Have you ever felt like ChatGPT genuinely understands you? What if the reality is that it doesn't even have the foundational capacity to "speak" to you at all?

On this episode of The AITEC Podcast, Roberto Carlos García and Sam Bennett sit down with philosopher Justin Tiehen (University of Puget Sound) to unpack his fascinating new paper, LLM's Lack a Theory of Mind and So Can't Perform Speech Acts--A Causal Argument.

Justin takes us on a deep dive into the philosophy of mind to explain why current Large Language Models, despite their impressive output, are essentially just faking it. We explore why next-token predictors are completely missing the causal architecture required to have a "Theory of Mind," and why, without that, they are fundamentally incapable of making assertions, giving orders, or performing true speech acts.

Key Takeaways from this Episode:

 * The Ladder of Causation: Why AI is stuck observing statistical correlations and cannot grasp true causal interventions or counterfactuals (drawing on Judea Pearl’s work).
 * The Speech Act Problem: Why performing a true "speech act" requires the deliberate intention to influence another person's mind.
 * Cheating the Benchmarks: How LLMs "cheat" on psychological exams like the Sally-Anne false-belief test simply by memorizing statistical patterns in text.
 * The Threat of AI Blackmail: What it would actually look like if an AI possessed a Theory of Mind and strategically tried to manipulate human behavior to achieve its goals.

Whether you are deeply invested in the philosophy of language or just trying to figure out how much you should trust your favorite AI assistant, this conversation will completely reframe how you view generative AI.

Learn more about our work and join the conversation at ethicscircle.org [https://www.google.com/search?q=http://ethicscircle.org].

#29 Justin Tiehen: Why AI Can't Make a Promise—The Hidden Limits of Large Language Models

In this episode of the AITEC Podcast, we’re joined by philosopher Mathilda Marie Mulert, a doctoral researcher at the Oxford Internet Institute, to explore one of the most difficult questions in contemporary tech ethics: when, if ever, is it morally permissible to simulate sexual violence? 

Drawing on her recent work on simulation ethics, Mulert examines video games, virtual environments, sex robots, and consensual role-play to challenge the assumption that “it’s just pretend.” We discuss the Gamers’ Dilemma, the limits of consent, and why moral context—not just content—matters when evaluating simulated wrongdoing.

This conversation is philosophical, careful, and candid. Listener discretion is advised.

Links:

 * Mathilda’s Oxford Internet Institute Webpage [https://www.oii.ox.ac.uk/people/profiles/mathilda-mulert/]
 * Mathilda’s recent article [https://link.springer.com/article/10.1007/s10676-025-09878-7]

For more, visit ethicscircle.org [https://www.ethicscircle.org/]. 

#28 Mathilda Marie Mulert: Sex Robots, Simulation, and the Question of Moral Harm

In this episode of the AITEC podcast, Sam Bennett and Roberto Carlos speak with Matheus Ferreira de Barros, a philosopher of technology at PUC-Rio and the Federal University of Rio de Janeiro, about the work of Peter Sloterdijk. Ferreira de Barros introduces Sloterdijk’s philosophy of technology, focusing on the idea that human beings and technology co-evolve and that technology plays a constitutive role in human life rather than merely serving as an external tool.The conversation explores Sloterdijk’s Spheres project, including his account of insulation, distance from nature, and the creation of protective interiors that stabilize human existence at biological, psychological, and symbolic levels. The discussion also examines the loss of large-scale meaning structures in modernity, the role of religion and culture as technologies of existential security, and how contemporary technologies, including AI, may both disrupt and reshape the spheres through which human life becomes livable.

#27 Matheus Ferreira de Barros: Technology, Spheres, and the Human Being

In this episode of the AITEC podcast, Sam Bennett speaks with philosopher of mind and AI researcher Iwan Williams about his paper “Intention-like representations in language models?” Williams is a postdoctoral researcher at the University of Copenhagen and received his PhD from Monash University.

The conversation explores whether large language models exhibit internal representations that resemble intentions, as distinct from beliefs or credences. Focusing on features such as directive function, planning, and commitment, Williams evaluates several empirical case studies and explains why current models may appear intention-like in some respects while falling short in others. The discussion also considers why intentions matter for communication, safety, and our broader understanding of artificial intelligence.

For more, visit ethicscircle.org. 

#26 Iwan Williams: Do Language Models Have Intentions?

What if your ex never really left—because you trained a chatbot to be them? In this episode of the AITEC Podcast, we’re joined by philosopher Pilar López-Cantero to explore her provocative article, The Ethics of Breakup Chatbots. From the haunting potential of AI relationships to the dangers of narrative stagnation, we dive into what it means to love, let go, and maybe linger too long—with a machine. Are these bots helping us heal, or are they shaping a lonelier, more controllable kind of intimacy?

For more info, visit ethicscircle.org [https://www.ethicscircle.org/]. 

#25 Pilar López-Cantero: The Ethics of Breakup Chatbots

In this episode of the AITEC Podcast, we sit down with Kevin Crowston and Francesco Bolici—two leading scholars of information science and organizational behavior—to explore the hidden risks of generative AI in the workplace and the classroom.

Their recent paper on deskilling and upskilling with AI serves as the foundation for a conversation that ranges from ChatGPT in programming to the future of education. The key concern? AI systems may offer short-term productivity boosts—but they quietly erode the very skills people need to think, solve problems, and make decisions when things go wrong.

We unpack:

 * The tension between efficiency and learning: how AI tools give us answers but rob us of “learning by doing”
 * Why novice users might look as good as experts—but only because AI is flattening the skill curve
 * The “leveling effect” vs. the “multiplier effect”: when AI empowers novices vs. when it amplifies expert performance
 * What happens to organizations—and societies—when no one remembers how to do things manually
 * How educators can respond: should we stop students from using AI? Or teach them how to use it without becoming dependent?

From sales to software engineering, and from university classrooms to global labor markets, this episode explores how generative AI reshapes human learning, power, and value—and what we must do now to avoid a future of mass deskilling.

#24 Kevin Crowston and Francesco Bolici: The Death of Expertise?

In this episode, we speak with philosopher Sebastian Purcell about his new book The Outward Path: Lessons on Living from the Aztecs. Purcell shows that Aztec philosophy offers a strikingly different vision of the good life — one that rejects the modern obsession with happiness and invulnerability in favor of something deeper: rootedness.

We discuss what it means to live a rooted life in a world that feels increasingly unstable — from collective agency and humility to willpower, ritual, and the art of balance. Along the way, Purcell explains how Aztec ethics can help us rethink everything from self-discipline and courage to how we live with technology, social media, and each other.

Links:
Sebastian’s website [https://sebastianpurcell.com/]
Sebastian’s articles on Medium [https://medium.com/@sebastian.purcell]
Sebastian’s book [https://wwnorton.com/books/the-outward-path/overview]

For more info, visit ethicscircle.org [https://www.ethicscircle.org/].

#23 Sebastian Purcell: Rootedness, Not Happiness — Aztec Wisdom for a Slippery World

What if our deepest fears about AI aren't really about the machines at all—but about something we've forgotten about ourselves? In this episode, we speak with philosopher Iain D. Thomson (University of New Mexico), a leading scholar of Martin Heidegger, about his new book Heidegger on Technology’s Danger and Promise in the Age of AI.Together we explore Heidegger’s famous claim that “the essence of technology is nothing technological,” and why today’s crises—from environmental collapse to algorithmic control—are really symptoms of a deeper existential and ontological predicament.Also discussed:
– Why AI may not be dangerous because it’s too smart, but because we stop thinking
– Heidegger’s concept of “world-disclosive beings” and why ChatGPT doesn’t qualify
– How the technological mindset reshapes not just our tools but our selves
– What a “free relation” to technology might look like
– The creeping danger of lowering our standards and mistaking supplements for the real thing

For more info, visit ethicscircle.org [https://www.ethicscircle.org/].

#22 Iain Thomson: Why Heidegger Thought Technology Was More Dangerous Than We Realize

In this episode, we sit down with Jayashri A. Bangali, a researcher and educator whose work explores the evolving role of artificial intelligence in education—both in India and around the world. We discuss how AI is transforming learning through personalization, interactivity, and accessibility—but also raise hard questions about bias, surveillance, dependence, and deskilling.

We dig into Jayashri’s recent research on AI integration in Indian schools and universities, including key findings from surveys of students and teachers across academic levels. We also explore global trends in AI adoption, potential regulatory safeguards, and how policymakers can ensure that AI enhances—not erodes—critical thinking and creativity.

This is a wide-ranging conversation on the future of learning, the risks of offloading too much to machines, and the kind of education worth fighting for in an AI-driven world.

For more info, visit ethicscircle.org [https://www.ethicscircle.org/].

#21 Jayashri Bangali: AI in Education

In this episode, we speak with Bernardo Bolaños and Jorge Luis Morton, authors of On Singularity and the Stoics [https://link.springer.com/article/10.1007/s43681-024-00548-w], about the rise of generative AI, the looming prospect of superintelligence, and how Stoic philosophy offers a framework for navigating it all. We explore Stoic principles like the dichotomy of control, cosmopolitanism, and living with wisdom as we face of deepfakes, algorithmic manipulation, and the risk of superintelligent AI.

For more info, visit ethicscircle.org [https://www.ethicscircle.org/].

#20 Bernardo Bolaños and Jorge Luis Morton: On Stoicism and Technology

Welcome to AITEC Podcast, where we explore the ethical side of AI and emerging tech.

We call our little group the AI and Technology Ethics Circle (AITEC). Visit ethicscircle.org [https://www.ethicscircle.org/] for more info. 

AITEC Philosophy Podcast