50 episodes listed below
AI, culture, and human agency in conversation.
Stay Human is an interview and research-driven show from the Artificiality Institute about life alongside synthetic intelligence. Its conversations move between AI theory, humanities, healthcare, sales systems, Maori data sovereignty, and the everyday ways people hand meaning to machines.
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Stay Human is a podcast from the Artificiality Institute about the human side of artificial intelligence. Its center of gravity is not product news or model demos. It asks what changes when synthetic intelligence enters language, judgment, work, medicine, culture, and self-understanding. The show’s conversations are deliberate and research-minded, often beginning with a book, theory, or public talk and widening into questions about how people make meaning with machines. Nina Beguš’s episode connects Pygmalion, Eliza Doolittle, early chatbots, and modern projection onto AI systems. Blaise Agüera y Arcas pushes the frame outward, treating intelligence as something distributed across humans, machines, energy systems, and collaboration. Steven Sloman’s return turns toward conviction, sacred values, social identity, outrage, and the psychological cost of refusing consequential thinking. Ellie Pavlick brings the conversation into language, foundation models, symbols, minds, and the messy empirical work of studying intelligence. Other episodes ground the show in lived systems: Susannah Fox on patient-led healthcare, Omri Allouche on trusted AI inside sales work, and Karaitiana Taiuru on Maori rights, data sovereignty, cultural preservation, and AI’s colonial risks. The show is comfortable with complexity. It does not rush every question toward a neat answer. Its register is thoughtful, institutional, and curious, with enough personal reflection to keep the scholarship from becoming sterile. The recurring concern is agency: who gets to define intelligence, who benefits from automation, and who loses authority when machines speak fluently. It is especially strong when the topic sits between disciplines. Literature meets machine learning. Healthcare meets peer networks. Indigenous knowledge meets governance. Cognitive science meets everyday political conflict. Stay Human suits listeners who want AI discussed as a force reshaping human identity, not merely as software getting faster.
Made for: For listeners who follow AI closely but want more than industry updates. It fits people interested in philosophy, healthcare, research, ethics, language, and the social consequences of intelligent systems.
What sets it apart: The show treats AI as a human experience shaped by stories, institutions, values, and power. Its strength is connecting technical change to literature, cognition, patient empowerment, Maori sovereignty, and everyday dependence on machines.
Exploring how AI changes the way we think, who we become, and what it means to be human. We explore how AI changes the way we think, who we become, and what it means to be human. We believe AI shouldn't just be safe or efficient—it should be worth it. Through story-based research, education, and community, we help people choose the relationship they want with machines—so they remain the authors of their own minds.
Eliza Doolittle enters the chatbot conversation, and your very modern questions start looking older.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A literary history of speech, projection, and dependence gives familiar AI behavior an unexpectedly old shape.
Nina Beguch's Artificial Humanities traces a literary prehistory for AI's human-seeming language, moving from Galatea to Shaw's Eliza Doolittle and the social power of speech.
A broad, thoughtful episode connecting cyborg bodies, steam power, and intelligence as a human system.
Blaise Aguilera-Arcas's review of What Is Intelligence? treats intelligence less as a trait inside a single mind than as something built through tools, bodies, energy, and shared systems.
Steve Sloman explores how sacred values can harden conviction, outrage, and resistance to compromise.
Steve Sloman treats conviction as something that shapes how people decide, not just what they believe. Drawing on ideas from The Cost of Conviction, the episode moves from how people gather knowledge and make choices to how social groups supply beliefs that can become part of a…
A thoughtful conversation about how AI unsettles the way researchers define minds, intelligence, and impact.
Ellie Pavlik's conversation sits with a useful shift in AI research: older symbolic ideas of mind giving way to a less tidy neural-network picture, while intelligence remains hard to define cleanly.
A thoughtful keynote on human exceptionalism under pressure from planetary-scale artificial intelligence.
Helen and Dave Edwards, co-founders of the Artificiality Institute, frame AI less as a tool than as a pressure on human self-understanding. Their keynote moves from personal experience to planetary-scale systems that sense, predict, respond, and generate, then roots the…
Specialists walking through software's tradeoffs, one system at a time.
Founders and engineers on AI coding agents like Claude Code, and supply chain security.
The hosts introduce Nina Beguš and her book 'Artificial Humanities: A Fictional Perspective on Language in AI', discussing its origins as a dissertation and its relevance to biases in AI.
Blaise Agüera y Arcas discusses his new book 'What is Intelligence?' and its ambitious scope.
Steven Sloman discusses his new book 'The Cost of Conviction' about two modes of decision-making: consequentialist and sacred values.
Ellie Pavlick discusses the AI paradigm shift and her evolving perspective on AI research.
Helen and Dave Edwards discuss how AI is transforming human experience and becoming synthetic, based on their research at the Artificiality Institute.
Tess Posner uses her St.
Eric Schwitzgebel uses the possibly conscious United States to show how materialist theories can make familiar boundaries feel uncertain.
John Pasmore says Latimer is an inclusive LLM, and more than 400 schools had signed up when he last checked.
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Omri Allouche, VP of Research at Gong, discusses his journey from computational ecology to leading AI research for a revenue intelligence platform that analyzes B2B sales conversations.
Susannah Fox discusses her book 'Rebel Health' and the patient-led revolution in healthcare, introducing four key personas of patient innovators.
Ed Sim, founder of Boldstart, discusses his approach to investing in AI startups, emphasizing solving real problems over chasing trends, with a focus on AI security.
This episode revisits a 2022 interview with Barbara Tversky, discussing how her research on spatial reasoning and embodied cognition is relevant to the development of large multimodal models in AI.