Philosophy of Artificial Intelligence: From Turing to Large Language Models
Autor Donald Gillies, Marco Gilliesen Limba Engleză Hardback – 30 sep 2026
In this much-needed book, Donald and Marco Gillies, a philosopher and computer scientist respectively, introduce and examine some of these key topics in the philosophy and science of AI, including:
- Alan Turing's imitation game and the beginnings of AI and expert systems.
- Induction and logic-based machine learning.
- Bayesianism and AI.
- The development of neural networks and deep learning.
- AI and moral issues, including social media and political radicalisation.
- Generative AI and the arts.
- Is an AI superintelligence possible?
- AI and the future of work.
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Specificații
ISBN-13: 9781041106227
ISBN-10: 104110622X
Pagini: 390
Ilustrații: 52
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
ISBN-10: 104110622X
Pagini: 390
Ilustrații: 52
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
Public țintă
Undergraduate AdvancedCuprins
Acknowledgements Preface Part 1: Turing and the Project for AI (1950s and 1960s) 1. Turing, Wittgenstein, and the Imitation Game 2. The First Attempts at AI Part 2: The First Successes of AI and the Development of the Logic-Based Approach (c. 1970 to c. 2010) 3. The Success of Expert Systems 4. Philosophical Views of Induction 5. Induction and Logic-based Machine Learning 6. Successes and Criticisms of the Logic-Based Approach 7. The Dominance of Probability and Statistics in AI from the late 1990s to the early 2010s Part 3: Neural Networks and Deep Learning 8. The Development of Neural Networks 9. Implications of Deep Learning for the Philosophy of Induction and Knowledge 10. Generative AI, Literature and the Visual Arts 11. Ethical Problems of Contemporary AI Part 4: The Future of AI and Current Challenges 12. Is an AI Superintelligence Possible? 13. The Real Danger from AI: Mass Unemployment. Index
Recenzii
'This is both a magnum opus reflecting deep scholarship, and also a jolly good read. Gillies and Gillies take us on a journey rooted in Alan Turing’s work, but reaching back to earlier philosophical insights and forward to the implications of current technology.' - Alan Dix, Cardiff Metropolitan University, and Swansea University, Wales, UK
'This book combines a rich account of the development of AI with a discussion of the main philosophical questions about AI. It sheds light on the close connections between AI and philosophy of science, and discusses topics such as creativity, explainability, the ethics of AI, existential threats and the threat of mass unemployment. This is essential reading for anyone wanting to understand the deeper implications of AI.' - Jon Williamson, University of Manchester, UK
'From its opening contention that Turing was a philosopher-mathematician like Descartes before him, to its discussions of the epistemology of machine learning, and the aesthetics and ethics of AI, this excellent book remains informative, thoughtful, and nuanced throughout. Gillies and Gillies clearly show how illuminating and productive the interaction between philosophy and artificial intelligence has been historically, and will continue to be.' - Professor Brian Ball, Computational Philosophy Lab, Northeastern University London
'This book combines a rich account of the development of AI with a discussion of the main philosophical questions about AI. It sheds light on the close connections between AI and philosophy of science, and discusses topics such as creativity, explainability, the ethics of AI, existential threats and the threat of mass unemployment. This is essential reading for anyone wanting to understand the deeper implications of AI.' - Jon Williamson, University of Manchester, UK
'From its opening contention that Turing was a philosopher-mathematician like Descartes before him, to its discussions of the epistemology of machine learning, and the aesthetics and ethics of AI, this excellent book remains informative, thoughtful, and nuanced throughout. Gillies and Gillies clearly show how illuminating and productive the interaction between philosophy and artificial intelligence has been historically, and will continue to be.' - Professor Brian Ball, Computational Philosophy Lab, Northeastern University London
Notă biografică
Donald Gillies studied mathematics and philosophy at Cambridge as an undergraduate. In 1966 he began graduate studies in Professor Sir Karl Popper's department at the London School of Economics, and he completed his PhD on the foundations of probability in 1970 with Professor Imre Lakatos as supervisor. From 1968 to 1971, he was a Fellow of King's College, Cambridge, and thereafter followed a career at London University until his retirement in 2009. He is currently Emeritus Professor of Philosophy of Science and Mathematics at University College London. Donald Gillies developed an interest in the philosophy of AI in the 1990s, participating in two AI projects, as well as organizing two further projects in the philosophy of AI.
Marco Gillies is a Professor of Computing at Goldsmiths, University of London, and an expert on AI virtual humans for virtual reality. After completing his PhD at the University of Cambridge, he did post-doctoral work, and, in 2005, he published one of the first papers to apply machine learning to virtual humans. At Goldsmiths, a creative university famous for the Young British Artists Movement, he has helped pioneer the application of AI to the arts, including founding the Creative Computing Degree in 2008. His work since then has focused on human-centred and interdisciplinary AI, including working with dancers, psychologists, game developers, clinicians, and education researchers. His current work focuses on augmenting large language models (LLMs) with body language for natural communication.
Marco Gillies is a Professor of Computing at Goldsmiths, University of London, and an expert on AI virtual humans for virtual reality. After completing his PhD at the University of Cambridge, he did post-doctoral work, and, in 2005, he published one of the first papers to apply machine learning to virtual humans. At Goldsmiths, a creative university famous for the Young British Artists Movement, he has helped pioneer the application of AI to the arts, including founding the Creative Computing Degree in 2008. His work since then has focused on human-centred and interdisciplinary AI, including working with dancers, psychologists, game developers, clinicians, and education researchers. His current work focuses on augmenting large language models (LLMs) with body language for natural communication.
Descriere
In this much-needed book a philosopher and computer scientist examine the key topics in philosophy and science of AI. Adopting a balanced historical and philosophical approach, it is ideal for those embarking on the study of this exciting topic and provides a clear and engaging introduction to AI.