Herman Cappelen is Chair Professor of Philosophy at the University of Hong Kong (HKU) and Director of the AI & Humanity Lab at HKU. He has made influential contributions to philosophy of language, epistemology, and metaphilosophy. Cappelen's work addresses topics such as relativism, assertion, conceptual engineering, and the methodology of philosophy, with several widely cited books shaping contemporary debates. He has held professorships in Norway, Scotland, and the US, and is a fellow of the Norwegian Academy of Science and Letters. His current research includes foundational issues in communication with artificial intelligence.Rachel Sterken is Associate Professor of Philosophy at the University of Hong Kong (HKU). She works primarily in philosophy of language, with research spanning semantics, pragmatics, and the philosophy of mind. Her work focuses on generics, context sensitivity, and conceptual engineering. Sterken has published widely in leading journals and edited volumes, and she is increasingly engaged with questions at the intersection of philosophy of language and artificial intelligence. She previously held academic positions in Europe before joining HKU.

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• Part I. Foundations of Meaning and AI Communication 1: Jacob Browning: Intentionality All-Stars Redux: Do Language Models Know What They Are Talking About? 2: Fintan Mallory: Large Language Models Are Stochastic Measuring Devices 3: Jumbly Grindrod, J. D. Porter, and Nat Hansen: Distributional Semantics, Holism, and the Instability of Meaning 4: Anandi Hattiangadi and Anders J. Schoubye: The Outputs of Large Language Models Are Meaningless 5: Andy Egan and Timothy Sundell: Learning from Machines Part II. Alien Semantics, Externalism, and the Metaphysics of AI Meaning 6: Matti Eklund: AI and Alien Languages 7: Gurpreet Rattan: Egocentric Content and the Possibility of Alien Artificial Intelligence 8: Herman Cappelen and Josh Dever: A Hyper-Externalist Manifesto for LLMs 9: Diane Proudfoot: Communicating with AI? Wittgenstein's Lion and the Problem of Cross-Species Communication 10: Luke Roelofs: Porous Minds: When Does Communication Become Introspection? Part III. Norms, Trust, and Social Responsibility in AI Communication 11: Mona Simion and Christopher Willard-Kyle: Trusting AI: Explainability versus Trustworthiness 12: Gabbrielle M. Johnson and Gabe Dupre: Uncanny Performance, Divergent Competence 13: Guido Löhr: Chatbots and Speech Act Responsibility Gaps 14: Regina Rini: A Talking Cure for Autonomy Traps: How to Share Our World with Chatbots Part IV. Cognitive Architectures and Ethical Futures 15: Cameron Buckner: The Talking of the Bot with Itself: Language Models for Inner Speech 16: Tristram McPherson and David Plunkett: Superintelligent AI and the Foundations of Ethics

Herman Cappelen is Chair Professor of Philosophy at the University of Hong Kong (HKU) and Director of the AI & Humanity Lab at HKU. He has made influential contributions to philosophy of language, epistemology, and metaphilosophy. Cappelen's work addresses topics such as relativism, assertion, conceptual engineering, and the methodology of philosophy, with several widely cited books shaping contemporary debates. He has held professorships in Norway, Scotland, and the US, and is a fellow of the Norwegian Academy of Science and Letters. His current research includes foundational issues in communication with artificial intelligence.Rachel Sterken is Associate Professor of Philosophy at the University of Hong Kong (HKU). She works primarily in philosophy of language, with research spanning semantics, pragmatics, and the philosophy of mind. Her work focuses on generics, context sensitivity, and conceptual engineering. Sterken has published widely in leading journals and edited volumes, and she is increasingly engaged with questions at the intersection of philosophy of language and artificial intelligence. She previously held academic positions in Europe before joining HKU.

Select Guide Rating

• Part I. Foundations of Meaning and AI Communication 1: Jacob Browning: Intentionality All-Stars Redux: Do Language Models Know What They Are Talking About? 2: Fintan Mallory: Large Language Models Are Stochastic Measuring Devices 3: Jumbly Grindrod, J. D. Porter, and Nat Hansen: Distributional Semantics, Holism, and the Instability of Meaning 4: Anandi Hattiangadi and Anders J. Schoubye: The Outputs of Large Language Models Are Meaningless 5: Andy Egan and Timothy Sundell: Learning from Machines Part II. Alien Semantics, Externalism, and the Metaphysics of AI Meaning 6: Matti Eklund: AI and Alien Languages 7: Gurpreet Rattan: Egocentric Content and the Possibility of Alien Artificial Intelligence 8: Herman Cappelen and Josh Dever: A Hyper-Externalist Manifesto for LLMs 9: Diane Proudfoot: Communicating with AI? Wittgenstein's Lion and the Problem of Cross-Species Communication 10: Luke Roelofs: Porous Minds: When Does Communication Become Introspection? Part III. Norms, Trust, and Social Responsibility in AI Communication 11: Mona Simion and Christopher Willard-Kyle: Trusting AI: Explainability versus Trustworthiness 12: Gabbrielle M. Johnson and Gabe Dupre: Uncanny Performance, Divergent Competence 13: Guido Löhr: Chatbots and Speech Act Responsibility Gaps 14: Regina Rini: A Talking Cure for Autonomy Traps: How to Share Our World with Chatbots Part IV. Cognitive Architectures and Ethical Futures 15: Cameron Buckner: The Talking of the Bot with Itself: Language Models for Inner Speech 16: Tristram McPherson and David Plunkett: Superintelligent AI and the Foundations of Ethics