Art Intelligence: How Generative AI Relates to Human Art-Making

Bibliographic Details
Title: Art Intelligence: How Generative AI Relates to Human Art-Making
Authors: Jan Svenungsson
Source: Digitale Gesellschaft ISBN: 9783837674729
Publisher Information: transcript Verlag, 2024.
Publication Year: 2024
Subject Terms: thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies, Media, Contemporary Art, Fine Arts, thema EDItEUR::A The Arts::AB The arts: general topics::ABA Theory of art, 9. Industry and infrastructure, 4. Education, Media Philosophy, Theory of Art, Visual Art, 7. Clean energy, 12. Responsible consumption, Generative AI, 11. Sustainability, Media Theory, Music, Art
Description: Artists always react to the times in which they live. They may celebrate them or criticize them, often trying to change them. But this is the first time in history that technology controlled by private companies is offering to replace the work of writers, musicians, illustrators and visual artists. What impact will generative AI have on how we create art and how we understand what art is for? How will it affect the role of the artist in the future and the conditions under which artists will work? Jan Svenungsson tackles these questions, investigating what AI might do for art, and what it might change, circling the core issue of what it is in human art-making that cannot be replaced.
Document Type: Book
File Description: image/jpeg; application/pdf
Language: English
DOI: 10.14361/9783839474723
DOI: 10.1515/9783839474723
DOI: 10.25969/mediarep/23030
Access URL: https://library.oapen.org/handle/20.500.12657/92293
https://directory.doabooks.org/handle/20.500.12854/142484
https://library.oapen.org/bitstream/20.500.12657/92293/1/9783839474723.pdf
https://library.oapen.org/handle/20.500.12657/92293
https://www.transcript-verlag.de/978-3-8376-7472-9/art-intelligence/?number=978-3-8394-7472-3&c=313000000
https://doi.org/10.14361/9783839474723
Rights: CC BY
Accession Number: edsair.doi.dedup.....3d1e1f557e4ccc69a4e2cd6bec9331d3
Database: OpenAIRE
Description
DOI:10.14361/9783839474723