequences of human mobility. Her 2019 book Detain and Deport: The Chaotic U.S. Immigration Enforcement Regime examined the U.S. detention and deportation system, and her forthcoming book (with Deirdre Conlon) Immigration Detention Inc: The Big Business of Locking Up Migrants scrutinizes how profit making goals drive the expanding use of detention. Dr Jaya Keaney is Lecturer in Gender Studies in the School of Social and Political Sciences at the University of Melbourne. She writes, researches, and teaches in the fields of feminist technoscience, queer and feminist theory, and cultural studies. Her research across these fields explores reproduction, racism, and queer feminist practices of embodiment and inheritance. Jaya is the author of Making Gaybies: Queer Reproduction and Multiracial Feeling (Duke University Press, 2023), which was a finalist for the 2024 Rachel Carson Prize. Her writing has also appeared in journals such as Body and Society, Science Technology & Human Values, and the Duke University Press edited collection Long Term: Essays on Queer Commitment (2021). Mentioned: Susan's interview with Caitlin on Failing Moms: The Social Condemnation and Criminalization of Mothers (Polity, 2024). Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/gender-studies

In today's post-Roe v. Wade world, U.S. maternal mortality is on the rise and laws regarding contraception, involuntary sterilization, access to reproductive health services, and criminalization of people who are gestating are changing by the minute. Today I'm joined by Dr. Caitlin Killian, the editor of and one of the contributors to a new book from Bloomsbury Academic, Understanding Reproduction in Social Contexts: A Reader. I'm also pleased to host two of the chapter authors, Drs. Nancy Hiemstra and Jaya Keaney. Using a reproductive justice framework, Understanding Reproduction in Social Contexts walks students through the social landscape around reproduction through the life course. Chapters by cutting-edge reproductive scholars, practitioners, and advocates address the social control of fertility and pregnancy, the promises and perils of assisted reproductive technologies, experiences of pregnancy, miscarriage, abortion, and birth, and how individuals make sense of and respond to the cultural, social, and political forces that condition their reproductive lives. The book takes an intersectional approach and considers how gender, sexuality, fatness, disability, class, race, and immigration status impact both an individual's health and the healthcare they receive. The reader includes timely topics such as increased legal limitations on abortion, transpeople and reproduction, and new developments in assisted reproduction and family formation. The book can support undergraduate and graduate courses on families, gender, public health, reproduction, and sexuality – and I'm pleased to have contributed a chapter. Dr. Caitlin Killian is a Professor of Sociology at Drew University specializing in gender, families, reproduction, and immigration. We featured her book, Failing Moms: Social Condemnation and Criminalization of Mothers (Polity 2023) previously on New Books Network. Her articles have appeared in Contexts magazine and The Conversation, as well as numerous academic journals, and she has done work for the United Nations on sexual and reproductive health and rights and on Syrian refugee women Dr. Nancy Hiemstra is a political, cultural, and feminist geographer and Associate Professor in the Department of Women's, Gender, and Sexuality Studies at Stony Brook University. Her scholarship focuses on how border and immigration policies shape patterns and consequences of human mobility. Her 2019 book Detain and Deport: The Chaotic U.S. Immigration Enforcement Regime examined the U.S. detention and deportation system, and her forthcoming book (with Deirdre Conlon) Immigration Detention Inc: The Big Business of Locking Up Migrants scrutinizes how profit making goals drive the expanding use of detention. Dr Jaya Keaney is Lecturer in Gender Studies in the School of Social and Political Sciences at the University of Melbourne. She writes, researches, and teaches in the fields of feminist technoscience, queer and feminist theory, and cultural studies. Her research across these fields explores reproduction, racism, and queer feminist practices of embodiment and inheritance. Jaya is the author of Making Gaybies: Queer Reproduction and Multiracial Feeling (Duke University Press, 2023), which was a finalist for the 2024 Rachel Carson Prize. Her writing has also appeared in journals such as Body and Society, Science Technology & Human Values, and the Duke University Press edited collection Long Term: Essays on Queer Commitment (2021). Mentioned: Susan's interview with Caitlin on Failing Moms: The Social Condemnation and Criminalization of Mothers (Polity, 2024). Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/political-science

In today's post-Roe v. Wade world, U.S. maternal mortality is on the rise and laws regarding contraception, involuntary sterilization, access to reproductive health services, and criminalization of people who are gestating are changing by the minute. Today I'm joined by Dr. Caitlin Killian, the editor of and one of the contributors to a new book from Bloomsbury Academic, Understanding Reproduction in Social Contexts: A Reader. I'm also pleased to host two of the chapter authors, Drs. Nancy Hiemstra and Jaya Keaney. Using a reproductive justice framework, Understanding Reproduction in Social Contexts walks students through the social landscape around reproduction through the life course. Chapters by cutting-edge reproductive scholars, practitioners, and advocates address the social control of fertility and pregnancy, the promises and perils of assisted reproductive technologies, experiences of pregnancy, miscarriage, abortion, and birth, and how individuals make sense of and respond to the cultural, social, and political forces that condition their reproductive lives. The book takes an intersectional approach and considers how gender, sexuality, fatness, disability, class, race, and immigration status impact both an individual's health and the healthcare they receive. The reader includes timely topics such as increased legal limitations on abortion, transpeople and reproduction, and new developments in assisted reproduction and family formation. The book can support undergraduate and graduate courses on families, gender, public health, reproduction, and sexuality – and I'm pleased to have contributed a chapter. Dr. Caitlin Killian is a Professor of Sociology at Drew University specializing in gender, families, reproduction, and immigration. We featured her book, Failing Moms: Social Condemnation and Criminalization of Mothers (Polity 2023) previously on New Books Network. Her articles have appeared in Contexts magazine and The Conversation, as well as numerous academic journals, and she has done work for the United Nations on sexual and reproductive health and rights and on Syrian refugee women Dr. Nancy Hiemstra is a political, cultural, and feminist geographer and Associate Professor in the Department of Women's, Gender, and Sexuality Studies at Stony Brook University. Her scholarship focuses on how border and immigration policies shape patterns and consequences of human mobility. Her 2019 book Detain and Deport: The Chaotic U.S. Immigration Enforcement Regime examined the U.S. detention and deportation system, and her forthcoming book (with Deirdre Conlon) Immigration Detention Inc: The Big Business of Locking Up Migrants scrutinizes how profit making goals drive the expanding use of detention. Dr Jaya Keaney is Lecturer in Gender Studies in the School of Social and Political Sciences at the University of Melbourne. She writes, researches, and teaches in the fields of feminist technoscience, queer and feminist theory, and cultural studies. Her research across these fields explores reproduction, racism, and queer feminist practices of embodiment and inheritance. Jaya is the author of Making Gaybies: Queer Reproduction and Multiracial Feeling (Duke University Press, 2023), which was a finalist for the 2024 Rachel Carson Prize. Her writing has also appeared in journals such as Body and Society, Science Technology & Human Values, and the Duke University Press edited collection Long Term: Essays on Queer Commitment (2021). Mentioned: Susan's interview with Caitlin on Failing Moms: The Social Condemnation and Criminalization of Mothers (Polity, 2024). Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/medicine

In today's post-Roe v. Wade world, U.S. maternal mortality is on the rise and laws regarding contraception, involuntary sterilization, access to reproductive health services, and criminalization of people who are gestating are changing by the minute. Today I'm joined by Dr. Caitlin Killian, the editor of and one of the contributors to a new book from Bloomsbury Academic, Understanding Reproduction in Social Contexts: A Reader. I'm also pleased to host two of the chapter authors, Drs. Nancy Hiemstra and Jaya Keaney. Using a reproductive justice framework, Understanding Reproduction in Social Contexts walks students through the social landscape around reproduction through the life course. Chapters by cutting-edge reproductive scholars, practitioners, and advocates address the social control of fertility and pregnancy, the promises and perils of assisted reproductive technologies, experiences of pregnancy, miscarriage, abortion, and birth, and how individuals make sense of and respond to the cultural, social, and political forces that condition their reproductive lives. The book takes an intersectional approach and considers how gender, sexuality, fatness, disability, class, race, and immigration status impact both an individual's health and the healthcare they receive. The reader includes timely topics such as increased legal limitations on abortion, transpeople and reproduction, and new developments in assisted reproduction and family formation. The book can support undergraduate and graduate courses on families, gender, public health, reproduction, and sexuality – and I'm pleased to have contributed a chapter. Dr. Caitlin Killian is a Professor of Sociology at Drew University specializing in gender, families, reproduction, and immigration. We featured her book, Failing Moms: Social Condemnation and Criminalization of Mothers (Polity 2023) previously on New Books Network. Her articles have appeared in Contexts magazine and The Conversation, as well as numerous academic journals, and she has done work for the United Nations on sexual and reproductive health and rights and on Syrian refugee women Dr. Nancy Hiemstra is a political, cultural, and feminist geographer and Associate Professor in the Department of Women's, Gender, and Sexuality Studies at Stony Brook University. Her scholarship focuses on how border and immigration policies shape patterns and consequences of human mobility. Her 2019 book Detain and Deport: The Chaotic U.S. Immigration Enforcement Regime examined the U.S. detention and deportation system, and her forthcoming book (with Deirdre Conlon) Immigration Detention Inc: The Big Business of Locking Up Migrants scrutinizes how profit making goals drive the expanding use of detention. Dr Jaya Keaney is Lecturer in Gender Studies in the School of Social and Political Sciences at the University of Melbourne. She writes, researches, and teaches in the fields of feminist technoscience, queer and feminist theory, and cultural studies. Her research across these fields explores reproduction, racism, and queer feminist practices of embodiment and inheritance. Jaya is the author of Making Gaybies: Queer Reproduction and Multiracial Feeling (Duke University Press, 2023), which was a finalist for the 2024 Rachel Carson Prize. Her writing has also appeared in journals such as Body and Society, Science Technology & Human Values, and the Duke University Press edited collection Long Term: Essays on Queer Commitment (2021). Mentioned: Susan's interview with Caitlin on Failing Moms: The Social Condemnation and Criminalization of Mothers (Polity, 2024). Learn more about your ad choices. Visit megaphone.fm/adchoices

In today's post-Roe v. Wade world, U.S. maternal mortality is on the rise and laws regarding contraception, involuntary sterilization, access to reproductive health services, and criminalization of people who are gestating are changing by the minute. Today I'm joined by Dr. Caitlin Killian, the editor of and one of the contributors to a new book from Bloomsbury Academic, Understanding Reproduction in Social Contexts: A Reader. I'm also pleased to host two of the chapter authors, Drs. Nancy Hiemstra and Jaya Keaney. Using a reproductive justice framework, Understanding Reproduction in Social Contexts walks students through the social landscape around reproduction through the life course. Chapters by cutting-edge reproductive scholars, practitioners, and advocates address the social control of fertility and pregnancy, the promises and perils of assisted reproductive technologies, experiences of pregnancy, miscarriage, abortion, and birth, and how individuals make sense of and respond to the cultural, social, and political forces that condition their reproductive lives. The book takes an intersectional approach and considers how gender, sexuality, fatness, disability, class, race, and immigration status impact both an individual's health and the healthcare they receive. The reader includes timely topics such as increased legal limitations on abortion, transpeople and reproduction, and new developments in assisted reproduction and family formation. The book can support undergraduate and graduate courses on families, gender, public health, reproduction, and sexuality – and I'm pleased to have contributed a chapter. Dr. Caitlin Killian is a Professor of Sociology at Drew University specializing in gender, families, reproduction, and immigration. We featured her book, Failing Moms: Social Condemnation and Criminalization of Mothers (Polity 2023) previously on New Books Network. Her articles have appeared in Contexts magazine and The Conversation, as well as numerous academic journals, and she has done work for the United Nations on sexual and reproductive health and rights and on Syrian refugee women Dr. Nancy Hiemstra is a political, cultural, and feminist geographer and Associate Professor in the Department of Women's, Gender, and Sexuality Studies at Stony Brook University. Her scholarship focuses on how border and immigration policies shape patterns and consequences of human mobility. Her 2019 book Detain and Deport: The Chaotic U.S. Immigration Enforcement Regime examined the U.S. detention and deportation system, and her forthcoming book (with Deirdre Conlon) Immigration Detention Inc: The Big Business of Locking Up Migrants scrutinizes how profit making goals drive the expanding use of detention. Dr Jaya Keaney is Lecturer in Gender Studies in the School of Social and Political Sciences at the University of Melbourne. She writes, researches, and teaches in the fields of feminist technoscience, queer and feminist theory, and cultural studies. Her research across these fields explores reproduction, racism, and queer feminist practices of embodiment and inheritance. Jaya is the author of Making Gaybies: Queer Reproduction and Multiracial Feeling (Duke University Press, 2023), which was a finalist for the 2024 Rachel Carson Prize. Her writing has also appeared in journals such as Body and Society, Science Technology & Human Values, and the Duke University Press edited collection Long Term: Essays on Queer Commitment (2021). Mentioned: Susan's interview with Caitlin on Failing Moms: The Social Condemnation and Criminalization of Mothers (Polity, 2024). Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/public-policy

In today's post-Roe v. Wade world, U.S. maternal mortality is on the rise and laws regarding contraception, involuntary sterilization, access to reproductive health services, and criminalization of people who are gestating are changing by the minute. Today I'm joined by Dr. Caitlin Killian, the editor of and one of the contributors to a new book from Bloomsbury Academic, Understanding Reproduction in Social Contexts: A Reader. I'm also pleased to host two of the chapter authors, Drs. Nancy Hiemstra and Jaya Keaney. Using a reproductive justice framework, Understanding Reproduction in Social Contexts walks students through the social landscape around reproduction through the life course. Chapters by cutting-edge reproductive scholars, practitioners, and advocates address the social control of fertility and pregnancy, the promises and perils of assisted reproductive technologies, experiences of pregnancy, miscarriage, abortion, and birth, and how individuals make sense of and respond to the cultural, social, and political forces that condition their reproductive lives. The book takes an intersectional approach and considers how gender, sexuality, fatness, disability, class, race, and immigration status impact both an individual's health and the healthcare they receive. The reader includes timely topics such as increased legal limitations on abortion, transpeople and reproduction, and new developments in assisted reproduction and family formation. The book can support undergraduate and graduate courses on families, gender, public health, reproduction, and sexuality – and I'm pleased to have contributed a chapter. Dr. Caitlin Killian is a Professor of Sociology at Drew University specializing in gender, families, reproduction, and immigration. We featured her book, Failing Moms: Social Condemnation and Criminalization of Mothers (Polity 2023) previously on New Books Network. Her articles have appeared in Contexts magazine and The Conversation, as well as numerous academic journals, and she has done work for the United Nations on sexual and reproductive health and rights and on Syrian refugee women Dr. Nancy Hiemstra is a political, cultural, and feminist geographer and Associate Professor in the Department of Women's, Gender, and Sexuality Studies at Stony Brook University. Her scholarship focuses on how border and immigration policies shape patterns and consequences of human mobility. Her 2019 book Detain and Deport: The Chaotic U.S. Immigration Enforcement Regime examined the U.S. detention and deportation system, and her forthcoming book (with Deirdre Conlon) Immigration Detention Inc: The Big Business of Locking Up Migrants scrutinizes how profit making goals drive the expanding use of detention. Dr Jaya Keaney is Lecturer in Gender Studies in the School of Social and Political Sciences at the University of Melbourne. She writes, researches, and teaches in the fields of feminist technoscience, queer and feminist theory, and cultural studies. Her research across these fields explores reproduction, racism, and queer feminist practices of embodiment and inheritance. Jaya is the author of Making Gaybies: Queer Reproduction and Multiracial Feeling (Duke University Press, 2023), which was a finalist for the 2024 Rachel Carson Prize. Her writing has also appeared in journals such as Body and Society, Science Technology & Human Values, and the Duke University Press edited collection Long Term: Essays on Queer Commitment (2021). Mentioned: Susan's interview with Caitlin on Failing Moms: The Social Condemnation and Criminalization of Mothers (Polity, 2024). Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/law

In today's post-Roe v. Wade world, U.S. maternal mortality is on the rise and laws regarding contraception, involuntary sterilization, access to reproductive health services, and criminalization of people who are gestating are changing by the minute. Today I'm joined by Dr. Caitlin Killian, the editor of and one of the contributors to a new book from Bloomsbury Academic, Understanding Reproduction in Social Contexts: A Reader. I'm also pleased to host two of the chapter authors, Drs. Nancy Hiemstra and Jaya Keaney. Using a reproductive justice framework, Understanding Reproduction in Social Contexts walks students through the social landscape around reproduction through the life course. Chapters by cutting-edge reproductive scholars, practitioners, and advocates address the social control of fertility and pregnancy, the promises and perils of assisted reproductive technologies, experiences of pregnancy, miscarriage, abortion, and birth, and how individuals make sense of and respond to the cultural, social, and political forces that condition their reproductive lives. The book takes an intersectional approach and considers how gender, sexuality, fatness, disability, class, race, and immigration status impact both an individual's health and the healthcare they receive. The reader includes timely topics such as increased legal limitations on abortion, transpeople and reproduction, and new developments in assisted reproduction and family formation. The book can support undergraduate and graduate courses on families, gender, public health, reproduction, and sexuality – and I'm pleased to have contributed a chapter. Dr. Caitlin Killian is a Professor of Sociology at Drew University specializing in gender, families, reproduction, and immigration. We featured her book, Failing Moms: Social Condemnation and Criminalization of Mothers (Polity 2023) previously on New Books Network. Her articles have appeared in Contexts magazine and The Conversation, as well as numerous academic journals, and she has done work for the United Nations on sexual and reproductive health and rights and on Syrian refugee women Dr. Nancy Hiemstra is a political, cultural, and feminist geographer and Associate Professor in the Department of Women's, Gender, and Sexuality Studies at Stony Brook University. Her scholarship focuses on how border and immigration policies shape patterns and consequences of human mobility. Her 2019 book Detain and Deport: The Chaotic U.S. Immigration Enforcement Regime examined the U.S. detention and deportation system, and her forthcoming book (with Deirdre Conlon) Immigration Detention Inc: The Big Business of Locking Up Migrants scrutinizes how profit making goals drive the expanding use of detention. Dr Jaya Keaney is Lecturer in Gender Studies in the School of Social and Political Sciences at the University of Melbourne. She writes, researches, and teaches in the fields of feminist technoscience, queer and feminist theory, and cultural studies. Her research across these fields explores reproduction, racism, and queer feminist practices of embodiment and inheritance. Jaya is the author of Making Gaybies: Queer Reproduction and Multiracial Feeling (Duke University Press, 2023), which was a finalist for the 2024 Rachel Carson Prize. Her writing has also appeared in journals such as Body and Society, Science Technology & Human Values, and the Duke University Press edited collection Long Term: Essays on Queer Commitment (2021). Mentioned: Susan's interview with Caitlin on Failing Moms: The Social Condemnation and Criminalization of Mothers (Polity, 2024). Learn more about your ad choices. Visit megaphone.fm/adchoices

In today's post-Roe v. Wade world, U.S. maternal mortality is on the rise and laws regarding contraception, involuntary sterilization, access to reproductive health services, and criminalization of people who are gestating are changing by the minute. Today I'm joined by Dr. Caitlin Killian, the editor of and one of the contributors to a new book from Bloomsbury Academic, Understanding Reproduction in Social Contexts: A Reader. I'm also pleased to host two of the chapter authors, Drs. Nancy Hiemstra and Jaya Keaney. Using a reproductive justice framework, Understanding Reproduction in Social Contexts walks students through the social landscape around reproduction through the life course. Chapters by cutting-edge reproductive scholars, practitioners, and advocates address the social control of fertility and pregnancy, the promises and perils of assisted reproductive technologies, experiences of pregnancy, miscarriage, abortion, and birth, and how individuals make sense of and respond to the cultural, social, and political forces that condition their reproductive lives. The book takes an intersectional approach and considers how gender, sexuality, fatness, disability, class, race, and immigration status impact both an individual's health and the healthcare they receive. The reader includes timely topics such as increased legal limitations on abortion, transpeople and reproduction, and new developments in assisted reproduction and family formation. The book can support undergraduate and graduate courses on families, gender, public health, reproduction, and sexuality – and I'm pleased to have contributed a chapter. Dr. Caitlin Killian is a Professor of Sociology at Drew University specializing in gender, families, reproduction, and immigration. We featured her book, Failing Moms: Social Condemnation and Criminalization of Mothers (Polity 2023) previously on New Books Network. Her articles have appeared in Contexts magazine and The Conversation, as well as numerous academic journals, and she has done work for the United Nations on sexual and reproductive health and rights and on Syrian refugee women Dr. Nancy Hiemstra is a political, cultural, and feminist geographer and Associate Professor in the Department of Women's, Gender, and Sexuality Studies at Stony Brook University. Her scholarship focuses on how border and immigration policies shape patterns and consequences of human mobility. Her 2019 book Detain and Deport: The Chaotic U.S. Immigration Enforcement Regime examined the U.S. detention and deportation system, and her forthcoming book (with Deirdre Conlon) Immigration Detention Inc: The Big Business of Locking Up Migrants scrutinizes how profit making goals drive the expanding use of detention. Dr Jaya Keaney is Lecturer in Gender Studies in the School of Social and Political Sciences at the University of Melbourne. She writes, researches, and teaches in the fields of feminist technoscience, queer and feminist theory, and cultural studies. Her research across these fields explores reproduction, racism, and queer feminist practices of embodiment and inheritance. Jaya is the author of Making Gaybies: Queer Reproduction and Multiracial Feeling (Duke University Press, 2023), which was a finalist for the 2024 Rachel Carson Prize. Her writing has also appeared in journals such as Body and Society, Science Technology & Human Values, and the Duke University Press edited collection Long Term: Essays on Queer Commitment (2021). Mentioned: Susan's interview with Caitlin on Failing Moms: The Social Condemnation and Criminalization of Mothers (Polity, 2024). Learn more about your ad choices. Visit megaphone.fm/adchoices

This is a free preview of a paid episode. To hear more, visit andrewsullivan.substack.comFrances Lee is Professor of Politics and Public Affairs at Princeton, and her books include The Limits of Party: Congress and Lawmaking in a Polarized Age. Steve Macedo —an old friend from Harvard — is the Laurance S. Rockefeller Professor of Politics and the University Center for Human Values at Princeton, and his books include Just Married: Same-Sex Couples, Monogamy, and the Future of Marriage. The book they just co-wrote is called In Covid's Wake: How Our Politics Failed Us.For two clips of our convo — on the demonization of dissent during Covid, and where the right went wrong on the pandemic — head to our YouTube page.Other topics: Frances raised in the Deep South; Steve from a family of educators in Massachusetts; his Jesuit schooling as a gay Catholic; how both were natural contrarians; the pre-pandemic plans for Covid; their personal reactions to the outbreak; the emergency after 9/11; the Spanish flu; the cost/benefit of lockdowns; the different reactions in red and blue states; the Sweden model; the trillions of dollars in Covid relief; Fauci's appeal to authority; Partygate and Newsom's French Laundry; the remote work enjoyed by elites; how blue-collar workers bore the brunt; the generational injustice suffered by kids; Operation Warp Speed; the early myths of the vaccine; the Ptown vaccinated outbreak; censorship on social media; the moralizing of the MSM; the public-health hypocrisy on BLM protests; the mask mandates after the vaccines; how boosters weren't backed by good evidence; the Great Barrington Declaration; the Ebright testimony; the “Proximal Origin” paper; gain of function and the short-lived moratorium; the illiberal mistakes of Francis Collins; addressing his claims on lab leak; and the alarming current risks of viral escape.Browse the Dishcast archive for an episode you might enjoy (the first 102 are free in their entirety — subscribe to get everything else). Coming up: Byron York on Trump 2.0, Claire Lehmann on the woke right, Robert Merry on President McKinley, Sam Tanenhaus on Bill Buckley, Jake Tapper and Alex Thompson on the Biden years, and Paul Elie on his book The Last Supper: Art, Faith, Sex, and Controversy in the 1980s. Please send any guest recs, dissents, and other comments to dish@andrewsullivan.com.

Liberals have been introspecting (some may say self-flagellating) since the 2024 election, to varying degrees of convincingness and success. There's the usual genre of complaints—NIMBYism, identity politics, the crisis of masculinity, forgetting about the factory man—but the one thing liberals agree on is that they can't be blamed for following their good, apolitical science. Today's guests want you to rethink that. We're thrilled to have on Frances Lee, Professor of Politics and Public Affairs, and Stephen Macedo, Laurance S. Rockefeller Professor of Politics and the University Center for Human Values, both at Princeton University, to discuss their new book, In Covid's Wake: How Our Politics Failed Us.We open up the book by asking our guests why they wrote this book—why attack liberals' response to the COVID pandemic, and why now? Lee and Macedo argue that liberal science and policymaking early in the pandemic faced multiple epistemic failures, from undisclosed conflicts of interest to the silencing of opinions outside the mainstream. David defends the United States's COVID policy response, but Lee and Macedo press their point that value-laden judgments were made by state and local officials who avoided responsibility by claiming to follow the science. We wrap up the episode with a discussion of scientific expertise in modern democracies.This podcast is generously supported by Themis Bar Review.Referenced ReadingsGreat Barrington Declaration“Is the Coronavirus as Deadly as They Say?” by Eran Bendavid and Jay Bhattacharya“What Sparked the COVID Pandemic? Mounting Evidence Points to Raccoon Dogs” by Smriti Mallapaty“Statement in Support of the Scientists, Public Health Professionals, and Medical Professionals of China Combating COVID-19” by Charles Calisher et al.“Everyone Wore Masks During the 1918 Flu Pandemic. They Were Useless.” by Eliza McGraw“The Covid Alarmists Were Closer to the Truth Than Anyone Else” by David Wallace-WellsThe Swine Flu Affair: Decision-Making on a Slippery Disease by Richard E. Neustadt and Harvey V. Fineberg

Die Themen in den Wissensnachrichten: +++ Sprache von Bonobos ähnelt Menschen mehr als gedacht +++ KI-Training verursacht hohe Kosten bei Wikipedia +++ Emotionale Techniken ermöglichen das Töten in Schlachthöfen +++**********Weiterführende Quellen zu dieser Folge:Extensive compositionality in the vocal system of bonobos/ Science, 03.04.2025How crawlers impact the operations of the Wikimedia projects/ Wikimedia, 01.04.2025Professional emotional neutrality and the role of background emotion work in the slaughterhouse/ Agriculture and Human Values, 12.03.2025Meningeal regulatory T cells inhibit nociception in female mice/ Science, 03.04.2025RN AAS The American Astronomical Society, find out more. The Institute of Physics, find out more. A publishing partnership The following article isOpen access JWST Observations of Potentially Hazardous Asteroid 2024 YR4/ Research Notes of the AAS, April 2025Alle Quellen findet ihr hier.**********Ihr könnt uns auch auf diesen Kanälen folgen: TikTok und Instagram .

Stephen Macedo, the Laurance S. Rockefeller Professor of Politics at the University Center for Human Values at Princeton University, joins Paul E. Peterson to discuss Macedo's new book, "In Covid's Wake: How Our Politics Failed Us."

As AI continues to advance and integrate into our daily lives, can it truly be designed to align with our deepest human values and moral principles? If so, how can we ensure that AI not only understands but also respects and promotes our ethical frameworks, without compromising our privacy or hindering our personal growth and autonomy?  John Vervaeke, Christopher Mastropietro, and Jordan Hall embark on a nuanced exploration of the intricate relationship between AI and human flourishing. They explore the concept of "intimate AI," a personalized guardian that attunes to individual biometrics and psychometrics, offering a protective and challenging presence. The discussion underscores the critical importance of privacy, the perils of idolatry, and the urgent need for a new philosophical framework that addresses the meaning crisis. Jordan Hall is a technology entrepreneur with several years of experience building disruptive companies. He is interested in philosophy, artificial intelligence, and complex systems and has a background in law. Hall has worked for several technology companies and was the founder and CEO of DivX. He is currently involved in various think tanks and institutes and is focused on upgrading humanity's capacity for thought and action. Christopher Mastropietro is a philosophical writer who is fascinated by dialogue, symbols, and the concept of self. He actively contributes to the Vervaeke Foundation. Notes:  (0:00) Introduction to the Lectern (0:30) Overview of Today's Discussion: Can AI be in Alignment with Human Values? (1:00) The Three-Point Proposal - Individual Attunement, Decentralized and Distributed AI, Guardian AI (6:30) Individual AI Attunement  (8:30) Distributed AI and Collective Intelligence (8:45) Empowerment of Agency through AI (12:30) The Role of Intimacy in AI Alignment - Why Relationality Matters (22:00) Can AI Help Develop Human Integrity? - The Challenge of Self-Alignment (28:00) Cultural and Enculturation Challenges (31:30) AI, Culture, and the Reintegration of Human Rhythms (38:00) Addressing Cocooning and Cultural Integration (47:00) Domains of Enculturation - Psychological, Economic, and Intersubjective  (48:30)  ”We're not looking necessarily for a teacher as much as we were looking for the teacherly opportunity in the encounters we're having.” (51:00) The Sanctity of Privacy and Vulnerability (1:07:00) The Role of Intimacy in Privacy (1:13:00) Final Reflections    ---  Connect with a community dedicated to self-discovery and purpose, and gain deeper insights by joining our Patreon. The Vervaeke Foundation is committed to advancing the scientific pursuit of wisdom and creating a significant impact on the world. Become a part of our mission.   Join Awaken to Meaning to explore practices that enhance your virtues and foster deeper connections with reality and relationships.   John Vervaeke: Website | X | YouTube | Patreon   Jordan Hall: YouTube | Medium | X   Christopher Mastropietro: Vervaeke Foundation   Ideas, People, and Works Mentioned in this Episode Christopher Mastropietro Jordan Hall Jordan Peterson James Filler Spinoza Marshall McLuhan Plato Immanuel Kant The AI Alignment Problem Decentralized & Personal AI as a Solution The Role of Intimacy in AI Alignment Enculturation & AI's Role in Human Integrity Privacy as More Than Just Protection The Republic – by Plato Critique of Pure Reason – by Immanuel Kant The Idea of the Holy – by Rudolf Otto Interpretation of Cultures – by Clifford Geertz  

Microsoft Shifts Away from OpenAI with A New AI Strategy.  Safe Superintelligence Inc. (SSI), the startup founded by former OpenAI chief scientist Ilya Sutskever, is reportedly raising over $2 billion in a new funding round that values the company at a staggering $30 billion. Artie Intel and Micheline Learning report on Artificial Intelligence for The AI Report. This message brought to you by Amazon. Do More at Amazon.com Chinese AI companies like DeepSeek are kicking America's Ass. The US Army's TRADOC is using an AI tool,  CamoGPT,  to identify and remove DEI references from training materials per an executive order by President Trump.  CamoGPT,  developed by the Army's AI Integration Center,  scans documents for specific keywords and has about 4,000 users.  The initiative is part of a wider government effort to eliminate DEI content,  leveraging AI for increased efficiency in aligning with national security objectives.   The AI Report  

Don Hubin is a Professor Emeritus of Philosophy at The Ohio State University, former Chair of the OSU Department of Philosophy, and Founding Director Emeritus of the Ohio State University Center for Ethics and Human Values. He received his B.A. with honors from the University of California at Davis (1972) and his M.A. and Ph.D. degrees from the University of Arizona (1976 and 1978). He has been on the faculty of the Philosophy Department at The OhioState University since 1977. Don served as chair of the Department of Philosophy from 2006 through 2013 and from 2005 through 2015 he served as an Associate Editor of Ethics, one of the two leading journals in moral philosophy in the world.Don specializes in ethics, philosophy of law and political philosophy. He has worked on a variety of topics, including theories of distributive justice and the nature and justification of cost/benefit analysis under an NSF grant. He currently has two primary research interests: first, the nature of practical rationality and the relationship between morality and rationality; and, second, the nature and basis of parental rights and responsibilities. Selected publications on the second topic include:“Parental Rights and Due Process,” The Journal of Law and Family Studies, 1:2(1999)123–150; “Daddy_Dilemmas_Untangling_the_Puzzles_of_Paternity,” The Cornell Journal of Law and Public Policy, 13(2003)29-80;"Reproductive Interests: Puzzles at the Periphery of the Property Paradigm," Social Philosophy and Policy, 29(2012)106-25;"Fatherhood," International Encyclopedia of Ethics, Wiley-Blackwell, (2013), "Fractured Fatherhood, an Analytic Philosophy Perspective on Moral and Legal Paternity" Journal of Family Theory & Review, 6(2014)76-90, and "Procreators' Duties: Sexual Asymmetries," Oxford Handbook of Reproductive Ethics, (forthcoming 2016).For more than a quarter of a century, Don has been involved in the shared parenting movement, serving as the leader of a state-based shared parenting organization in Ohio before creating a chapter of National Parents Organization (NPO) in the state. He joined the National Board of NPO in 2014 and became Chair of the National Board of NPO in 2019. Don also serves on the Board of Directors of the International Council on Shared Parenting (ICSP). Don has served on several state commissions, including the Ohio Child Support Reform Shareholders' Group (2001–2003) and the Ohio Child Support Guideline Council (2003–2005).Support the show

Welcome to episode #972 of Six Pixels of Separation - The ThinkersOne Podcast. Dr. Tom Chatfield is one of those rare thinkers who seamlessly blends philosophy, technology, and human experience, making sense of the rapidly evolving digital landscape. As an author, tech philosopher, and educator, his work - including his latest book, Wise Animals - How Technology Has Made Us What We Are - explores how humans and technology have co-evolved over thousands of years, shaping not only how we work and communicate but how we think and perceive the world. Tom is also the author of How To Think, This Is Gomorrah, Critical Thinking and many others. In this conversation, Tom challenges the conventional narrative that technology is either a savior or a threat, arguing instead that it is deeply intertwined with who we are as a species. We explore the biases embedded in our digital tools, the generational shifts in how technology is understood, and the ethical dilemmas posed by AI's increasing influence on work, productivity, and decision-making. Tom also shared why soft skills - like empathy, collaboration, and critical thinking - are becoming more valuable than ever in an age where AI can replicate knowledge-based tasks but struggles with human connection. He reflected on the growing skepticism toward experts, the rising noise in legal and regulatory environments, and the fundamental need for doubt and self-awareness in how we design and interact with intelligent systems. Thought-provoking, insightful, and refreshingly nuanced, this conversation is for anyone who wants to engage with technology more thoughtfully, rather than passively accepting or fearing it. Enjoy the conversation... Running time: 1:06:50. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Six Pixels of Separation. Feel free to connect to me directly on Facebook here: Mitch Joel on Facebook. Check out ThinkersOne. or you can connect on LinkedIn. ...or on Twitter. Here is my conversation with Dr. Tom Chatfield. Wise Animals - How Technology Has Made Us What We Are. How To Think. This Is Gomorrah. Critical Thinking. Follow Tom on Substack. Follow Tom on X. Follow Tom on LinkedIn. This week's music: David Usher 'St. Lawrence River'. Chapters: (00:00) - Introduction to Technology Philosophy. (02:58) - The Role of Technology in Human Experience. (06:10) - Generational Perspectives on Technology. (08:54) - The Impact of AI on Work and Productivity. (11:57) - The Evolution of Human Interaction with AI. (15:05) - The Future of Work in an AI-Driven World. (17:48) - The Ethics of AI and Human Value. (20:49) - Navigating the Divide in Access to Technology. (23:49) - The Devaluation of Knowledge Work. (30:51) - The Impact of AI on Knowledge Work. (35:40) - The Value of Human Connection in a Tech-Driven World. (41:45) - Rethinking Professional Education and Skills. (48:08) - Philosophical Perspectives on AI and Technology. (57:28) - Co-evolution with Technology and the Future of Knowledge.

Bio   Bala has rich experience in retail technology and process transformation. Most recently, he worked as a Principal Architect for Intelligent Automation, Innovation & Supply Chain in a global Fortune 100 retail corporation. Currently he works for a luxury brand as Principal Architect for Intelligent Automation providing technology advice for the responsible use of technology (Low Code, RPA, Chatbots, and AI). He is passionate about technology and spends his free time reading, writing technical blogs and co-chairing a special interest group with The OR Society.   Interview Highlights 02:00 Mentors and peers 04:00 Community bus 07:10 Defining AI 08:20 Contextual awareness 11:45 GenAI 14:30 The human loop 17:30 Natural Language Processing 20:45 Sentiment analysis 24:00 Implementing AI solutions 26:30 Ethics and AI 27:30 Biased algorithms 32:00 EU AI Act  33:00 Responsible use of technology   Connect   Bala Madhusoodhanan on LinkedIn     Books and references   ·       https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html  - NLP   ·       https://www.theregister.com/2021/05/27/clearview_europe/  - Facial Technology Issue   ·       https://www.designnews.com/electronics-test/apple-card-most-high-profile-case-ai-bias-yet  - Apple Card story   ·       https://www.ft.com/content/2d6fc319-2165-42fb-8de1-0edf1d765be3  - Data Centre growth   ·       https://www.technologyreview.com/2024/02/06/1087793/what-babies-can-teach-ai/   ·       Independent Audit of AI Systems -   ·       Home | The Alan Turing Institute   ·       Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World, Marco Iansiti & Karim R. Lakhani   ·       AI Superpowers: China, Silicon Valley, and the New World, Kai-Fu Lee   ·       The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You, Mike Walsh   ·       Human+Machine: Reimagining Work in the Age of AI, Paul R Daugherty, H. James Wilson   ·       Superintelligence: Paths, Dangers, Strategies, Nick Bostrom   ·       The Alignment Problem: How Can Artificial Intelligence Learn Human Values, Brian Christian   ·       Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI, Reid Blackman   ·       Wanted: Human-AI Translators: Artificial Intelligence Demystified, Geertrui Mieke De Ketelaere   ·       The Future of Humanity: Terraforming Mars, Interstellar Travel, Immortality, and Our Destiny Beyond, Michio Kaku, Feodor Chin et al  Episode Transcript Intro: Hello and welcome to the Agile Innovation Leaders podcast. I'm Ula Ojiaku. On this podcast I speak with world-class leaders and doers about themselves and a variety of topics spanning Agile, Lean Innovation, Business, Leadership and much more – with actionable takeaways for you the listener. Ula Ojiaku So I have with me here, Bala Madhusoodhanan, who is a principal architect with a global luxury brand, and he looks after their RPA and AI transformation. So it's a pleasure to have you on the Agile Innovation Leaders podcast, Bala, thank you for making the time. Bala Madhusoodhanan It's a pleasure to have a conversation with the podcast and the podcast audience, Ula. I follow the podcast and there have been fantastic speakers in the past. So I feel privileged to join you on this conversation. Ula Ojiaku Well, the privilege is mine. So could you start off with telling us about yourself Bala, what have been the key points or the highlights of your life that have led to you being the Bala we know now? Bala Madhusoodhanan It's putting self into uncharted territory. So my background is mechanical engineering, and when I got the job, it was either you go into the mechanical engineering manufacturing side or the software side, which was slightly booming at that point of time, and obviously it was paying more then decided to take the software route, but eventually somewhere the path kind of overlapped. So from a mainframe background, started working on supply chain, and then came back to optimisation, tied back to manufacturing industry. Somewhere there is an overlap, but yeah, that was the first decision that probably got me here. The second decision was to work in a UK geography, rather than a US geography, which is again very strange in a lot of my peers. They generally go to Silicon Valley or East Coast, but I just took a choice to stay here for personal reasons. And then the third was like the mindset. I mean, I had over the last 15, 20 years, I had really good mentors, really good peers, so I always had their help to soundboard my crazy ideas, and I always try to keep a relationship ongoing. Ula Ojiaku What I'm hearing is, based on what you said, lots of relationships have been key to getting you to where you are today, both from mentors, peers. Could you expand on that? In what way? Bala Madhusoodhanan The technology is changing quite a lot, at least in the last 10 years. So if you look into pre-2010, there was no machine learning or it was statistics. People were just saying everything is statistics and accessibility to information was not that much, but post 2010, 2011, people started getting accessibility. Then there was a data buzz, big data came in, so there were a lot of opportunities where I could have taken a different career path, but every time I was in a dilemma which route to take, I had someone with whom either I have worked or who was my team lead or manager to guide me to tell me, like, take emotion out of the decision making and think in a calm mind, because you might jump into something and you might like it, you might not like it, you should not regret it. So again, over the course of so many such decisions, my cognitive mind has also started thinking about it. So those conversations really help. And again, collective experience. If you look into the decision making, it's not just my decision, I'm going through conversations that I had with people where they have applied their experience, so it's not just me or just not one situation, and to understand the why behind that, and that actually helps. In short, it's like a collection of conversations that I had with peers. A few of them are visionary leaders, they are good readers. So they always had a good insight on where I should focus, where I shouldn't focus, and of late recently, there has been a community bus. So a lot of things are moving to open source, there is a lot of community exchange of conversation, the blogging has picked up a lot. So, connecting to those parts also gives you a different dimension to think about. Ula Ojiaku So you said community bus, some of the listeners or people who are watching the video might not understand what you mean by the community bus. Are you talking about like meetups or communities that come around to discuss shared interests? Bala Madhusoodhanan If you are very much specifically interested in AI, or you are specifically interested in, power platform or a low code platform, there are a lot of content creators on those topics. You can go to YouTube, LinkedIn, and you get a lot of information about what's happening. They do a lot of hackathons, again, you need to invest time in all these things. If you don't, then you are basically missing the boat, but there are various channels like hackathon or meetup groups, or, I mean, it could be us like a virtual conversation like you and me, we both have some passionate topics, that's why we resonate and we are talking about it. So it's all about you taking an initiative, you finding time for it, and then you have tons and tons of information available through community or through conferences or through meetup groups. Ula Ojiaku Thanks for clarifying. So, you said as well, you had a collection of conversations that helped you whenever you were at a crossroad, some new technology or something emerges or there's a decision you had to make and checking in with your mentors, your peers and your personal Board of Directors almost, that they give you guidance. Now, looking back, would you say there were some turns you took that knowing what you know now, you would have done differently? Bala Madhusoodhanan I would have liked to study more. That is the only thing, because sometimes the educational degree, even though without a practical knowledge has a bigger advantage in certain conversation, otherwise your experience and your content should speak for you and it takes a little bit of effort and time to get that trust among leaders or peers just to, even them to trust saying like, okay, this person knows what he's talking about. I should probably trust rather than, someone has done a PhD and it's just finding the right balance of when I should have invested time in continuing my education, if I had time, I would have gone back two years and did everything that I had done, like minus two years off-set it by two years earlier. It would have given me different pathways. That is what I would think, but again, it's all constraints. I did the best at that point in time with whatever constraints I had. So I don't have any regret per se, but yeah, if there is a magic wand, I would do that. Ula Ojiaku So you are a LinkedIn top voice from AI. How would you define AI, artificial intelligence? Bala Madhusoodhanan I am a bit reluctant to give a term Artificial Intelligence. It's in my mind, it is Artificial Narrow Intelligence, it's slightly different. So let me start with a building block, which is machine learning. So machine learning is like a data labeller. You go to a Tesco store, you read the label, you know it is a can of soup because you have read the label, your brain is not only processing that image, it understands the surrounding. It does a lot of things when you pick that can of soup. You can't expect that by just feeding one model to a robot. So that's why I'm saying like it's AI is a bit over glorified in my mind. It is artificial narrow intelligence. What you do to automate certain specific tasks using a data set which is legal, ethical, and drives business value is what I would call machine learning, but yeah, it's just overhyped and heavily utilised term AI. Ula Ojiaku You said, there's a hype around artificial intelligence. So what do you mean by that? And where do you see it going? Bala Madhusoodhanan Going back to the machine learning definition that I said, it's basically predicting an output based on some input. That's as simple as what we would say machine learning. The word algorithm is basically something like a pattern finder. What you're doing is you are giving a lot of data, which is properly labelled, which has proper diversity of information, and there are multiple algorithms that can find patterns. The cleverness or engineering mind that you bring in is to select which pattern or which algorithm you would like to do for your use case. Now you're channelling the whole machine learning into one use case. That's why I'm going with the term narrow intelligence. Computers can do brilliant jobs. So you ask computers to do like a Rubik's cubes solving. It will do it very quickly because the task is very simple and it is just doing a lot of calculation. You give a Rubik's cube to a kid. It has to apply it. The brain is not trained enough, so it has to cognitively learn. Maybe it will be faster. So anything which is just pure calculation, pure computing, if the data is labelled properly, you want to predict an outcome, yes, you can use computers. One of the interesting videos that I showed in one of my previous talks was a robot trying to walk across the street. This is in 2018 or 19. The first video was basically talking about a robot crossing a street and there were vehicles coming across and the robot just had a headbutt and it just fell off. Now a four year old kid was asked to walk and it knew that I have to press a red signal. So it went to the signal stop. It knew, or the baby knew that I can only walk when it is green. And then it looks around and then walks so you can see the difference – a four year old kid has a contextual awareness of what is happening, whereas the robot, which is supposed to be called as artificial intelligence couldn't see that. So again, if you look, our human brains have been evolved over millions of years. There are like 10 billion neurons or something, and it is highly optimised. So when I sleep, there are different set of neurons which are running. When I speak to you, my eyes and ears are running, my motion sensor neurons are running, but these are all highly optimised. So the mother control knows how much energy should be sent on which neuron, right, whereas all these large language models, there is only one task. You ask it, it's just going to do that. It doesn't have that intelligence to optimise. When I sleep, maybe 90 percent of my neurons are sleeping. It's getting recharged. Only the dream neurons are working. Whereas once you put a model live, it doesn't matter, all the hundred thousand neurons would run. So, yeah, it's in very infancy state, maybe with quantum computing, maybe with more power and better chips things might change, but I don't see that happening in the next five to 10 years. Ula Ojiaku Now, what do you say about Gen AI? Would you also classify generative AI as purely artificial neural intelligence? Bala Madhusoodhanan The thing with generative AI is you're trying to generalise a lot of use cases, say ChatGPT, you can throw in a PDF, you can ask something, or you can say, hey, can you create a content for my blog or things like that, right? Again, all it is trying to do is it has some historical content with which it is trying to come up with a response. So the thing that I would say is humans are really good with creativity. If a problem is thrown at a person, he will find creative ways to solve it. The tool with which we are going to solve might be a GenAI tool, I don't know, because I don't know the problem, but because GenAI is in a hype cycle, every problem doesn't need GenAI, that's my view. So there was an interesting research which was done by someone in Montreal University. It talks about 10 of the basic tasks like converting text to text or text to speech and with a generative AI model or multiple models, because you have a lot of vendors providing different GenAI models, and then they went with task specific models and the thing that they found was the task specific models were cheap to run, very, very scalable and robust and highly accurate, right. Whereas GenAI, if, when you try to use it and when it goes into a production ready or enterprise ready and if it is used by customers or third party, which are not part of your ecosystem, you are putting yourself in some kind of risk category. There could be a risk of copyright issues. There could be a risk of IP issues. There could be risk of not getting the right consent from someone. I can say, can you create an image of a podcaster named Ula? You never know because you don't remember that one of your photos on Google or Twitter or somewhere is not set as private. No one has come and asked you saying, I'm using this image. And yeah, it's finding the right balance. So even before taking the technology, I think people should think about what problem are they trying to solve? In my mind, AI or artificial intelligence, or narrow intelligence can have two buckets, right. The first bucket is to do with how can I optimise the existing process? Like there are a lot of things that I'm doing, is there a better way to do it? Is there an efficient way to do it? Can I save time? Can I save money? Stuff like that. So that is an optimisation or driving efficiency lever. Other one could be, I know what to do. I have a lot of data, but I don't have infrastructure or people to do it, like workforce augmentation. Say, I have 10 data entry persons who are graduate level. Their only job is to review the receipts or invoices. I work in FCA. I have to manually look at it, approve it, and file it, right? Now it is a very tedious job. So all you are doing is you are augmenting the whole process with an OCR engine. So OCR is Optical Character Recognition. So there are models, which again, it's a beautiful term for what our eyes do. When we travel somewhere, we get an invoice, we exactly know where to look, right? What is the total amount? What is the currency I have paid? Have they taken the correct credit card? Is my address right? All those things, unconsciously, your brain does it. Whereas our models given by different software vendors, which have trained to capture these specific entities which are universal language, to just pass, on data set, you just pass the image on it. It just picks and maps that information. Someone else will do that job. But as part of your process design, what you would do is I will do the heavy lifting of identifying the points. And I'll give it to someone because I want someone to validate it. It's human at the end. Someone is approving it. So they basically put a human in loop and, human centric design to a problem solving situation. That's your efficiency lever, right? Then you have something called innovation level - I need to do something radical, I have not done this product or service. Yeah, that's a space where you can use AI, again, to do small proof of concepts. One example could be, I'm opening a new store, it's in a new country, I don't know how the store layout should look like. These are my products. This is the store square footage. Can you recommend me the best way so that I can sell through a lot? Now, a visual merchandising team will have some ideas on where the things should be, they might give that prompt. Those texts can be converted into image. Once you get the base image, then it's human. It's us. So it will be a starting point rather than someone implementing everything. It could be a starting point. But can you trust it? I don't know. Ula Ojiaku And that's why you said the importance of having a human in the loop. Bala Madhusoodhanan Yeah. So the human loop again, it's because we humans bring contextual awareness to the situation, which machine doesn't know. So I'll tie back this to the NLP. So Natural Language Processing, it has two components, so you have natural language understanding and then you have natural language generation. When you create a machine learning model, all it is doing is, it is understanding the structure of language. It's called form. I'm giving you 10,000 PDFs, or you're reading a Harry Potter book. There is a difference between you reading a Harry Potter book and the machine interpreting that Harry Potter book. You would have imagination. You will have context of, oh, in the last chapter, we were in the hilly region or in a valley, I think it will be like this, the words like mist, cold, wood. You started already forming images and visualising stuff. The machine doesn't do that. Machine works on this is the word, this is a pronoun, this is the noun, this is the structure of language, so the next one should be this, right? So, coming back to the natural language understanding, that is where the context and the form comes into play. Just think of some alphabets put in front of you. You have no idea, but these are the alphabet. You recognise A, you recognise B, you recognise the word, but you don't understand the context. One example is I'm swimming against the current. Now, current here is the motion of water, right? My current code base is version 01. I'm using the same current, right? The context is different. So interpreting the structure of language is one thing. So, in natural language understanding, what we try to do is we try to understand the context. NLG, Natural Language Generation, is basically how can I respond in a way where I'm giving you an answer to your query. And this combined is NLP. It's a big field, there was a research done, the professor is Emily Bender, and she one of the leading professors in the NLP space. So the experiment was very funny. It was about a parrot in an island talking to someone, and there was a shark in between, or some sea creature, which basically broke the connection and was listening to what this person was saying and mimicking. Again, this is the problem with NLP, right? You don't have understanding of the context. You don't put empathy to it. You don't understand the voice modulation. Like when I'm talking to you, you can judge what my emotion cues are, you can put empathy, you can tailor the conversation. If I'm feeling sad, you can put a different spin, whereas if I'm chatting to a robot, it's just going to give a standard response. So again, you have to be very careful in which situation you're going to use it, whether it is for a small team, whether it is going to be in public, stuff like that. Ula Ojiaku So that's interesting because sometimes I join the Masters of Scale strategy sessions and at the last one there was someone whose organisational startup was featured and apparently what their startup is doing is to build AI solutions that are able to do sentiment analysis. And I think some of these, again, in their early stages, but some of these things are already available to try to understand the tone of voice, the words they say, and match it with maybe the expression and actually can transcribe virtual meetings and say, okay, this person said this, they looked perplexed or they looked slightly happy. So what do you think about that? I understand you're saying that machines can't do that, but it seems like there are already organisations trying to push the envelope towards that direction. Bala Madhusoodhanan So the example that you gave, sentiment of the conversation, again, it is going by the structure or the words that I'm using. I am feeling good. So good, here is positive sentiment. Again, for me the capability is slightly overhyped, the reason being is it might do 20 percent or 30 percent of what a human might do, but the human is any day better than that particular use case, right? So the sentiment analysis typically works on the sentiment data set, which would say, these are the certain proverbs, these are the certain types of words, this generally referred to positive sentiment or a good sentiment or feel good factor, but the model is only good as good as the data is, right? So no one is going and constantly updating that dictionary. No one is thinking about it, like Gen Z have a different lingo, millennials had a different lingo. So, again, you have to treat it use case by use case, Ula. Ula Ojiaku At the end of the day, the way things currently are is that machines aren't at the place where they are as good as humans. Humans are still good at doing what humans do, and that's the key thing. Bala Madhusoodhanan Interesting use case that I recently read probably after COVID was immersive reading. So people with dyslexia. So again, AI is used for good as well, I'm not saying it is completely bad. So AI is used for good, like, teaching kids who are dyslexic, right? Speech to text can talk, or can translate a paragraph, the kid can hear it, and on the screen, I think one note has an immersive reader, it actually highlights which word it is, uttering into the ears and research study showed that kids who were part of the study group with this immersive reading audio textbook, they had a better grasp of the context and they performed well and they were able to manage dyslexia better. Now, again, we are using the technology, but again, kudos to the research team, they identified a real problem, they formulated how the problem could be solved, they were successful. So, again, technology is being used again. Cancer research, they invest heavily, in image clustering, brain tumours, I mean, there are a lot of use cases where it's used for good, but then again, when you're using it, you just need to think about biases. You need to understand the risk, I mean, everything is risk and reward. If your reward is out-paying the minimum risk that you're taking, then it's acceptable. Ula Ojiaku What would you advise leaders of organisations who are considering implementing AI solutions? What are the things we need to consider? Bala Madhusoodhanan Okay. So going back to the business strategy and growth. So that is something that the enterprises or big organisations would have in mind. Always have your AI goals aligned to what they want. So as I said, there are two buckets. One is your efficiency driver, operational efficiency bucket. The other one is your innovation bucket. Just have a sense check of where the business wants to invest in. Just because AI is there doesn't mean you have to use it right. Look into opportunities where you can drive more values. So that would be my first line of thought. The second would be more to do with educating leaders about AI literacy, like what each models are, what do they do? What are the pitfalls, the ethical awareness about use of AI, data privacy is big. So again, that education is just like high level, with some examples on the same business domain where it has been successful, where it has been not so successful, what are the challenges that they face? That's something that I would urge everyone to invest time in. I think I did mention about security again, over the years, the practice has been security is always kept as last. So again, I was fortunate enough to work in organisations where security first mindset was put in place, because once you have a proof of value, once you show that to people, people get excited, and it's about messaging it and making sure it is very secured, protecting the end users. So the third one would be talking about having secure first design policies or principles. Machine learning or AI is of no good if your data quality is not there. So have a data strategy is something that I would definitely recommend. Start small. I mean, just like agile, you take a value, you start small, you realise whether your hypothesis was correct or not, you monitor how you performed and then you think about scale just by hello world doesn't mean that you have mastered that. So have that mindset, start small, monitor, have constant feedback, and then you think about scaling. Ula Ojiaku What are the key things about ethics and AI, do you think leaders should be aware of at this point in time? Bala Madhusoodhanan So again, ethical is very subjective. So it's about having different stakeholders to give their honest opinion of whether your solution is the right thing to do against the value of the enterprise. And it's not your view or my view, it's a consent view and certain things where people are involved, you might need to get HR, you might need to get legal, you might need to get brand reputation team to come and assist you because you don't understand the why behind certain policies were put in place. So one is, is the solution or is the AI ethical to the core value of the enterprise? So that's the first sense check that you need to do. If you pass that sense check, then comes about a lot of other threats, I would say like, is the model that I'm using, did it have a fair representation of all data set? There's a classic case study on one of a big cloud computing giant using an AI algorithm to filter resumes and they had to stop it immediately because the data set was all Ivy League, male, white, dominant, it didn't have the right representation. Over the 10 years, if I'm just hiring certain type of people, my data is inherently biased, no matter how good my algorithm is, if I don't have that data set. The other example is clarify AI. They got into trouble on using very biased data to give an outcome on some decision making to immigration, which has a bigger ramification. Then you talk about fairness, whether the AI system is fair to give you an output. So there was a funny story about a man and a woman in California living together, and I think the woman wasn't provided a credit card, even though everything, the postcode is the same, both of them work in the same company, and it was, I think it has to do with Apple Pay. Apple Pay wanted to bring in a silver credit card, Apple card or whatever it is, but then it is so unfair that the women who was equally qualified was not given the right credit limit, and the bank clearly said the algorithm said so. Then you have privacy concern, right? So all these generic models that you have that is available, even ChatGPT for that matter. Now you can chat with ChatGPT multiple times. You can talk about someone like Trevor Noah and you can say hey, can you create a joke? Now it has been trained with the jokes that he has done, it might be available publicly. But has the creator of model got a consent saying, hey Trevor, I'm going to use your content so that I can give better, and how many such consent, even Wikipedia, if you look into Wikipedia, about 80 percent of the information is public, but it is not diversified. What I mean by that is you can search for a lot of information. If the person is from America or from UK or from Europe, maybe from India to some extent, but what is the quality of data, if you think about countries in Africa, what do you think about South America? I mean, it is not representing the total diversity of data, and we have this large language model, which has been just trained on that data, right? So there is a bias and because of that bias, your outcome might not be fair. So these two are the main things, and of course the privacy concern. So if someone goes and says, hey, you have used my data, you didn't even ask me, then you're into lawsuit. Without getting a proper consent, again, it's a bad world, it's very fast moving and people don't even, including me, I don't even read every terms and condition, I just scroll down, tick, confirm, but those things are the things where I think education should come into play. Think about it, because people don't understand what could go wrong, not to them, but someone like them. Then there is a big fear of job displacement, like if I put this AI system, what will I do with my workforce? Say I had ten people, you need to think about, you need to reimagine your workplace. These are the ten jobs my ten people are doing. If I augment six of those jobs, how can I use my ten resources effectively to do something different or that piece of puzzle is always, again, it goes back to the core values of the company, what they think about their people, how everything is back, but it's just that needs a lot of inputs from multiple stakeholders. Ula Ojiaku It ties back to the enterprise strategy, there is the values, but with technology as it has evolved over the years, things will be made obsolete, but there are new opportunities that are created, so moving from when people travelled with horses and buggies and then the automotive came up. Yes, there wasn't as much demand for horseshoes and horses and buggies, but there was a new industry, the people who would mechanics or garages and things like that. So I think it's really about that. Like, going back to what you're saying, how can you redeploy people? And that might involve, again, training, reskilling, and investing in education of the workforce so that they're able to harness AI and to do those creative things that you've emphasised over this conversation about human beings, that creative aspect, that ability to understand context and nuance and apply it to the situation. Bala Madhusoodhanan So I was fortunate to work with ForHumanity, an NGO which basically is trying to certify people to look into auditing AI systems. So EU AI Act is now in place, it will be enforced soon. So you need people to have controls on all these AI systems to protect - it's done to protect people, it's done to protect the enterprise. So I was fortunate enough to be part of that community. I'm still working closely with the Operation Research Society. Again, you should be passionate enough, you should find time to do it, and if you do it, then the universe will find a way to give you something interesting to work with. And our society, The Alan Turing Institute, the ForHumanity Society, I had a few ICO workshops, which was quite interesting because when you hear perspectives from people from different facets of life, like lawyers and solicitors, you would think, ah, this statement, I wouldn't interpret in this way. It was a good learning experience and I'm sure if I have time, I would still continue to do that and invest time in ethical AI. As technology, it's not only AI, it's ethical use of technology, so sustainability is also part of ethical bucket if you look into it. So there was an interesting paper it talks about how many data centres have been opened between 2018 to 2024, which is like six years and the power consumption has gone from X to three times X or two times X, so we have opened a lot. We have already caused damage to the environment with all these technology, and just because the technology is there, it doesn't mean you have to use it, but again, it's that educational bit, what is the right thing to do? And even the ESG awareness, people are not aware. Like now, if you go to the current TikTok trenders, they know I need to look into certified B Corp when I am buying something. The reason is because they know, and they're more passionate about saving the world. Maybe we are not, I don't know, but again, once you start educating and, telling those stories, humans are really good, so you will have a change of heart. Ula Ojiaku What I'm hearing you say is that education is key to help us to make informed choices. There is a time and place where you would need to use AI, but not everything requires it, and if we're more thoughtful in how we approach, these, because these are tools at the end of the day, then we can at least try to be more balanced in the risks and taking advantage of opportunities versus the risks around it and the impact these decisions and the tools that we choose to use make on the environment. Now, what books have you found yourself recommending most to people, and why? Bala Madhusoodhanan Because we have been talking on AI, AI Superpower is one book which was written by Kai-Fu Lee. There is this book by Brian Christian, The Alignment Problem: Machine Learning and Human Values alignment of human values and machine it was basically talking about what are the human values? Where do you want to use machine learning? How do you basically come up with a decision making, that's a really interesting read. Then there is a book called Ethical Machines by Reid Blackman. So it talks about all the ethical facets of AI, like biases, fairnesses, like data privacy, transparency, explainability, and he gives quite a detail, example and walkthrough of what that means. Another interesting book was Wanted: Human-AI Translators: Artificial Intelligence Demystified by a Dutch professor, again, really, really lovely narration of what algorithms are, what AI is, where, and all you should think about, what controls and stuff like that. So that is an interesting book. Harvard Professor Kahrim Lakhani, he wrote something called, Competing in the Age of AI, that's a good book. The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You by Mike Walsh is another good book, which I finished a couple of months back. Ula Ojiaku And if the audience wants to find you, how can they reach out to you? Bala Madhusoodhanan They can always reach out to me at LinkedIn, I would be happy to touch base through LinkedIn. Ula Ojiaku Awesome. And do you have any final words and or ask of the audience? Bala Madhusoodhanan The final word is, again, responsible use of technology. Think about not just the use case, think about the environmental impact, think about the future generation, because I think the damage is already done. So, at least not in this lifetime, maybe three or four lifetimes down the line, it might not be the beautiful earth that we have. Ula Ojiaku It's been a pleasure, as always, speaking with you, Bala, and thank you so much for sharing your insights and wisdom, and thank you for being a guest on the Agile Innovation Leaders Podcast. Bala Madhusoodhanan Thank you, lovely conversation, and yeah, looking forward to connecting with more like minded LinkedIn colleagues. Ula Ojiaku That's all we have for now. Thanks for listening. If you liked this show, do subscribe at www.agileinnovationleaders.com or your favourite podcast provider. Also share with friends and do leave a review on iTunes. This would help others find this show. I'd also love to hear from you, so please drop me an email at ula@agileinnovationleaders.com Take care and God bless!   

How should we treat our one and only home, Earth? What obligations do we have to other living or non-living things? How should we think about climate change and its denial? How does biodiversity and species extinction impact human beings? And how should we think about environmental justice, the rights of animals, and the ways we consume the natural world?In this episode, Ryan McAnnally-Linz welcomes Ryan Darr (Assistant Professor, Yale Divinity School) to reflect on some of the most pressing issues in environmental ethics and consider them through philosophical, ecological, and theological frameworks.Together they discuss:What and who matters in environmental ethics: Only humans? Only sentient animals? Every life form? The inorganic natural world?The significance and difference between global and individual scale of climate issuesThe ethics of climate change denialEnvironmental justice and moral obligations to the environment—the question of what we owe to animals and the rest of the natural worldThe importance of biodiversity and the impact of species loss and extinctionThe ethics of eating animalsThe problems with human consumption of the natural worldAnd the impact of cultivating a wider moral imagination of our ecological futureAbout Ryan DarrRyan Darr Ryan Darr is Assistant Professor of Religion, Ethics, and Environment at Yale Divinity School. His research interests include environmental ethics, multispecies justice, structural injustice, ethical theory, and the history of religious and philosophical ethics. He is currently writing a book that defends an account of environmental and multispecies justice as a framework for thinking ethically about the crisis of biodiversity loss and mass extinction. He is also developing an ongoing research project exploring the relationship between individual agency and responsibility and structural justice and injustice with a particular focus on environmental and climate issues.His first book, The Best Effect: Theology and the Origins of Consequentialism, was published by the University of Chicago Press in 2023. The book offers a new, robustly theological story of the origin of consequentialism, one of the most influential views in modern moral theory. It uses the new historical account to intervene in contemporary ethical debates about consequentialism and about how ethicists conceive of goods, ends, agency, and causality.Prior to joining the YDS faculty, Ryan held postdoctoral fellowships at the Princeton University Center for Human Values (2019-22) and the Yale Institute of Sacred Music (2022-24).Show NotesGet your copy of Ryan Darr's The Best Effect: Theology and the Origins of ConsequentialismComplex ethical questions about climate changeEnmeshed in environmental systemsA crash course in environmental ethicsWhich entities should we be thinking about ethically?Are human beings the most important morally and ethically speaking?What about animals, plants, or other kinds of life?What about other species of animalsAnthropocentrism: Only humans matter.Sentientism: Only sentient animals matterBiocentrism: Every life form mattersCan we apply justice and rights to animals?The polar bear on melting ice was the poster child for climate change; but this was a mistake because the effects on human beings is massive.“All of us are affected.”“We're all vulnerable to climate change. …. kidding themselves and need to think more about this.”Global southClimate negotiations: Who needs to lower emissions and how? And how do we adapt?Massive overwhelm at the scope of environmental problems: “Only massive changes can make a difference.” But “I have to change my life.”How should we navigate the scale issue?Don't let large scale or small scale issues or changes eclipse the other.Political action is crucial“We need people willing to respond in the ways they can, where they are.”Climate change denial“There's a lot of money flowing here.” Fossil fuel interests and others muddy the waters and create conflicts“If it's the case that millions of lives are at stake … I don't see how some doubtReasons why people might deny climate change“It'd be nice if climate change wasn't real, but …”Environmental justice and injusticeToxicities released into the natural environmentConservation and biodiversity lossApproximately 8 million species on earthIt's standard to lose a handful per million per yearGenerally, you're supposed to get more species on earth, short of a mass extinction eventBut extinction rate is something like 100x to 1000x fasterDefaunation—reduction of fauna on earthMeasuring the biomass of various species (Humans make up 30% of the world's biomass.)Changes linked to colonialism and global capitalismWhy would God have created such a diverse speciesThomas Aquinas on why God created a world full of biodiversity: to reflect God's extensive perfection“On this view, the world is show lessWhat are the ethics ofExample: Wolves were intentionally eradicated in America, because “who wants a wolf in their neighborhood.”Justice-oriented “Rights” and what we owe to each other, versus non-justiceDo we have obligations to animals?Example: Kicking a Cat“The Incredulous Stare”Jainism and “ahiṃsā” (non-injury, no-harm, or non-violence toward all life forms, down to microbes)“I'm inclined to think that I have obligations to almost all animals.”At least “animals who are sentient”—desires, frustration of desires, pain, etc.Is it permissible to eat meat?Factory-farmed meat (effectively tormented)Animal life has become commodity—valuable solely because of its use and with no regard for their well-being.Consumers, Producers, and Wendell Berry: How should social roles relate to each other?“Any question about justice have to begin from concrete social positions.”Maintaining action and creativityPractical recommendation for action to align our lives with our values“I read fiction and short stories that tell stories of human beings in futures drastically affected by climate change as a way to open up my imagination to what's possible.”Dystopian narratives: leading to a sense of futility and hopelessness.“I don't think we know where anything is headed.”“Humans have lived through upheaval so many times, and have found ways. … ‘People kept on baking bread as the Roman Empire fell.'”Yale Divinity School class: “Eco-Futures”—imagining lives lived well in painful situationsIf not hope, a sense of determination to do what can be done with the time that we have.Kim Stanley Robinson's The Ministry for the Future: a technocratic novel about politics and policy solutionsShort fiction on Grist—Imagine 2200: Write the FutureMargaret Atwood, Everything ChangeProduction NotesThis podcast featured Ryan Darr and Ryan McAnnally-LinzEdited and Produced by Evan RosaHosted by Evan RosaProduction Assistance by Macie Bridge, Alexa Rollow, Zoë Halaban, Kacie Barrett, and Emily BrookfieldA Production of the Yale Center for Faith & Culture at Yale Divinity School https://faith.yale.edu/aboutSupport For the Life of the World podcast by giving to the Yale Center for Faith & Culture: https://faith.yale.edu/give

For many students, the idea of living on campus far away from home can be a hard transition. In this week's episode, we are joined by Ashley Mentor, Resident Assistant (RA) and Graduating Senior at the University of Arizona. Ashley is currently majoring in Speech, Language and Hearing Sciences, while also serving as an RA for many anxious students learning to adapt to their new environment on campus. Find out why this first-generation student decided to become an RA and learn how to conquer homesickness and build strong relationship skills through group workshops that may be available right inside your dormitory. ⁠ Ashley is currently completing her major in Speech, Language, and Hearing Sciences, and her minor in Health and Human Values in the W.A. Franke Honors College at the University of Arizona. She plans to attend graduate school for Speech-Language Pathology and serve populations that haven been underserved and/or historically marginalized to improve their speech services. In addition to being a Resident Assistant on campus, she is the Vice President and New Member Educator of the Prestigious Pi Xi Chapter of Zeta Phi Beta Sorority, Inc. To learn more about Ashley, connect with her on IG @ashleymentor_ or visit her on LinkedIn. ⁠

https://itsvucamax.com/ FB: https://www.facebook.com/schindler1 INSTA: https://www.instagram.com/opmilfam TWITTER: https://twitter.com/itsvuca LINKEDIN: https://www.linkedin.com/in/mjschindler/ WEBSITES: https://www.opmilfam.com & https://www.itsvuca.com What if today's AI world is just a mere fraction of the earth-shattering technologies that will shake up your future world? What if every major industry on earth were on the verge of reinvention, and those changes are coming at you at warp speed? What if there were a program to take you beyond the cloak of chaos, uncertainty, and fear so that you thrive, achieve and lead in the 21st century? Edward O. Wilson wrote, “The real problem of humanity now is – we have paleolithic brains, medieval systems, and godlike technology.” Mike Schindler is a renowned keynote speaker, US Navy veteran, the national podcast host of The Military Wire and author of three top books. His new co-authored book titled, The Rise of Humanness, The VUCA MAX system for expanding Human Value in the Age of AI, takes readers through the gateway of doubt to doing, and failure to flourishing in the 21st century. As CEO of Operation Military Family, Mike is an expert on leadership development, negotiation secrets, and veteran transition issues. He is also the Co-Executive Producer with 3 times Emmy Award winning recipient Chris Nolan of IT'S VUCA: The Secret to Living in the 21st Century. This full-length documentary film highlights 17 of our nation's top experts on how to navigate and flourish in a chaotic and changing world. Mike has been featured on USA Today, CBS Radio, Entrepreneur Radio, the Lars Larson Show, and others. Since 2012, he has collaborated with large companies, training employees on conscious leadership, antifragile resilience and confidence coaching to flip the script on their old life story. Mike has helped over 10,000 individuals realize their true mission, purpose, and identity in life.

Tune in to Mindful Conversation Episode 5 with Dr. Sampath, Ph.D., a renowned entrepreneur and author, as he unravels the essence of Embracing Human Values for Growth. Discover how core values and self-inquiry drive personal growth and transform lives. Hosted by Sandy, this insightful podcast on TALRadio English will leave you inspired to live with purpose and integrity. Tune into TALRadio English on Spotify and Apple Podcast. Host : Sandy Expert : Dr.Sampath, Ph.D For more such insights, follow Instagram: https://www.instagram.com/thesoulkathas YouTube: https://youtube.com/@thesoulkathas #HumanValues #PersonalGrowth #MindfulConversation #CoreValues #SelfInquiry #ProfessionalGrowth #LifeTransformation #Entrepreneurship #LiveWithPurpose #Inspiration

In this episode, Sticky From The Inside host Andy Goram chats with Mike Horne, author of The People Dividend, about breaking down workplace isolation and building real connection at work. Discover why so many employees feel like "cogs in the machine" and how leaders can change this by embracing dignity, kindness, and respect. Mike and Andy tackle timely issues like AI's role in the workplace, the potential of a 4-day workweek, and the simple actions that create genuine belonging and engagement. Tune in for some simple, but powerful insights that just might change the way you view work and leadership! ----more---- Key Takeaways Practical actions to reduce feelings of isolation and create a more connected, human-centred workplace. Why small actions like a genuine "hello" can foster inclusion and strengthen team bonds. Dignity, kindness, and respect aren't "soft skills" but essential elements of effective leadership. How AI and the 4-day week can either enhance or challenge workplace connection and collaboration. Practical ways leaders can shift from viewing employees as resources to recognizing their inherent value. ----more---- Key Moments The key moments in this episode are: 00:01:10 - Introduction to Human-Centered Leadership 00:06:56 - Understanding the People Dividend: Mike Horne's Perspective 00:09:23 - The Role of Human Values in Modern Leadership 00:10:12 - Strategies for Building Connection and Reducing Isolation at Work 00:25:18 - Embracing a 4-Day Workweek and Adapting to AI 00:34:43 - Challenges and Opportunities of Human-Centered Leadership in the AI Era 00:40:34 - Key Takeaways: Cultivating the People Dividend Through Human Values and Leadership ----more---- Join The Conversation Find Andy Goram on LinkedIn here Listen to the Podcast on YouTube here Follow the Podcast on Instagram here Follow the Podcast on Twitter here Follow the Podcast on Facebook here Check out the Bizjuicer website here Get a free consultation with Andy here Check out the Bizjuicer blog here Download the podcast here ----more---- Useful Links Follow Mike Horne on LinkedIn here Find Mike's website here ----more---- Full Episode Transcript Get the full transcript of the episode here

******Support the channel****** Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter PayPal Subscription 1 Dollar: https://tinyurl.com/yb3acuuy PayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9l PayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpz PayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9m PayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao   ******Follow me on****** Website: https://www.thedissenter.net/ The Dissenter Goodreads list: https://shorturl.at/7BMoB Facebook: https://www.facebook.com/thedissenteryt/ Twitter: https://x.com/TheDissenterYT   This show is sponsored by Enlites, Learning & Development done differently. Check the website here: http://enlites.com/   Dr. Brian Leiter is Karl N. Llewellyn Professor of Jurisprudence at the University of Chicago Law School and founder and Director of Chicago's Center for Law, Philosophy and Human Values. His teaching and research interests are in moral, political, and legal philosophy, in both the Anglophone and Continental European traditions, and the law of evidence. Dr. Jaime Edwards is a Lecturer in Law at the University of Chicago, where he teaches political philosophy. They are authors of Marx.   In this episode, we focus on Marx. We start by talking a bit about Marx's background and intellectual development. We then go through some of his main ideas, including historical materialism; class, class struggle, and class consciousness; the positive and negative aspects of capitalism; communism; human nature and the good life; alienation; and culture and ideology. We also talk about Marx's legacy and influence, and discuss the Frankfurt School, Feminist Marxism, and aspects of Marxism that are still worth considering. -- A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, JERRY MULLER, BERNARDO SEIXAS, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, FILIP FORS CONNOLLY, ROBERT WINDHAGER, RUI INACIO, ZOOP, MARCO NEVES, COLIN HOLBROOK, PHIL KAVANAGH, SAMUEL ANDREEFF, FRANCIS FORDE, TIAGO NUNES, FERGAL CUSSEN, HAL HERZOG, NUNO MACHADO, JONATHAN LEIBRANT, JOÃO LINHARES, STANTON T, SAMUEL CORREA, ERIK HAINES, MARK SMITH, JOÃO EIRA, TOM HUMMEL, SARDUS FRANCE, DAVID SLOAN WILSON, YACILA DEZA-ARAUJO, ROMAIN ROCH, DIEGO LONDOÑO CORREA, YANICK PUNTER, CHARLOTTE BLEASE, NICOLE BARBARO, ADAM HUNT, PAWEL OSTASZEWSKI, NELLEKE BAK, GUY MADISON, GARY G HELLMANN, SAIMA AFZAL, ADRIAN JAEGGI, PAULO TOLENTINO, JOÃO BARBOSA, JULIAN PRICE, EDWARD HALL, HEDIN BRØNNER, DOUGLAS FRY, FRANCA BORTOLOTTI, GABRIEL PONS CORTÈS, URSULA LITZCKE, SCOTT, ZACHARY FISH, TIM DUFFY, SUNNY SMITH, JON WISMAN, WILLIAM BUCKNER, PAUL-GEORGE ARNAUD, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ALEX CHAU, AMAURI MARTÍNEZ, CORALIE CHEVALLIER, BANGALORE ATHEISTS, LARRY D. LEE JR., OLD HERRINGBONE, MICHAEL BAILEY, DAN SPERBER, ROBERT GRESSIS, IGOR N, JEFF MCMAHAN, JAKE ZUEHL, BARNABAS RADICS, MARK CAMPBELL, TOMAS DAUBNER, LUKE NISSEN, KIMBERLY JOHNSON, JESSICA NOWICKI, LINDA BRANDIN, GEORGE CHORIATIS, VALENTIN STEINMANN, PER KRAULIS, ALEXANDER HUBBARD, BR, MASOUD ALIMOHAMMADI, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, LUCY, MANVIR SINGH, PETRA WEIMANN, CAROLA FEEST, STARRY, MAURO JÚNIOR, 航 豊川, TONY BARRETT, BENJAMIN GELBART, NIKOLAI VISHNEVSKY, STEVEN GANGESTAD, AND TED FARRIS! A SPECIAL THANKS TO MY PRODUCERS, YZAR WEHBE, JIM FRANK, ŁUKASZ STAFINIAK, TOM VANEGDOM, BERNARD HUGUENEY, CURTIS DIXON, BENEDIKT MUELLER, THOMAS TRUMBLE, KATHRINE AND PATRICK TOBIN, JONCARLO MONTENEGRO, AL NICK ORTIZ, NICK GOLDEN, AND CHRISTINE GLASS! AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER, SERGIU CODREANU, BOGDAN KANIVETS, ROSEY, AND GREGORY HASTINGS!

It's a wonder democracy works at all -- a collection of people with potentially different interests have to agree to abide by majority vote even when it goes against their desires. But as we know, it doesn't always work, and racial and ethnic tensions are one of its biggest challenges. Hahrie Han studies the ground-up workings of democracy, how people can come together to successfully enact change. In her new book Undivided: The Quest for Racial Solidarity in an American Church, she investigates an example where democracy apparently has worked remarkably well, and asks what lessons we can draw from it.Support Mindscape on Patreon.Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/09/23/290-hahrie-han-on-making-multicultural-democracy-work/Hahrie Han recieved her Ph.D. in political science from Stanford University. She is currently the Director of the SNF Agora Institute, the Stavros Niarchos Foundation Professor of Political Science, and Faculty Director of the P3 Research Lab at Johns Hopkins University. She was named the Social Innovation Thought Leader of the Year by the World Economic Forum, is a Fellow of the American Academy of Arts and Sciences, and gave the 2024 Tanner Lectures on Human Values at Harvard University, among other awards.Web siteJohns Hopkins web pageGoogle Scholar publicationsAmazon author pageSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Subscribe, Rate, & Review on YouTube • Spotify • Apple Podcasts✨ About This EpisodeHow can we design virtuous technologies while acknowledging the complexity and unintended consequences of technological innovation?How can we foster curiosity, playfulness, and wonder in a world increasingly dominated by anxiety and technological determinism?This week on Future Fossils (as a teaser for the kind of conversations I am having for my upcoming spin-off Humans On The Loop), I meet with Stockholm-based transdisciplinary technologist, facilitator, complexity researcher, founder of The Psychedelic Society, and once upon a time the youngest-ever board member of Greenpeace UK, Stephen Reid to discuss the importance of taking a more values-driven approach to technology development. Stephen and I agree that it's crucial to consider the potential consequences of technological advancements and to promote a more thoughtful approach to innovation…but for the sake of playing with tension, he places more of an emphasis on our capacity for axiological design whereas I feel more of a need to point out that the rapid evolution of technology can outpace our ability to predict its consequences, troubling efforts to design an enduringly sustainable future. One thing we agree on, and model in this episode, is the value of deeper conversations about the role of technology in society…and how to integrate their transformative potentials.PS — I'm guest lecturing for Stephen's upcoming four-week course on Technological Metamodernism soon, along with Alexander Beiner and Hanzi Freinacht and Ellie Hain and Rufus Pollock. We'll engage critically with ideas like Daniel Schmachtenberger's axiological design and Vitalik Buterin's d/acc. As usual I'm probably the odd duck in this lineup, going hard on epistemic humility and the injunction of digital media to effect a transformation of the modern self-authoring ego into networked, permeable, transjective sub-agencies arising spontaneously and fluidly from fundamentally noncomputable interactions of rapid information flows... Anyway, the point is we'd love to have you join us and sink your teeth into these discussions! I absolutely promise to bring up voting cyborg ecotopes. Big thanks to Stephen for inviting me to play!PPS — Here is another really good, very different conversation between me and Stephen and Alistair Langer on Alistair's show Catalyzing Radical Systems Change.(Editorial Correction: It was Mike Tyson, not Muhammad Ali, who said "Everyone has a plan until they get punched in the mouth.")✨ Support This Work• Hire me as a consultant or advisor• Become a patron on Substack or Patreon• Help me find backers for Humans On The Loop• Buy the books we discuss from my Bookshop reading list• Buy original paintings and prints or commission new work• Join the conversation in the Holistic Technology & Wise Innovation and Future Fossils Discord servers• Buy the show's music on Bandcamp — intro “Olympus Mons” from the Martian Arts EP & outro “Sonnet A” from the Double-Edged Sword EP• Make one-off donations at @futurefossils on Venmo, $manfredmacx on CashApp, or @michaelgarfield on PayPal✨ Chapters(0:00:00-0:10:29) Stephen's Background and Interests in Technology and Metamodernism (0:10:29-0:18:03) Navigating the Complex Relationship Between Technology and Human Values (0:18:03-0:25:18) The Limits of Axiological Design and the Importance of Community Oversight (0:25:18-0:34:29) Defining and Defending Axiological Design (0:34:29-0:45:03) Exploring Alternative Governance Structures: Guilds and Rites of Passage (0:45:03-0:56:36) Vitalik Buterin's "Defensive Decentralized Accelerationism" (0:56:36-1:06:04) Integrating Humor and Recognizing Irony in the Technosphere(1:06:04-1:12:17) Recovering Awe, Curiosity, and Playfulness in a Tech-Saturated World (1:12:17- 1:12:56) Finding Lightness in the Face of Existential Questions (1:12:56-1:13:28) Exploring The Future and A Call to Action✨ MentionsIain McGilchrist, Daniel Schmachtenberger, Hanzi Freinacht, Josh Schrei, Ken Wilber, Vitalik Buterin, Bayo Akomolafe, Cory Doctorow, Nora Bateson, Dave Snowden, W. Brian Arthur, J. F. Martel, Stafford Beer, Rene Descartes, Bill Plotkin, Joe Edelman, Ellie Hain, Douglas Rushkoff, Robert Kegan, Aldous Huxley, Andrés Gomez Emilsson✨ Select Related Episodes (also available as a Spotify playlist)223 - Timothy Morton, 220 - Austin Wade-Smith219 - Joshua Schrei217 - Gregory Landua and Speaker John Ash214 - Megan Phipps, JF Martel, Phil Ford213 - Amber Case, Michael Zargham212 - Geoffrey West, Manfred Laubichler187 - Kevin Welch, David Hensley178 - Chris Ryan176 - Richard Doyle, Sophie Strand, Sam Gandy174 - Evan Snyder172 - Tyson Yunkaporta166 - Anna Riedl165 - Kevin Kelly163 - Toby Kiers, Brandon Quittem141 - Nora Bateson122 - Magenta Ceiba109 - Bruce Damer094 - Mark Nelson086 - Onyx Ashanti080 - George Dvorsky076 - Technology as Psychedelic Parenting066 - John Danaher060 - Sean Esbjörn-Hargens056 - Sophia Rokhlin051 - Daniel Schmachtenberger050 - Ayana Young042 - William Irwin Thompson017 - Tibet Sprague This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit michaelgarfield.substack.com/subscribe

Effective altruism is a philosophical and social movement that uses empirical data to maximize the impact of charitable efforts. Those who champion EA praise its methodological framework for maximizing the effectiveness of donations, thus ensuring equal consideration for all individuals. Those who challenge EA argue that its emphasis on measurable outcomes may overlook important yet hard-to-quantify causes, potentially restricting the scope of what's considered beneficial. Now we debate: Does the Effective Altruism Movement Get Giving Right?     Arguing Yes: Peter Singer, Author of “The Most Good You Can Do”; Philosopher and Professor Emeritus of Bioethics at the University Center for Human Values at Princeton University     Arguing No: Alice Crary, Co-Editor of “The Good it Promises, The Harm it Does: Critical Essays on Effective Altruism”; University Distinguished Professor of Philosophy at The New School for Social Research    Emmy award-winning journalist John Donvan moderates  Learn more about your ad choices. Visit podcastchoices.com/adchoices