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https://dx.doi.org/10.34632/js...
Article . 2024
License: CC BY
Data sources: Datacite
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Computational Creativity Without Computers

Authors: Roncoroni, Umberto; Bailón, Jaime E.;

Computational Creativity Without Computers

Abstract

Generative artificial intelligence algorithms and applications pose new challenges to the creativity of artists and educators. This study delves into the aesthetic and methodological contradictions of computational creativity, where issues arise from the clash between Romantic aesthetics and the lack of a proper connection between digital and traditional culture. We posit that achieving an inclusive, sustainable, and creative use of digital media requires the development of aesthetically updated proprietary technology rooted in the cultural identities of its origin. Our research is based on a literature review, software design, and artistic practice, and it highlights the importance of the humanities, ethno-computation, and analogical processes and materials. We argue that technology by itself is insufficient in developing the essential skills needed to value computational creativity in artistic production and education.

Journal of Science and Technology of the Arts, v. 16 n. 1 (2024): World Building Through Sonic and New Media Art Practices

Country
Peru
Related Organizations
Keywords

Creativity, Artificial intelligence, Cultural Identity, Fine Arts, Arts in general, Pendiente, N, NX1-820, Art, Education

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Published in a Diamond OA journal