Table Of ContentAI FOR ARTS
AI FOR EVERYTHING
Artificial intelligence (AI) is all around us. From driverless cars to
game-winning computers to fraud protection, AI is already involved
in many aspects of life, and its impact will only continue to grow
in the future. Many of the world’s most valuable companies are
investing heavily in AI research and development, and not a day goes
by without news of cutting-edge breakthroughs in AI and robotics.
The AI for Everything series will explore the role of AI in
contemporary life, from cars and aircraft to medicine, education,
fashion, and beyond. Concise and accessible, each book is written
by an expert in the field and will bring the study and reality of AI
to a broad readership, including interested professionals, students,
researchers, and lay readers.
AI for Immunology AI for Death and Dying
Louis J. Catania Maggi Savin-Baden
AI for Cars AI for Radiology
Hanky Sjafrie & Josep Aulinas Oge Marques
AI for Games
AI for Digital Warfare
Ian Millington
Niklas Hageback & Daniel Hedblom
AI for School Teachers
AI for Creativity
Rose Luckin & Karine George
Niklas Hageback
AI for Learners
AI for Fashion
Carmel Kent, Benedict du Boulay & Rose
Anthony Brew, Ralf Herbrich,
Luckin
Christopher Gandrud,
Roland Vollgraf, Reza Shirvany & AI for Social Justice
Ana Peleteiro Ramallo Alan Dix and Clara Crivellaro
For more information about this series please visit:
https://www.routledge.com/AI-for-Everything/book-series/AIFE
A I F O R
A R T S
NIKLAS HAGEBACK
DANIEL HEDBLOM
First Edition published 2022
by CRC Press
6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742
and by CRC Press
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© 2022 Niklas Hageback, Daniel Hedblom
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Library of Congress Cataloging-in-Publication Data
Names: Hageback, Niklas, author. | Hedblom, Daniel, author.
Title: AI for arts / Niklas Hageback, Daniel Hedblom.
Other titles: Artificial intelligence for arts
Description: First edition. | Boca Raton : CRC Press, 2021. |
Series: AI for everything | Includes bibliographical references and index.
Identifiers: LCCN 2021012186 | ISBN 9781032048819 (hbk)|
ISBN 9781032048802 (pbk) | ISBN 9781032048802 (ebk)
Subjects: LCSH: Art and technology. | Art—Psychology. | Artificial intelligence.
Classification: LCC N72.T4 H34 2021 | DDC 701/.05—dc23
LC record available at https://lccn.loc.gov/2021012186
ISBN: 978-1-032-04881-9 (hbk)
ISBN: 978-1-032-04880-2 (pbk)
ISBN: 978-1-003-19500-9 (ebk)
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DEDICATION
To Aarik, Bernard & Cherry
CONTENTS
Authors ix
Introduction 1
1 What Is Art and Why Art Manifestos? 5
2 The Human Edge: Why Our Weakness Might Be
Our Strength in the Battle against Machines 29
3 How Artificial Intelligence Influences Art 47
4 The Artificial Intelligence Art Manifesto 73
References 83
Index 89
AUTHORS
Niklas Hageback has an extensive background in digital transformations
and risk management. He has held regional executive management and
project oversight roles at leading banks, including Credit Suisse, Deutsche
Bank, and Goldman Sachs, in both Asia and Europe, where he was in
charge of a number of complex regionwide digital transformation and
risk management initiatives. More recently, he has done extensive work in
Artificial Intelligence, notably machine learning, leading the d evelopment
of automated human reasoning and computational creativity a pplications.
He is a published author with bestsellers including The Mystery of Market
Movements: An Archetypal Approach to Investment Forecasting and Modelling (2014),
The Virtual Mind: Designing the Logic to Approximate Human Thinking (2017),
The Death Drive: Why Societies Self-Destruct (2020), and Leadership in the Digital
Age: Renaissance of the Renaissance Men (2020). He has also p ublished a
number of research papers in AI and finance.
Daniel Hedblom’s background includes working as a senior artificial intel-
ligence consultant developing data warehouses, data analytics, and visual-
ization tools. His focus has been on designing predictive analytic systems
and models for financial markets and replicating consumer p urchasing
patterns with a core competence in the understanding and execution of
the full project life cycle, and in particular database and data flow designs.
