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Art in the Machine: Value Misalignment and AI “Art”

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Cooperative Design, Visualization, and Engineering (CDVE 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14166))

Abstract

Why have online artist communities largely rejected AI image generators when they have embraced other technologies? We focus on cooperative design and community values to first frame these communities as digital counterculture akin to transformative fandom. Then, we use this framework to explore the online art community’s core principles in order to surface four key values (accessibility, distributed mentoring, gift economy, and authenticity), and illustrate their fundamental disconnect with the values espoused by advocates of current AI image generators. Finally, we conclude with suggestions for human and value-centered design of these technologies in collaborative creative visual communities to prevent similar unintended consequences.

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Authors and Affiliations

  1. University of Washington, Seattle, WA, 98195, USA

    Alyse Marie Allred & Cecilia Aragon

Authors
  1. Alyse Marie Allred
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  2. Cecilia Aragon
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Correspondence to Alyse Marie Allred .

Editor information

Editors and Affiliations

  1. University of Balearic Islands, Palma de Mallorca, Spain

    Yuhua Luo

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Allred, A.M., Aragon, C. (2023). Art in the Machine: Value Misalignment and AI “Art”. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2023. Lecture Notes in Computer Science, vol 14166. Springer, Cham. https://doi.org/10.1007/978-3-031-43815-8_4

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  • DOI: https://doi.org/10.1007/978-3-031-43815-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43814-1

  • Online ISBN: 978-3-031-43815-8

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