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Computers do not make art, people do

Published: 20 April 2020 Publication History

Abstract

The continually evolving relationship between artistic technologies and artists.

References

[1]
Bailey, J. The tools of generative art, from Flash to neural networks. Art in America (Jan 8, 2020).
[2]
Brooks, R. The seven deadly sins of AI predictions. Technology Review (Oct. 6, 2017).
[3]
Cohen. H. The further exploits of AARON, painter. Stanford Humanities Review 4, 2 (1995).
[4]
Draves, S. The electric sheep screen-saver: A case study in aesthetic evolution. In Proceedings of EvoWorkshops. (2005).
[5]
Dutton, D. The Art Instinct: Beauty, Pleasure, and Human Evolution. Bloomsbury Press, 2009.
[6]
Hertzmann, A. Can computers create art? Arts 7, 2 (2018).
[7]
Nake, F. Computer art: A personal recollection. In Proceedings of C&C. ACM, New York, NY, USA, (2005), 54---62
[8]
Paik, K. To Infinity and Beyond! The Story of Pixar Animation Studios. Chronicle Books, 2007.
[9]
Scharf, A. Art and Photography. Penguin, 1968.
[10]
Sims, K. Artificial evolution for computer graphics. In Proceedings of SIGGRAPH. ACM, New York, NY, USA, (1991), 319---328.
[11]
Warburton, N. The Art Question. Routledge, 2002.

Cited By

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  • (2025)Emerging human-technology relationships in a co-design process with generative AIThinking Skills and Creativity10.1016/j.tsc.2024.10174256(101742)Online publication date: Jun-2025
  • (2024)Inteligencia artificial, vampirismo y la caja negra: aproximación especulativa en el marco del aprendizaje automático (AA)Arte, Individuo y Sociedad10.5209/aris.95515Avance en línea(1-14)Online publication date: 18-Jun-2024
  • (2024)Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality EvaluationACM Computing Surveys10.1145/369810557:3(1-37)Online publication date: 11-Nov-2024
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  1. Computers do not make art, people do

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    Published In

    cover image Communications of the ACM
    Communications of the ACM  Volume 63, Issue 5
    May 2020
    101 pages
    ISSN:0001-0782
    EISSN:1557-7317
    DOI:10.1145/3396208
    Issue’s Table of Contents
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 April 2020
    Published in CACM Volume 63, Issue 5

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    Cited By

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    • (2025)Emerging human-technology relationships in a co-design process with generative AIThinking Skills and Creativity10.1016/j.tsc.2024.10174256(101742)Online publication date: Jun-2025
    • (2024)Inteligencia artificial, vampirismo y la caja negra: aproximación especulativa en el marco del aprendizaje automático (AA)Arte, Individuo y Sociedad10.5209/aris.95515Avance en línea(1-14)Online publication date: 18-Jun-2024
    • (2024)Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality EvaluationACM Computing Surveys10.1145/369810557:3(1-37)Online publication date: 11-Nov-2024
    • (2024)Exploring Human Perception of AI-Generated Artworks2024 IEEE International Symposium on Technology and Society (ISTAS)10.1109/ISTAS61960.2024.10732054(1-6)Online publication date: 18-Sep-2024
    • (2024)“Journey of Finding the Best Query”: Understanding the User Experience of AI Image Generation SystemInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2307670(1-19)Online publication date: 2-Feb-2024
    • (2024)AI: artistic collaborator?AI & SOCIETY10.1007/s00146-024-02083-yOnline publication date: 30-Sep-2024
    • (2024)Drawing the full picture on diverging findings: adjusting the view on the perception of art created by artificial intelligenceAI & SOCIETY10.1007/s00146-024-02020-zOnline publication date: 16-Aug-2024
    • (2024)The Cultivated Practices of Text-to-Image GenerationHumane Autonomous Technology10.1007/978-3-031-66528-8_14(325-349)Online publication date: 22-Oct-2024
    • (2023)Creative Potential of Artificial Intelligence in the Context of the Idea of the New EnlightenmentKantian journal10.5922/0207-6918-2023-4-1342:4(240-251)Online publication date: 2023
    • (2023)El error como recurso visual y conceptual en la creación artística con inteligencias artificialesRevista Sonda: Investigación y Docencia en Artes y Letras10.4995/sonda.2022.1863411(27-42)Online publication date: 7-Feb-2023
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