Art by Computing Machinery: Is Machine Art Acceptable in the Artworld?
Abstract
When does a machine-created work becomes art? What is art? Can machine artworks fit in to the historical and present discourse? Do machine artworks demonstrate creativity, or are they a type of new media from which artists extend their creativity with? Will solely machine-created artworks be acceptable by our artworlds? This article probes these questions by first identifying the frameworks for defining and explaining art and evaluating its suitability for explaining machine artworks. It then explores how artworks have a necessary relationship with their human artists and the wider context of history, institutions, styles, and approaches and with audiences and artworlds. The article then questions whether machines have such a relational context and whether machines will ever live up to our standard of what constitutes an artwork as defined by us or whether machines are good only for assisting creativity. The question of intellectual property, rights, and ownership are also discussed for human--machine artworks and purely machine-produced works of art. The article critically assesses the viability of machines as artists as the central question in the historical discourse, extended through art and the artworld and evaluates machine-produced work from such a basis.
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UX designers are not trained to integrate ML as material into their design and the collaboration between designers and engineers is usually not design-driven, but rather technology-driven.
“They show that UX designers are not trained to integrate ML as material into their design and that the collaboration between designers and engineers is usually not designdriven, but rather technology-driven [14].”
Current AI has a low capability of creating new art styles: it either generates images of random art styles or imitates other popular art styles.
“However, current AI has a low capability of creating new art styles: it either generates images of random art styles or imitates other popular art styles [14].”
Cited by
Sorted by citations
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Cetinic, E., & She, J. (2022) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/3475799 · Cited by 579 · see citing works
The Role of AI Attribution Knowledge in the Evaluation of Artwork
Gangadharbatla, H. (2022) · Empirical Studies of the Arts · doi:10.1177/0276237421994697 · Cited by 132 · see citing works
Do You Mind? User Perceptions of Machine Consciousness
Scott, A. E., Neumann, D., Niess, J., & Woźniak, P. W. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581296 · Cited by 46 · see citing works
He, Q., Zheng, W., Bao, H., Chen, R., & Tong, X. (2023) · Proceedings of the Eleventh International Symposium of Chinese CHI · doi:10.1145/3629606.3629675 · Cited by 15 · see citing works
- Authors
- Ch’ng, E.
- Affiliations
- University of Nottingham Ningbo China (CN)
- Corresponding author
- Eugene Ch’ng
- ORCID
- Eugene Ch’ng
- Venue
- ACM Transactions on Multimedia Computing, Communications, and Applications
- Published
- 2019-04-30
- Volume
- 15
- Issue
- 2s
- Pages
- 1-17
- ISSN
- 1551-6857 (ISSN-L)
- 1551-6865
- OpenAlex
- W2969020539
- Cited by
- 23
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 6 · 2023: 6 · 2022: 2 · 2021: 2 · 2020: 1 · 2019: 1
- FWCI
- 29.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACM Transactions on Multimedia Computing Communications and Applications (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Social Sciences › Political Science and International Relations › Literary and Philosophical Studies
- Keywords
- computer art, artificial intelligence in art, definition of art, creativity, art world, new media art, human-machine collaboration, intellectual property, ownership of artworks, art institutions
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