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.
- As, Imdat, and Prithwish Basu, eds. The Routledge companion to artificial intelligence in architecture. Routledge, 2021.Google ScholarCross Ref
- De Bono, Edward. "Lateral thinking." New York (1970): 70.Google Scholar
- De Bono, Edward. "Serious creativity." The Journal for Quality and Participation 18, no. 5 (1995): 12.Google Scholar
- 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 ScholarCross Ref
- Newton, David. "Generative deep learning in architectural design." Technology| Architecture+ Design 3, no. 2 (2019): 176-189. DOI: 10.1080/24751448.2019.1640536Google ScholarCross Ref
- 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 Scholar
- 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 Scholar
- 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 Scholar
- Vasari, Giorgio. “The lives of the most excellent painters, sculptors, and architects”. Modern Library, (2007).Google Scholar
Index Terms
- Maintaining agency in AI-generated works of art and design: Deliberate creative processes
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