The Analytic Monopoly on AI Philosophy

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The Analytic Monopoly on AI Philosophy<br>And Why It Isn't Enough

Michael Millerman<br>Apr 15, 2026

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The Philosophers Are Already Inside<br>There’s a widespread assumption that AI is built by engineers, governed by economists, and criticized by philosophers from the outside. The first two are partly true. The third is wrong.<br>Michael's Musings is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

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Philosophers are not only writing op-eds from the sidelines. They’re inside the labs. They lead alignment teams. They write the constitutions that govern how models behave. They hold senior research positions at Anthropic, Google DeepMind, OpenAI, and MIRI. And they are becoming more central, not less.<br>This matters more than almost anyone realizes. The problem at its center is under-discussed relative to what's at stake.

The Map<br>Amanda Askell — PhD in philosophy from NYU (thesis on infinite ethics), BPhil from Oxford — leads Anthropic’s Personality Alignment team. She is most responsible for how Claude engages with users on sensitive, ethically charged topics. She made TIME’s 100 AI list in 2024.<br>Joe Carlsmith — PhD in philosophy from Oxford — works on Claude’s constitution and character design. He has argued publicly that philosophical clarity, not raw technical capability, is the binding constraint on alignment research.<br>Ben Levinstein was a tenured associate professor of philosophy at the University of Illinois, specializing in epistemology and decision theory. In fall 2025 he moved to full-time work at Anthropic on questions such as whether large language models have internal representations that function like beliefs. A tenured philosopher walked away from the academy to help shape frontier AI from inside the lab.<br>Jackson Kernion — PhD in philosophy of mind from UC Berkeley — has been at Anthropic for roughly four years, contributing to model evaluation, training, and human feedback systems.<br>That’s four philosophers at one lab alone.<br>Google DeepMind has at least six. Iason Gabriel, trained in moral and political philosophy at Oxford and formerly a lecturer there, is a Senior Staff Research Scientist. Atoosa Kasirzadeh holds doctorates in philosophy of science and technology and in mathematics; she splits time between DeepMind and a joint appointment at Carnegie Mellon. Geoff Keeling published “We need a new ethics for a world of AI agents” in Nature and has a forthcoming book on AI welfare from Cambridge University Press.<br>And Henry Shevlin has just been hired by DeepMind in its first official “Philosopher” role (starting May 2026), focusing on machine consciousness, human-AI relationships, and AGI readiness.

At MIRI, Eliezer Yudkowsky — largely self-taught — effectively created the modern field of AI alignment. The conceptual vocabulary the entire safety community now uses (Friendly AI, instrumental convergence, Coherent Extrapolated Volition) is substantially his.<br>Chloé Bakalar served as Chief Ethicist of Responsible AI at Meta before moving to OpenAI in 2025 as AI Ethics Lead.<br>At Palantir — now a major AI platform company — CEO and co-founder Alex Karp holds a PhD in critical social theory from Goethe University Frankfurt in the Frankfurt School tradition, having initially engaged with Jürgen Habermas before completing the dissertation under Karola Brede.<br>Philosophy is not outside AI looking in. It is inside AI — shaping constitutions, alignment frameworks, evaluations, and strategy — and has been for years.

The Pattern<br>Now look at the pattern.<br>The philosophers inside AI are overwhelmingly trained in the Anglo-American analytic tradition. The dominant subfields are ethics, decision theory, philosophy of mind, and epistemology. The dominant training grounds are Oxford, NYU, UC Berkeley, and Cambridge.<br>This is not a criticism. Analytic philosophy is rigorous and exceptionally well-suited to the operational problems AI labs face: formalizing values, reasoning under uncertainty, and specifying preferences with logical discipline. The people listed above are, by all evidence, excellent at their jobs.<br>But notice what is not represented, even within the Western canon. The continental tradition (phenomenology, hermeneutics, existentialism, critical theory) and certain deeper strands of political philosophy have essentially no presence in leadership or research roles that directly shape model behavior. Heidegger is not in the room. Strauss is not in the room. Schmitt and Arendt are not in the room. Their distinctive questions — about technology as a totalizing way of revealing the world (Gestell), about the exoteric/esoteric tension in political life, about sovereignty and the exception, about the replacement of action by behavior — are simply not being asked by the people writing constitutions, designing alignment frameworks, or evaluating moral...