The Ethics of AI w/ SVEN NYHOLM, Author & Lead Researcher, Munich Centre for Machine Learning

As we move towards 2026, we are in a massive “upgrade moment” that most of us can feel. New pressures, new identities, new expectations on our work, our relationships, and our inner lives. Throughout the year, I've been speaking with professional creatives, climate and tech experts, teachers, neuroscientists, psychologists, and futureists about how AI can be used intelligently and ethically as a partnership to ensure we do not raise a generation that relies on machines to think for them. It’s not that we are being replaced by machines. It’s that we’re being invited to become a new kind of human. Where AI isn’t the headline; human transformation is. And that includes the arts, culture, and the whole of society. Generative AI – the technologies that write our emails, draft our reports, and even create art – have become a fixture of daily life, and the philosophical and moral questions they raise are no longer abstract. They are immediate, personal, and potentially disruptive to the core of what we consider human work.

Our guest today, Sven Nyholm, is one of the leading voices helping us navigate this new reality. As the Principal Investigator of AI Ethics at the Munich Center for Machine Learning, and co-editor of the journal Science and Engineering Ethics. He has spent his career dissecting the intimate relationship between humanity and the machine. His body of work systematically breaks down concepts that worry us all: the responsibility gap in autonomous systems, the ethical dimensions of human-robot interaction, and the question of whether ceding intellectual tasks to a machine fundamentally atrophies our own skills. His previous books, like Humans and Robots: Ethics, Agency, and Anthropomorphism, have laid the foundational groundwork for understanding these strange new companions in our lives.

His forthcoming book is The Ethics of Artificial Intelligence: A Philosophical Introduction. The book is a rigorous exploration of everything from algorithmic bias and opacity to the long-term existential risks of powerful AI. We’ll talk about what it means when an algorithm can produce perfect language without genuine meaning, why we feel entitled to take credit for an AI’s creation, and what this technological leap might be costing us, personally, as thinking, moral beings.

Episode Website

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