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Philosophy of Artificial Intelligence: From Turing to Large Language Models

2026-09-30 · Research Online (Goldsmiths University of London)

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An AI research paper on Philosophy of Artificial Intelligence: From Turing to Large Language Models.

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Original abstract

Artificial intelligence presents deep and important philosophical questions, ranging from whether computers can think, whether large language models truly understand language and whether AI can be creative, to moral and political issues, criminal justice, health, and the future of work. In this much-needed book, Donald and Marco Gillies, a philosopher and computer scientist respectively, introduce and examine some of these key topics in 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. Adopting a balanced historical and philosophical approach, Philosophy of Artificial Intelligence: From Turing to Large Language Models is ideal for those embarking on the study of this exciting topic, whether coming from philosophy or computer science. It provides a clear and engaging introduction to Artificial Intelligence.

5.0Engineering value
7.0Research novelty
4.0Business relevance

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