Sofian Audry - Art in the Age of Machine Learning (Leonardo)
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Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.
Sofian Audry: author's other books
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Leonardo
Roger F. Malina, Executive Editor
Sean Cubitt, Editor-in-Chief
Synthetics: Aspects of Art & Technology in Australia, 1956-1975, Stephen Jones, 2011
Hybrid Cultures: Japanese Media Arts in Dialogue with the West, Yvonne Spielmann, 2012
Walking and Mapping: Artists as Cartographers, Karen ORourke, 2013
The Fourth Dimension and Non-Euclidean Geometry in Modern Art, revised edition, Linda Dalrymple Henderson, 2013
Illusions in Motion: Media Archaeology of the Moving Panorama and Related Spectacles, Erkki Huhtamo, 2013
Relive: Media Art Histories, edited by Sean Cubitt and Paul Thomas, 2013
Re-collection: Art, New Media, and Social Memory, Richard Rinehart and Jon Ippolito, 2014
Biopolitical Screens: Image, Power, and the Neoliberal Brain, Pasi Vliaho, 2014
The Practice of Light: A Genealogy of Visual Technologies from Prints to Pixels, Sean Cubitt, 2014
The Tone of Our Times: Sound, Sense, Economy, and Ecology, Frances Dyson, 2014
The Experience Machine: Stan VanDerBeeks Movie-Drome and Expanded Cinema, Gloria Sutton, 2014
Hanan al-Cinema: Affections for the Moving Image, Laura U. Marks, 2015
Writing and Unwriting (Media) Art History: Erkki Kurenniemi in 2048, edited by Joasia Krysa and Jussi Parikka, 2015
Control: Digitality as Cultural Logic, Seb Franklin, 2015
New Tendencies: Art at the Threshold of the Information Revolution (1961-1978), Armin Medosch, 2016
Screen Ecologies: Art, Media, and the Environment in the Asia-Pacific Region, Larissa Hjorth, Sarah Pink, Kristen Sharp, and Linda Williams, 2016
Pirate Philosophy: For a Digital Posthumanities, Gary Hall, 2016
Social Media Archeology and Poetics, edited by Judy Malloy, 2016
Practicable: From Participation to Interaction in Contemporary Art, edited by Samuel Bianchini and Erik Verhagen, 2016
Machine Art in the Twentieth Century, Andreas Broeckmann, 2016
Here/There: Telepresence, Touch, and Art at the Interface, Kris Paulsen, 2017
Voicetracks: Attuning to Voice in Media and the Arts, Norie Neumark, 2017
Ecstatic Worlds: Media, Utopias, Ecologies, Janine Marchessault, 2017
Interface as Utopia: The Media Art and Activism of Fred Forest, Michael F. Leruth, 2017
Making Sense: Art, Computing, Cognition, and Embodiment, Simon Penny, 2017
Weather as Medium: Towards a Meteorological Art, Janine Randerson, 2018
Laboratory Lifestyles: The Construction of Scientific Fictions, edited by Sandra Kaji-OGrady, Chris L. Smith, and Russell Hughes, 2018
Invisible Colors: The Arts of the Atomic Age, Gabrielle Decamous, 2018
Virtual Menageries: Animals as Mediators in Network Cultures, Jody Berland, 2019
From Fingers to Digits: An Artificial Aesthetic, Ernest Edmonds and Margaret A. Boden, 2019
MATERIAL WITNESS: Media, Forensics, Evidence, Susan Schuppli, 2020
Tactics of Interfacing: Encoding Affect in Art and Technology, Ksenia Fedorova, 2020
Giving Bodies Back to Data: Image-Makers, Bricolage, and Reinvention in Magnetic Resonance Technology, Silvia Casini, 2021
A Biography of the Pixel, Alvy Ray Smith, 2021
Living Books: Experiments in the Posthumanities, Janneke Adema, 2021
Art in the Age of Machine Learning, Sofian Audry, 2021
See http://mitpress.mit.edu for a complete list of titles in this series.
Art in the Age of Machine Learning
Sofian Audry
The MIT Press
Cambridge, Massachusetts
London, England
2021 Massachusetts Institute of Technology
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
The MIT Press would like to thank the anonymous peer reviewers who provided comments on drafts of this book. The generous work of academic experts is essential for establishing the authority and quality of our publications. We acknowledge with gratitude the contributions of these otherwise uncredited readers.
Library of Congress Cataloging-in-Publication Data
Names: Audry, Sofian, author.
Title: Art in the age of machine learning / Sofian Audry; foreword by Yoshua Bengio.
Description: Cambridge, Massachusetts: The MIT Press, 2021. | Includes bibliographical references and index.
Identifiers: LCCN 2021000765 | ISBN 9780262046183 (hardcover)
Subjects: LCSH: Computer art. | Art and computers. | Machine learning.
Classification: LCC N7433.8.A93 2021 | DDC 776dc23
LC record available at https://lccn.loc.gov/2021000765
d_r0
To Erin
Nicolas Baginsky, Aglaopheme, 1992
Components of a machine learning system
Images from Galpagos interactive exhibit, 1997
Komar and Melamid, Americas Most Wanted, 1994
Sample paintings generated by a Creative Adversarial Network (CAN)
Natalia Balska, B-612, 2014
Richard Dawkins, Biomorphs, 1986
William Latham, FormGrow/Mutator Generated Art, 1992/1993
Petra Gemeinboeck and Rob Saunders, Zwischenrume, 2010
Temporal evolution of first-order behaviors
Temporal evolution of an adaptive behavior
Justine Emard, Co(AI)xistence, 2017
Sofia Crespo, Self Acceptance, 2018
Comparison between traditional computer programming and machine learning
Diagram of a genetic algorithm
Stephen Kelly, Open Ended Ensembles (Competitive Coevolution), 2016
Jon McCormack, Eden, 2004
Ruairi Glynn, Performative Ecologies, 2008
Diagram of a multilayer perceptron
Ursula Damm, Memory of Space, 2002
George Legrady, Pockets Full of Memories, 2001
Self-organizing feature map trained on images of black-and-white shapes
Feature map generated by Ben Bogarts Memory Association Machine, 2008
Diagram of a deep neural network with many hidden layers
Example parametric space of simple geometric shapes
Latent space of handwritten digits
Mario Klingemann, Neural Glitch, 2018
Installation view of ReRites by David Jhave Johnston
Laetitia Sonami, Spring Spyre, 2014
Suzanne Kite, Listener, 2018
Sougwen Chung, Drawing Operations #4, 2018
Anna Ridler, Mosaic Virus, 2018
Anna Ridler, Myriad (Tulips), 2018
Stephanie Dinkins, Not the Only One, 2018
Libby Heaney, Euro(re)vision, 2019
Holly Herndon and Jlin, Godmother, 2018
Ben Bogart, Watching (2001: A Space Odyssey), 2018
So Kanno and Takahiro Yamaguchi, Asemic Languages, 2016
Driessens & Verstappen, Spotter #birds Amstelpark, 2018
Memo Akten, Learning to see: We are made of star dust #2, 2017
Leonardo/International Society for the Arts, Sciences, and Technology (ISAST)
Leonardo, the International Society for the Arts, Sciences, and Technology, and the affiliated French organization Association Leonardo, have some very simple goals:
1.To advocate, document, and make known the work of artists, researchers, and scholars developing the new ways in which the contemporary arts interact with science, technology, and society.
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