Overview

Providing a systematic, open, and informed look into the rapidly evolving universe of computational systems and machine learning, this book uses the study of philosophy to expand our understanding of AI. Presenting key features and highlighting essential lessons surrounding modern technology while prioritizing accessibility, philosophy professor Xu Yingjin puts forth the latest advancements in the field to inspire deeper learning. Sustaining the dynamism and impact of oral instruction through a lecture-based format, this book adopts a deeply engaging and conversational style to spark further discussion around the philosophical implications of AI. Xu structures his analysis in the ideas of renowned philosophers including Martin Heidegger, Edmund Husserl, Jerry Fodor, John Searle, Gertrude Elizabeth Margaret Anscombe, and Shūzō Kuki. Accessible to laypeople, students, and researchers, the lessons contained in this volume aspire to promote understanding and greater interest in all readers. Ultimately, Fifteen Lectures on Artificial Intelligence Philosophy offers a practical and ethical assessment of AI, while exploring the tensions between the experiences of humans and machines, and mapping a way forward.

Full Product Details

Author:   Xu Yingjin
Publisher:   University of Toronto Press
Imprint:   University of Toronto Press
Dimensions:   Width: 15.90cm , Height: 2.30cm , Length: 23.50cm
Weight:   0.580kg
ISBN:  

9781049801599

ISBN 10:   1049801598
Pages:   300
Publication Date:   28 April 2026
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available, will be POD  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon it's release. This is a print on demand item which is still yet to be released.

Table of Contents

Preface Part I: Critiques of Mainstream Artificial Intelligence Lecture One: Why Is Philosophy Necessary for Artificial Intelligence? Lecture Two: Artificial Intelligence Cannot Rely Too Much on Logic Lecture Three: Artificial Intelligence Cannot Rely Too Much on Deep Learning Lecture Four: Artificial General Intelligence: Still Far from Us Lecture Five: Philosophical Myths behind the Development of Artificial Intelligence in Soviet History Lecture Six: Philosophical Lessons behind the Failure of Japan’s Fifth-Generation Computer System Lecture Seven: Philosophical Myths behind the European Union’s Blue Brain Project Lecture Eight: From Big Dataism to Small Dataism Lecture Nine: Confucianism Actually Supports Small Dataism Part II: How to Achieve Artificial General Intelligence Lecture Ten: How to Endow Artificial General Intelligence with Intentionality Lecture Eleven: How to Endow Artificial General Intelligence with Intentions Lecture Twelve: How to Endow Artificial General Intelligence with Emotions Lecture Thirteen: How to Endow Artificial General Intelligence with Appropriate Ethical Norms Lecture Fourteen: How to Endow Artificial General Intelligence with Virtue Lecture Fifteen: Should We Really Need to Concern Ourselves with Autonomous Weapon Systems?

Reviews

Author Information

Xu Yingjin is professor of philosophy at Fudan University where he specializes in the philosophy of language and epistemology. Since 2006, he has been working on the philosophical issues related to AI and has published extensively on the topic. His book Mind, Language and Machines—a Dialogue between Wittgenstein and AI won the Simian Original Award in 2022.

Tab Content 6

Author Website:  

Countries Available

All regions