
Understanding the Artificial Intelligence Revolution
Between Catastrophe and Utopia
Shalom Lappin(Author)
CRC Press
1st Edition
Published on 15. June 2025
Book
Paperback/Softback
124 pages
978-1-041-03507-7 (ISBN)
Description
After many years during which it languished in relative obscurity, in remote classrooms of computer science departments and in small prototype projects for tech companies, artificial intelligence (AI) is now a searingly hot topic across the media. Yet much of the public discussion is so feverish that an understanding of the basic scientific and engineering elements of the field is easily lost, often resulting in exaggerated claims, as well as dangerously neglected threats.
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.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic, General, Postgraduate, and Undergraduate Advanced
Illustrations
19 s/w Abbildungen, 19 s/w Zeichnungen
19 Line drawings, black and white; 19 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 8 mm
Weight
225 gr
ISBN-13
978-1-041-03507-7 (9781041035077)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
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E-Book
06/2025
CRC Press
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Available for download

E-Book
06/2025
CRC Press
€32.99
Available for download

Book
06/2025
1st Edition
CRC Press
€166.20
Shipment within 15-20 days
Person
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.
Content
Chapter 1 ? The Early Years
Chapter 2 ? The Deep Learning Revolution
Chapter 3 ? What Can Deep Neural Networks Do for Us?
Chapter 4 ? Risks Imagined
Chapter 5 ? Risks Actual
Chapter 6 ? Towards a Rational Public Policy on AI
Chapter 7 ? Conclusion
Chapter 2 ? The Deep Learning Revolution
Chapter 3 ? What Can Deep Neural Networks Do for Us?
Chapter 4 ? Risks Imagined
Chapter 5 ? Risks Actual
Chapter 6 ? Towards a Rational Public Policy on AI
Chapter 7 ? Conclusion