web02.fireside.fm Sun, 19 Apr 2026 23:30:24 -0500 Fireside (https://fireside.fm) On Wisdom - Episodes Tagged with “Artificial Intelligence” https://onwisdompodcast.fireside.fm/tags/artificial%20intelligence Sun, 16 Nov 2025 14:00:00 -0500 On Wisdom features a social and cognitive scientist in Toronto and an educator in London discussing the latest empirical science regarding the nature of wisdom. Igor Grossmann runs the Wisdom & Culture Lab at the University of Waterloo in Canada. Charles Cassidy runs the Evidence-Based Wisdom project in London, UK. The podcast thrives on a diet of freewheeling conversation on wisdom, decision-making, wellbeing, and society and includes regular guests spots with leading behavioral scientists from the field of wisdom research and beyond. Welcome to The On Wisdom Podcast. en-us episodic What does science tell us about wisdom? Charles Cassidy and Igor Grossmann On Wisdom features a social and cognitive scientist in Toronto and an educator in London discussing the latest empirical science regarding the nature of wisdom. Igor Grossmann runs the Wisdom & Culture Lab at the University of Waterloo in Canada. Charles Cassidy runs the Evidence-Based Wisdom project in London, UK. The podcast thrives on a diet of freewheeling conversation on wisdom, decision-making, wellbeing, and society and includes regular guests spots with leading behavioral scientists from the field of wisdom research and beyond. Welcome to The On Wisdom Podcast. no psychology, science, happiness, philosophy, wisdom, decision-making, reasoning, society Charles Cassidy and Igor Grossmann charlesdavidcassidy@gmail.com 67: The Wisdom Turing Test - Part Two (with Steve Rathje) https://onwisdompodcast.fireside.fm/67 f4899082-8f1e-4252-805b-4fc889eb1313 Sun, 16 Nov 2025 14:00:00 -0500 Charles Cassidy and Igor Grossmann 67 The Wisdom Turing Test - Part Two (with Steve Rathje) full Charles Cassidy and Igor Grossmann What can insights from the psychology of technology teach us about wisdom in the age of AI? In this special follow-up episode, Igor and Charles are joined by Steve Rathje to explore how classic ideas like the Turing Test hold up now that AI can talk compellingly about human wisdom. Steve unpacks what today’s generative models are actually capable of, Igor is intrigued by how quickly the line between human and machine reasoning seems to be blurring, and Charles realises that telling human insight from machine insight isn’t nearly as straightforward as he'd hoped. The trio also reveal the results of our listener poll — who sounded the wisest, and was the audience able to spot the AI? Welcome to Episode 67. 49:58 no What can insights from the psychology of technology teach us about wisdom in the age of AI? In this special follow-up episode, Igor and Charles are joined by Steve Rathje to explore how classic ideas like the Turing Test hold up now that AI can talk compellingly about human wisdom. Steve unpacks what today’s generative models are actually capable of, Igor is intrigued by how quickly the line between human and machine reasoning seems to be blurring, and Charles realises that telling human insight from machine insight isn’t nearly as straightforward as he'd hoped. The trio also reveal the results of our listener poll — who sounded the wisest, and was the audience able to spot the AI? Welcome to Episode 67. Special Guest: Steve Rathje. wisdom, psychology, philosophy, social science, happiness, well being, meaning, reasoning, emotions, purpose, Steve Rathje, Turing Test, artificial intelligence, The Chinese Room, psychology of technology, AI sycophancy, social media, listener poll, wisdom turing test, Alan Turing, Benedict Cumberbatch What can insights from the psychology of technology teach us about wisdom in the age of AI? In this special follow-up episode, Igor and Charles are joined by Steve Rathje to explore how classic ideas like the Turing Test hold up now that AI can talk compellingly about human wisdom. Steve unpacks what today’s generative models are actually capable of, Igor is intrigued by how quickly the line between human and machine reasoning seems to be blurring, and Charles realises that telling human insight from machine insight isn’t nearly as straightforward as he'd hoped. The trio also reveal the results of our listener poll — who sounded the wisest, and was the audience able to spot the AI? Welcome to Episode 67.

Special Guest: Steve Rathje.

Links:

]]> What can insights from the psychology of technology teach us about wisdom in the age of AI? In this special follow-up episode, Igor and Charles are joined by Steve Rathje to explore how classic ideas like the Turing Test hold up now that AI can talk compellingly about human wisdom. Steve unpacks what today’s generative models are actually capable of, Igor is intrigued by how quickly the line between human and machine reasoning seems to be blurring, and Charles realises that telling human insight from machine insight isn’t nearly as straightforward as he'd hoped. The trio also reveal the results of our listener poll — who sounded the wisest, and was the audience able to spot the AI? Welcome to Episode 67.

Special Guest: Steve Rathje.

Links:

]]> 66: The Wisdom Turing Test - Part One https://onwisdompodcast.fireside.fm/66 e078de22-6319-496f-b95f-a62835e28e7f Sun, 26 Oct 2025 09:00:00 -0400 Charles Cassidy and Igor Grossmann 66 The Wisdom Turing Test - Part One full Charles Cassidy and Igor Grossmann What happens when we ask our own fantastic listeners — and AI — what it means to live wisely? In this episode, Igor and Charles hand the mic to members of the On Wisdom audience to hear their answers to the big questions usually reserved for scientists and philosophers. But there’s a twist: one set of responses was provided by AI. We invite you to vote on who gave the wisest answers — and to guess which one wasn’t human. Igor is surprised by just how insightful the answers from the regular folk (compared to experts) turn out to be, while Charles wonders if the wisest one may not be human at all? Can you pass the Wisdom Turing Test? Welcome to Episode 66. 40:42 no What happens when we ask our own fantastic listeners — and AI — what it means to live wisely? In this episode, Igor and Charles hand the mic to members of the On Wisdom audience to hear their answers to the big questions usually reserved for scientists and philosophers. But there’s a twist: one set of responses was provided by AI. We invite you to vote on who gave the wisest answers — and to guess which one wasn’t human. Igor is surprised by just how insightful the answers from the regular folk (compared to experts) turn out to be, while Charles wonders if the wisest one may not be human at all? Can you pass the Wisdom Turing Test? Welcome to Episode 66. Link to Listener Poll here (https://docs.google.com/forms/d/e/1FAIpQLSePLVkKDHKButOmx7ApJ2hR0bvwsOFdgpHDI_R6RDBZNovH8Q/viewform?usp=dialog) wisdom, psychology, philosophy, social science, happiness, well being, meaning, reasoning, emotions, purpose, turing test, AI, artificial intelligence, folk wisdom, intellectual humility What happens when we ask our own fantastic listeners — and AI — what it means to live wisely? In this episode, Igor and Charles hand the mic to members of the On Wisdom audience to hear their answers to the big questions usually reserved for scientists and philosophers. But there’s a twist: one set of responses was provided by AI. We invite you to vote on who gave the wisest answers — and to guess which one wasn’t human. Igor is surprised by just how insightful the answers from the regular folk (compared to experts) turn out to be, while Charles wonders if the wisest one may not be human at all? Can you pass the Wisdom Turing Test? Welcome to Episode 66.

Link to Listener Poll here

Links:

]]> What happens when we ask our own fantastic listeners — and AI — what it means to live wisely? In this episode, Igor and Charles hand the mic to members of the On Wisdom audience to hear their answers to the big questions usually reserved for scientists and philosophers. But there’s a twist: one set of responses was provided by AI. We invite you to vote on who gave the wisest answers — and to guess which one wasn’t human. Igor is surprised by just how insightful the answers from the regular folk (compared to experts) turn out to be, while Charles wonders if the wisest one may not be human at all? Can you pass the Wisdom Turing Test? Welcome to Episode 66.

Link to Listener Poll here

Links:

]]> 63: The AI Mirror: Why Machines Reflect Us More Than They Think (with Shannon Vallor) https://onwisdompodcast.fireside.fm/63 640978be-f5ac-46b0-aa66-28b102f0904d Sun, 23 Feb 2025 16:00:00 -0500 Charles Cassidy and Igor Grossmann 63 The AI Mirror: Why Machines Reflect Us More Than They Think (with Shannon Vallor) full Charles Cassidy and Igor Grossmann Can AI ever be truly wise, or are we just seeing reflections of ourselves? Philosopher Shannon Vallor joins Igor and Charles to explore how technology shapes human wisdom, why we’ve been thinking about AI all wrong, and what it really means to align machines with our values. Shannon unpacks the AI Mirror metaphor, suggesting that today’s AI isn’t a thinking mind but a reflection of human data, Igor considers whether technology could ever help us become wiser rather than just more efficient, and Charles wonders if philosophy can guide better decisions in a world increasingly shaped by algorithms. Welcome to Episode 63. 44:30 no Can AI ever be truly wise, or are we just seeing reflections of ourselves? Philosophy Professor Shannon Vallor joins Igor and Charles to explore how technology shapes human wisdom, why we’ve been thinking about AI all wrong, and what it really means to align machines with our values. Shannon unpacks the AI Mirror metaphor, suggesting that today’s AI isn’t a thinking mind but a reflection of human data, Igor considers whether technology could ever help us become wiser rather than just more efficient, and Charles wonders if philosophy can guide better decisions in a world increasingly shaped by algorithms. Welcome to Episode 63. Special Guest: Shannon Vallor. wisdom, psychology, philosophy, social science, happiness, well being, meaning, reasoning, emotions, purpose, artificial intelligence, AI, alignment, The AI Mirror, Shannon Vallor, Value Alignment, Virtue Embodiment, Moral Machines, Technomoral Virtues, Technomoral Wisdom Can AI ever be truly wise, or are we just seeing reflections of ourselves? Philosophy Professor Shannon Vallor joins Igor and Charles to explore how technology shapes human wisdom, why we’ve been thinking about AI all wrong, and what it really means to align machines with our values. Shannon unpacks the AI Mirror metaphor, suggesting that today’s AI isn’t a thinking mind but a reflection of human data, Igor considers whether technology could ever help us become wiser rather than just more efficient, and Charles wonders if philosophy can guide better decisions in a world increasingly shaped by algorithms. Welcome to Episode 63.

Special Guest: Shannon Vallor.

Links:

]]> Can AI ever be truly wise, or are we just seeing reflections of ourselves? Philosophy Professor Shannon Vallor joins Igor and Charles to explore how technology shapes human wisdom, why we’ve been thinking about AI all wrong, and what it really means to align machines with our values. Shannon unpacks the AI Mirror metaphor, suggesting that today’s AI isn’t a thinking mind but a reflection of human data, Igor considers whether technology could ever help us become wiser rather than just more efficient, and Charles wonders if philosophy can guide better decisions in a world increasingly shaped by algorithms. Welcome to Episode 63.

Special Guest: Shannon Vallor.

Links:

]]> 55: Wise of the Machines (with Sina Fazelpour) https://onwisdompodcast.fireside.fm/55 fdc73ee1-e7d8-47ad-9d27-9ff1aadc7f2e Sat, 05 Aug 2023 12:00:00 -0400 Charles Cassidy and Igor Grossmann 55 Wise of the Machines (with Sina Fazelpour) full Charles Cassidy and Igor Grossmann How can we make AI wiser? And could AI make us wiser in return? Sina Fazelpour joins Igor and Charles to discuss the problem of bias in algorithms, how we might make machine learning systems more diverse, and the thorny challenge of alignment. Igor considers whether interacting with AIs might help us achieve higher levels of understanding, Sina suggests that setting up AIs to promote certain values may be problematic in a pluralistic society, and Charles is intrigued to learn about the opportunities offered by teaming up with our machine friends. Welcome to Episode 55. 1:04:20 no How can we make AI wiser? And could AI make us wiser in return? Sina Fazelpour joins Igor and Charles to discuss the problem of bias in algorithms, how we might make machine learning systems more diverse, and the thorny challenge of alignment. Igor considers whether interacting with AIs might help us achieve higher levels of understanding, Sina suggests that setting up AIs to promote certain values may be problematic in a pluralistic society, and Charles is intrigued to learn about the opportunities offered by teaming up with our machine friends. Welcome to Episode 55. Special Guest: Sina Fazelpour. wisdom, psychology, philosophy, social science, happiness, well being, meaning, reasoning, emotions, purpose, Sina Fazelpour, Artificial Intelligence, AI, Machine Learning, Bias, Algorithms, Alignment, Diversity, Constitutional AI, AlphaGo, Lee Sedols, God’s touch, ChatGPT, LLM, large language model How can we make AI wiser? And could AI make us wiser in return? Sina Fazelpour joins Igor and Charles to discuss the problem of bias in algorithms, how we might make machine learning systems more diverse, and the thorny challenge of alignment. Igor considers whether interacting with AIs might help us achieve higher levels of understanding, Sina suggests that setting up AIs to promote certain values may be problematic in a pluralistic society, and Charles is intrigued to learn about the opportunities offered by teaming up with our machine friends. Welcome to Episode 55.

Special Guest: Sina Fazelpour.

Links:

]]> How can we make AI wiser? And could AI make us wiser in return? Sina Fazelpour joins Igor and Charles to discuss the problem of bias in algorithms, how we might make machine learning systems more diverse, and the thorny challenge of alignment. Igor considers whether interacting with AIs might help us achieve higher levels of understanding, Sina suggests that setting up AIs to promote certain values may be problematic in a pluralistic society, and Charles is intrigued to learn about the opportunities offered by teaming up with our machine friends. Welcome to Episode 55.

Special Guest: Sina Fazelpour.

Links:

]]> 47: Charting Pandemic Waters: A Common Wisdom Model for Uncertain Times (with Howard Nusbaum) - Rebroadcast https://onwisdompodcast.fireside.fm/47 c6066877-c59c-401d-9833-66b59aaa6102 Wed, 20 Jul 2022 17:00:00 -0400 Charles Cassidy and Igor Grossmann 47 Charting Pandemic Waters: A Common Wisdom Model for Uncertain Times (with Howard Nusbaum) - Rebroadcast full Charles Cassidy and Igor Grossmann (First Broadcast - 21st June 2020) What is the value of wisdom in the time of the global pandemic? Does the community of behavioural scientists studying wisdom agree on anything about the nature of wisdom? Can we say what we now know about wisdom and, conversely, what do we know we don’t yet know? Howard Nusbaum joins Igor and Charles to discuss the recently assembled Toronto Wisdom Task Force and the resulting Common Wisdom Model, meta-cognition, the thorny issue of moral-grounding, and sage advice regarding how to measure wisdom in the lab. Igor stresses the importance of building solid theoretical foundations for the field in the context of the pandemic, Howard reflects on the viability of evil wisdom, and Charles learns that we had better pay close attention today to the values we program into the decision-making robots of tomorrow. 1:02:02 no (First Broadcast - 21st June 2020) What is the value of wisdom in the time of the global pandemic? Does the community of behavioural scientists studying wisdom agree on anything about the nature of wisdom? Can we say what we now know about wisdom and, conversely, what do we know we don’t yet know? Howard Nusbaum joins Igor and Charles to discuss the recently assembled Toronto Wisdom Task Force and the resulting Common Wisdom Model, meta-cognition, the thorny issue of moral-grounding, and sage advice regarding how to measure wisdom in the lab. Igor stresses the importance of building solid theoretical foundations for the field in the context of the pandemic, Howard reflects on the viability of evil wisdom, and Charles learns that we had better pay close attention today to the values we program into the decision-making robots of tomorrow. Special Guest: Howard Nusbaum. adversity, alfred binet, artificial intelligence, balance of self- and other-oriented interests, candace vogler, centre for practical wisdom, common wisdom model, cortex-adaptability, dialectal thinking, emotions, epistemic humility, happiness, howard nusbaum, iq, jingle-jangle fallacy, keith stanovich, meaning, metacognition, moral-grounding, nancy snow, perspectival insight, perspectivism, philosophy, propositional logic, psychology, purpose, pursuit of truth, reasoning, shared humanity, social science, social-cognitive processing, toronto wisdom task force, university of chicago, valerie tiberius, value-action gap, values, well being, wisdom, wisdom measurement (First Broadcast - 21st June 2020)

What is the value of wisdom in the time of the global pandemic? Does the community of behavioural scientists studying wisdom agree on anything about the nature of wisdom? Can we say what we now know about wisdom and, conversely, what do we know we don’t yet know? Howard Nusbaum joins Igor and Charles to discuss the recently assembled Toronto Wisdom Task Force and the resulting Common Wisdom Model, meta-cognition, the thorny issue of moral-grounding, and sage advice regarding how to measure wisdom in the lab. Igor stresses the importance of building solid theoretical foundations for the field in the context of the pandemic, Howard reflects on the viability of evil wisdom, and Charles learns that we had better pay close attention today to the values we program into the decision-making robots of tomorrow.

Special Guest: Howard Nusbaum.

Links:

]]> (First Broadcast - 21st June 2020)

What is the value of wisdom in the time of the global pandemic? Does the community of behavioural scientists studying wisdom agree on anything about the nature of wisdom? Can we say what we now know about wisdom and, conversely, what do we know we don’t yet know? Howard Nusbaum joins Igor and Charles to discuss the recently assembled Toronto Wisdom Task Force and the resulting Common Wisdom Model, meta-cognition, the thorny issue of moral-grounding, and sage advice regarding how to measure wisdom in the lab. Igor stresses the importance of building solid theoretical foundations for the field in the context of the pandemic, Howard reflects on the viability of evil wisdom, and Charles learns that we had better pay close attention today to the values we program into the decision-making robots of tomorrow.

Special Guest: Howard Nusbaum.

Links:

]]> 29: Charting Pandemic Waters: A Common Wisdom Model for Uncertain Times (with Howard Nusbaum) https://onwisdompodcast.fireside.fm/29 d7ca46f8-22e1-417d-9ab2-8565fbd42c48 Sun, 21 Jun 2020 14:00:00 -0400 Charles Cassidy and Igor Grossmann 29 Charting Pandemic Waters: A Common Wisdom Model for Uncertain Times (with Howard Nusbaum) full Charles Cassidy and Igor Grossmann What is the value of wisdom in the time of the global pandemic? Does the community of behavioural scientists studying wisdom agree on anything about the nature of wisdom? Can we say what we now know about wisdom and, conversely, what do we know we don’t yet know? Howard Nusbaum joins Igor and Charles to discuss the recently assembled Toronto Wisdom Task Force and the resulting Common Wisdom Model, meta-cognition, the thorny issue of moral-grounding, and sage advice regarding how to measure wisdom in the lab. Igor stresses the importance of building solid theoretical foundations for the field in the context of the pandemic, Howard reflects on the viability of evil wisdom, and Charles learns that we had better pay close attention today to the values we program into the decision-making robots of tomorrow. Welcome to Episode 29. 1:08:00 no What is the value of wisdom in the time of the global pandemic? Does the community of behavioural scientists studying wisdom agree on anything about the nature of wisdom? Can we say what we now know about wisdom and, conversely, what do we know we don’t yet know? Howard Nusbaum joins Igor and Charles to discuss the recently assembled Toronto Wisdom Task Force and the resulting Common Wisdom Model, meta-cognition, the thorny issue of moral-grounding, and sage advice regarding how to measure wisdom in the lab. Igor stresses the importance of building solid theoretical foundations for the field in the context of the pandemic, Howard reflects on the viability of evil wisdom, and Charles learns that we had better pay close attention today to the values we program into the decision-making robots of tomorrow. Welcome to Episode 29. Special Guest: Howard Nusbaum. wisdom, psychology, philosophy, social science, happiness, well being, meaning, reasoning, emotions, purpose, howard nusbaum, centre for practical wisdom, university of chicago, common wisdom model, Toronto wisdom task force, moral-grounding, social-cognitive processing, balance of self- and other-oriented interests, pursuit of truth, shared humanity, metacognition, cortex-adaptability, perspectivism, dialectal thinking, epistemic humility, propositional logic, perspectival insight, IQ, Alfred Binet, wisdom measurement, jingle-jangle fallacy, adversity, artificial intelligence, keith stanovich, values, valerie tiberius, nancy snow, candace vogler, value-action gap What is the value of wisdom in the time of the global pandemic? Does the community of behavioural scientists studying wisdom agree on anything about the nature of wisdom? Can we say what we now know about wisdom and, conversely, what do we know we don’t yet know? Howard Nusbaum joins Igor and Charles to discuss the recently assembled Toronto Wisdom Task Force and the resulting Common Wisdom Model, meta-cognition, the thorny issue of moral-grounding, and sage advice regarding how to measure wisdom in the lab. Igor stresses the importance of building solid theoretical foundations for the field in the context of the pandemic, Howard reflects on the viability of evil wisdom, and Charles learns that we had better pay close attention today to the values we program into the decision-making robots of tomorrow. Welcome to Episode 29.

Special Guest: Howard Nusbaum.

Links:

]]> What is the value of wisdom in the time of the global pandemic? Does the community of behavioural scientists studying wisdom agree on anything about the nature of wisdom? Can we say what we now know about wisdom and, conversely, what do we know we don’t yet know? Howard Nusbaum joins Igor and Charles to discuss the recently assembled Toronto Wisdom Task Force and the resulting Common Wisdom Model, meta-cognition, the thorny issue of moral-grounding, and sage advice regarding how to measure wisdom in the lab. Igor stresses the importance of building solid theoretical foundations for the field in the context of the pandemic, Howard reflects on the viability of evil wisdom, and Charles learns that we had better pay close attention today to the values we program into the decision-making robots of tomorrow. Welcome to Episode 29.

Special Guest: Howard Nusbaum.

Links:

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