09-23-2026, 03:11 PM
Philosophy of Artificial Intelligence: From Turing to Large Language Models by Donald Gillies and Marco Gillies presents a historical and philosophical examination of how artificial intelligence has developed from Alan Turing's ideas in the 1950s to contemporary large language models.
The book begins with Turing's imitation game and early attempts at AI, then follows the rise of expert systems, logic-based machine learning, induction, Bayesian methods, neural networks and deep learning. Rather than treating AI simply as a technological history, the authors connect these developments to fundamental philosophical questions about thinking, knowledge, reasoning and intelligence.
The later chapters focus on the philosophical implications of modern generative AI, including whether AI systems can genuinely understand language, whether machines can be creative, and the relationship between AI and literature and the visual arts. The authors also examine ethical and social questions—including AI's effects on politics and social media—along with the possibility of superintelligence and the future of employment. Overall, the book is structured as a bridge between philosophy and computer science, combining the historical evolution of AI with questions about what intelligence and knowledge actually mean.
BOOK
The book begins with Turing's imitation game and early attempts at AI, then follows the rise of expert systems, logic-based machine learning, induction, Bayesian methods, neural networks and deep learning. Rather than treating AI simply as a technological history, the authors connect these developments to fundamental philosophical questions about thinking, knowledge, reasoning and intelligence.
The later chapters focus on the philosophical implications of modern generative AI, including whether AI systems can genuinely understand language, whether machines can be creative, and the relationship between AI and literature and the visual arts. The authors also examine ethical and social questions—including AI's effects on politics and social media—along with the possibility of superintelligence and the future of employment. Overall, the book is structured as a bridge between philosophy and computer science, combining the historical evolution of AI with questions about what intelligence and knowledge actually mean.
BOOK
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