Understanding the Artificial Intelligence Revolution
eBook - ePub

Understanding the Artificial Intelligence Revolution

Between Catastrophe and Utopia

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Understanding the Artificial Intelligence Revolution

Between Catastrophe and Utopia

About this book

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.

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Yes, you can access Understanding the Artificial Intelligence Revolution by Shalom Lappin in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. Author Biography
  9. Chapter 1 â—¾ The Early Years
  10. Chapter 2 â—¾ The Deep Learning Revolution
  11. Chapter 3 â—¾ What Can Deep Neural Networks Do for Us?
  12. Chapter 4 â—¾ Risks Imagined
  13. Chapter 5 â—¾ Risks Actual
  14. Chapter 6 â—¾ Towards a Rational Public Policy on AI
  15. Chapter 7 â—¾ Conclusion
  16. References
  17. Index