AI and Art. Arguments for Practice

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Author (Corporation)
Publication date
12/2023
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04A - Book part
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Parent work
AI in Museums. Reflections, Perspectives and Applications
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Issue / Number
Pages / Duration
41-56
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Publisher / Publishing institution
transcript
Place of publication / Event location
Bielefeld
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Abstract
Recent advances in the computer generation of pictures using methods and programs from artificial intelligence research, or, more precisely, machine learning, have once again raised the question of whether computers can make art. Based on A. Michael Noll’s early experiments with computer art from the 1960s, I argue by contrast that even the latest tools cannot do without human work and can only be part of an artistic practice thanks to this work. Rather than asking whether machines can make art, we should therefore develop creative practices in which it is possible to leverage the potential of new techniques for design and art.
Keywords
Artificial Intelligence, Machine Learning, Art, Practice, Computer, A. Michael Noll
Subject (DDC)
700 - Künste und Unterhaltung
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ISBN
978-3-8394-6710-7
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
No peer review
Open access category
Gold
License
'https://creativecommons.org/licenses/by/4.0/'
Citation
SCHUBBACH, Arno, 2023. AI and Art. Arguments for Practice. In: Sonja THIEL und Johannes C. BERNHARDT (Hrsg.), AI in Museums. Reflections, Perspectives and Applications. Bielefeld: transcript. S. 41–56. ISBN 978-3-8394-6710-7. Verfügbar unter: https://doi.org/10.26041/fhnw-5890