Understanding the Artificial Intelligence Revolution: Between Catastrophe and Utopia
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This concise and sober book presents a brief history of AI, explaining in clear language the central engineering innovations that have produced the current revolution. It distinguishes between imagined dangers and the very real problems that AI is creating. Spread across seven short and accessible chapters, this book explains the developments behind deep learning and the applications of deep neural networks (DNNs). It addresses both the imagined and actual risks posed by the AI revolution, before outlining the elements of a rational public policy on AI, covering topics like tech monopolies, disinformation, bias, hate speech, intellectual property rights, and inequality.
Suitable for the general reader, Understanding the Artificial Intelligence Revolution: Between Catastrophe and Utopia is the ideal book for anyone seeking a clear and informed introduction to AI.
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Shalom Lappin is Professor of Natural Language Processing in the School of Electronic Engineering and Computer Science at Queen Mary, University of London, Emeritus Professor of Computational Linguistics in Informatics at King’s College London, and Scientific Researcher in CLASP at the University of Gothenburg. He is also a Fellow of the British Academy, and a Member of the Academia Europaea.
