Communicating with AI
Philosophical Perspectives
Oxford University Press
Will be published approx. on 29. September 2026
Book
Hardback
272 pages
978-0-19-889663-0 (ISBN)
Description
This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read at Oxford Academic and offered as a free PDF download from OUP and selected open access locations.
Every day, millions of people type questions into systems like ChatGPT, Claude, Gemini, or Deepseek and receive answers that appear strikingly human. These exchanges are rapidly becoming part of daily life--at work, in education, in healthcare, and in our social lives. But what, exactly, is happening when we "talk" with artificial intelligence? Do these systems understand us, or are we projecting understanding onto machines that in fact have none? Should we think of them as partners in communication, or as instruments that measure and model language?
Communicating with AI: Philosophical Perspectives brings together leading philosophers to investigate these questions. The essays explore the foundations of meaning, the possibility of alien forms of thought and language, and the social and ethical challenges that arise when machines speak. Contributors debate whether LLM outputs have literal meaning, whether AI systems can be said to have beliefs or intentions, and how responsibility and trust should be understood in a world where machines produce speech acts. The volume also looks ahead to future architectures of artificial minds and the unsettling ethical possibilities of superintelligent systems reasoning about morality in ways that may diverge from human values. A central theme is methodological: how to think clearly about minds and communication without relying too heavily on human models. By comparing AI to animals, aliens, and even deities, the essays push readers to rethink what it means to understand and to be understood.
Clear, rigorous, and deeply relevant, this volume offers an indispensable guide for anyone seeking to grasp the philosophical stakes of our emerging conversations with AI.
Every day, millions of people type questions into systems like ChatGPT, Claude, Gemini, or Deepseek and receive answers that appear strikingly human. These exchanges are rapidly becoming part of daily life--at work, in education, in healthcare, and in our social lives. But what, exactly, is happening when we "talk" with artificial intelligence? Do these systems understand us, or are we projecting understanding onto machines that in fact have none? Should we think of them as partners in communication, or as instruments that measure and model language?
Communicating with AI: Philosophical Perspectives brings together leading philosophers to investigate these questions. The essays explore the foundations of meaning, the possibility of alien forms of thought and language, and the social and ethical challenges that arise when machines speak. Contributors debate whether LLM outputs have literal meaning, whether AI systems can be said to have beliefs or intentions, and how responsibility and trust should be understood in a world where machines produce speech acts. The volume also looks ahead to future architectures of artificial minds and the unsettling ethical possibilities of superintelligent systems reasoning about morality in ways that may diverge from human values. A central theme is methodological: how to think clearly about minds and communication without relying too heavily on human models. By comparing AI to animals, aliens, and even deities, the essays push readers to rethink what it means to understand and to be understood.
Clear, rigorous, and deeply relevant, this volume offers an indispensable guide for anyone seeking to grasp the philosophical stakes of our emerging conversations with AI.
More details
Language
English
Place of publication
Oxford
United Kingdom
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-0-19-889663-0 (9780198896630)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
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.
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.
Volume editor
Chair Professor of Philosophy and Director of the AI & Humanity LabChair Professor of Philosophy and Director of the AI & Humanity Lab, University of Hong Kong
Associate Professor of PhilosophyAssociate Professor of Philosophy, University of Hong Kong
Content
- Introduction
- 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: Nat Hansen, Jumbly Grindrod and JD Porter: 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 Tim Sundell: Learning from Machines
- 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?
- III. Norms, Trust, and Social Responsibility in AI Communication
- 11: Mona Simion and Chris Willard-Kyle: Trusting AI: Explainability vs. Trustworthiness
- 12: Gabrielle Johnson and Gabe Dupré: 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
- IV. Cognitive Architectures and Ethical Futures
- 15: Cameron Buckner: The Talking of the Bot with Itself: Language Models for Inner Speech
- 16: David Plunkett and Tristram McPherson: Superintelligent AI and the Foundations of Ethics
- 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: Nat Hansen, Jumbly Grindrod and JD Porter: 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 Tim Sundell: Learning from Machines
- 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?
- III. Norms, Trust, and Social Responsibility in AI Communication
- 11: Mona Simion and Chris Willard-Kyle: Trusting AI: Explainability vs. Trustworthiness
- 12: Gabrielle Johnson and Gabe Dupré: 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
- IV. Cognitive Architectures and Ethical Futures
- 15: Cameron Buckner: The Talking of the Bot with Itself: Language Models for Inner Speech
- 16: David Plunkett and Tristram McPherson: Superintelligent AI and the Foundations of Ethics