The creativity code Art and innovation in the age of AI

Marcus Du Sautoy

Book - 2019

Most books on AI focus on the future of work. But now that algorithms can learn and adapt, does the future of creativity also belong to well-programmed machines? To answer this question, Marcus du Sautoy takes us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines.--

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Subjects
Published
Cambridge, Massachusetts : The Belknap Press of Harvard University Press 2019.
Language
English
Main Author
Marcus Du Sautoy (author)
Edition
First US edition
Item Description
"First published in the United Kingdom in 2019 as The Creativity Code: How AI Is Learning to Write, Paint and Think by Fourth Estate, an imprint of HarperCollins Publishers, London. First U.S. edition published by Harvard University Press, 2019"--Title page verso.
Physical Description
312 pages : illustrations ; 25 cm
Bibliography
Includes bibliographical references and index.
ISBN
9780674988132
  • 1. The Lovelace Test
  • 2. Three Types of Creativity
  • 3. Ready Steady Go
  • 4. Algorithms, the Secret to Modern Life
  • 5. From Top-Down to Bottom-Up
  • 6. Algorithmic Evolution
  • 7. Painting by Numbers
  • 8. Learning from the Masters
  • 9. The Art of Mathematics
  • 10. The Mathematicians Telescope
  • 11. Music: The Process of Sounding Mathematics
  • 12. The Song-Writing Formula
  • 13. DeepMathematics
  • 14. Language Games
  • 15. Let AI Tell You a Story
  • 16. Why We Create: A Meeting of Minds
  • Selected Bibliography
  • Acknowledgments
  • Index
Review by Choice Review

This is an interesting, reader-friendly discussion of how well computers can be creative. Du Sautoy (Oxford) defines and discusses three types of creativity. Exploratory creativity, which may account for 97 percent of human creativity, extends the limits of what is possible within the existing rules. Combinational creativity finds ways to establish relations between remote-looking fields, while transformational creativity completely changes its field. The author shows examples in which computers, or algorithms, did or did not achieve results that would be called creative had they been obtained by humans. These examples come from a vast array of human endeavors, including music, painting, mathematics, language, business, and games like chess and Go. Du Sautoy also explains challenges arising from the fact that more and more decisions are being made by machines instead of humans. Though the author is a mathematician and several chapters have mathematics as their main topic, a rigorous understanding of mathematics is not a prerequisite for reading this book. Summing Up: Recommended. General readers. --Miklos Bona, University of Florida

Copyright American Library Association, used with permission.
Review by New York Times Review

Du Sautoy, a British mathematician, wants to answer the question: "Can computers be creative?" He parses the actions involved in creativity - exploring, combining and transforming - and reveals the history of A.I. through the turning points in which machine learning has progressed toward these milestones. A key moment is a human-versus-machine contest in Go, a Chinese game of strategy believed to be the oldest board game still being played, where the rules and size of the board allow for longer, more fluid play. When one of the best Go players in the world played a five-game tournament against the computer program AlphaGo, Du Sautoy watched with "a sense of existential anxiety." He had often compared Go to mathematics and felt that if the computer won, it would be encroaching on his own intellectual and creative home turf. AlphaGo had learned from centuries of human play and also had the benefit of having played millions of games against itself, refining its code to develop strategies for conventional moves as well as shockingly new ones. One referee said, of a particularly surprising gambit by the computer, "ft's not a human move." AlphaGo won the match three games to zero, but, over all, "The Creativity Code" argues reassuringly that true creativity belongs to humanity. Du Sautoy affirms this even in the area of mathematics: "How will an algorithm know what mathematics will cause that exciting rush of adrenaline that shakes you awake and spurs you on?" A computer may best any human at calculation, but it lacks that snippet of "human code" that lets us know when an idea is not just new but meaningful. RACHEL RIEDERER is the co-editor in chief of Guernica: A Magazine of Global Art + Politics.

Copyright (c) The New York Times Company [May 12, 2019]