skip to main content
10.1145/3610540.3627011acmconferencesArticle/Chapter ViewAbstractPublication Pagessiggraph-asiaConference Proceedingsconference-collections
abstract

Maintaining agency in AI-generated works of art and design: Deliberate creative processes

Published:06 December 2023Publication History

ABSTRACT

This paper responds to the unfolding debate on the use of generative AI tools in art and design. As the conversations and technological frameworks remain in their early stages the paper focuses on emerging possibilities and methodologies rather than on broader claims or conclusions. The discussed methods can serve as an effective entry point for education and curricula developments with practical advice and conceptual framing to contextualize emerging AI tools in a broader artistic culture and legacy. While the discussion on autonomous creativity is a significant part of the future of AI system developments and their relationship with humanity, this paper specifically limits its contribution to human-to-AI interactions as an important step in understanding intentionality, agency, and identity in that newly formed landscape.

References

  1. As, Imdat, and Prithwish Basu, eds. The Routledge companion to artificial intelligence in architecture. Routledge, 2021.Google ScholarGoogle ScholarCross RefCross Ref
  2. De Bono, Edward. "Lateral thinking." New York (1970): 70.Google ScholarGoogle Scholar
  3. De Bono, Edward. "Serious creativity." The Journal for Quality and Participation 18, no. 5 (1995): 12.Google ScholarGoogle Scholar
  4. Huang, Jeffrey, Mikhael Johanes, Frederick Chando Kim, Christina Doumpioti, and Georg-Christoph Holz. "On GANs, NLP and architecture: combining human and machine intelligences for the generation and evaluation of meaningful designs." Technology| Architecture+ Design 5, no. 2 (2021): 207-224. https://doi.org/10.1080/24751448.2021.1967060Google ScholarGoogle ScholarCross RefCross Ref
  5. Newton, David. "Generative deep learning in architectural design." Technology| Architecture+ Design 3, no. 2 (2019): 176-189. DOI: 10.1080/24751448.2019.1640536Google ScholarGoogle ScholarCross RefCross Ref
  6. Newton, David. "Toward dynamic and explorative optimization for architectural design." In The Routledge Companion to Artificial Intelligence in Architecture, pp. 280-300. Routledge, 2021.Google ScholarGoogle Scholar
  7. Parasuraman, Raja, and Dietrich Manzey. "Complacency and bias in human use of automation: An attentional integration." Human factors 52, no. 3 (2010): 381-410.Google ScholarGoogle Scholar
  8. Terzidis, Kostas, Filippo Fabrocini, and Hyejin Lee. "Unintentional intentionality: art and design in the age of artificial intelligence." AI & SOCIETY 38, no. 4 (2023): 1715-1724.Google ScholarGoogle Scholar
  9. Vasari, Giorgio. “The lives of the most excellent painters, sculptors, and architects”. Modern Library, (2007).Google ScholarGoogle Scholar

Index Terms

  1. Maintaining agency in AI-generated works of art and design: Deliberate creative processes

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SA '23: SIGGRAPH Asia 2023 Educator's Forum
        December 2023
        76 pages
        ISBN:9798400703119
        DOI:10.1145/3610540

        Copyright © 2023 Owner/Author

        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.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 December 2023

        Check for updates

        Qualifiers

        • abstract
        • Research
        • Refereed limited

        Acceptance Rates

        Overall Acceptance Rate178of869submissions,20%
      • Article Metrics

        • Downloads (Last 12 months)140
        • Downloads (Last 6 weeks)15

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format