REFLECTIONS ON THE USE OF ARTIFICIAL INTELLIGENCE IN WORKS OF ART

Authors

  • I Made Marthana Yusa Department of Visual Communication Design, Faculty of Business and Creative Design, Institut Bisnis dan Teknologi Indonesia (INSTIKI), Denpasar, Bali, 80225 Indonesia
  • Yu Yu Guangdong South China Institute of Industrial Design, Guangdong University of Technology, 523808, Dongguan, Guangdong, China
  • Tetiana Sovhyra Kyiv National University of Culture and Arts, 36, Ye. Konovaltsia St., Kyiv, 01133, Ukraine

DOI:

https://doi.org/10.58982/jadam.v2i2.334

Keywords:

Artificial Intelligence (AI), AI-generated art methodology, Next Rembrandt, Sunspring, Rafael Lozano-Hemmer, Refik Anadol

Abstract

Purpose: This paper aims to reflect on the use of Artificial Intelligence (AI) in works of art, examining its impact on the creative process, aesthetics, and audience reception, then provide a critical reflection on the use of AI in works of art, examining its potential benefits and drawbacks and exploring the ethical considerations involved. The paper examines the use of AI in works of art, with a focus on the methodologies and case studies that demonstrate the potential and challenges of this emerging field.

Research methods: The paper presents case studies of notable artworks that utilize AI, discusses the potential benefits and drawbacks of AI in art, and explores the ethical considerations involved. Through a review of the literature and analysis of six case studies, we explore the aesthetic, technical, and social dimensions of AI-generated art, as well as the ethical and critical debates surrounding its production and reception.

Findings: The paper concludes by emphasizing the importance of critical engagement and continued reflection on the use of AI in art. Our findings suggest that AI can offer new modes of creative expression and engagement, but also raise questions about the role of human agency and interpretation in the artistic process.

Implications: AI-generated art offers new opportunities and challenges for artists, scholars, and audiences, and that future research should focus on developing ethical guidelines, exploring collaborative practices, and examining the social and political implications of AI-based art. Case studies of AI-generated art can help us understand the potentials and limitations of this field by providing specific examples of how AI is being used to create art, and how artists and audiences are engaging with these works. These studies can provide insights into the creative processes, technical challenges, and social implications of AI-generated art.

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References

Y. Yu, “Research on digital art creation based on artificial intelligence,” Rev. Ibérica Sist. e Tecnol. Informação, no. 18B, p. 116, 2016.

I. M. M. Yusa and P. W. Aditama, “Expression of Spirituality Concept Through Augmented Reality Technique in Digital Painting Works Entitled Sarvaprani Hitankara,” in Proceedings of the 4th International Symposium of Arts, Crafts & Design in South East Asia (ARCADESA), 2020. doi: 10.2139/ssrn.3807700.

S. Mikalonyt?, Elz? and M. Kneer, “Can Artificial Intelligence Make Art?,” arXiv Prepr. arXiv2104.07598, 2021.

I. M. M. Yusa, P. S. U. Putra, and I. N. A. S. Putra, “Sinergy of art and animation technology in multimedia performance art creation entitled sad ripu,” in 2017 4th International Conference on New Media Studies (CONMEDIA), 2017, pp. 174–181. doi: 10.1109/CONMEDIA.2017.8266052.

I. M. M. Yusa, I. Pandawana, I. Putra, and T. Herawan, “Manik angkeran storytelling based on android mobile tap gameplay,” in Journal of Physics: Conference Series, 2021, vol. 1810, no. 1, p. 12034. doi: 10.1088/1742-6596/1810/1/012034.

B. Mondal, “Artificial intelligence: state of the art,” Recent Trends Adv. Artif. Intell. Internet Things, pp. 389–425, 2020.

I. M. M. Yusa and I. N. A. S. Putra, Literasi Visual Tokoh Hanoman Bali dengan Pendekatan Augmented Reality. An1mage, 2016.

W. Chen, M. Shidujaman, J. Jin, and S. U. Ahmed, “A methodological approach to create interactive art in artificial intelligence,” in HCI International 2020--Late Breaking Papers: Cognition, Learning and Games: 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19--24, 2020, Proceedings 22, 2020, pp. 13–31.

Y. Lyu, C.-L. Lin, P.-H. Lin, and R. Lin, “The cognition of audience to artistic style transfer,” Appl. Sci., vol. 11, no. 7, p. 3290, 2021.

D. Kadish, S. Risi, and A. S. Løvlie, “Improving object detection in art images using only style transfer,” in 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1–8.

C. S. Pitt, A. S. Bal, and K. Plangger, “New approaches to psychographic consumer segmentation: exploring fine art collectors using artificial intelligence, automated text analysis and correspondence analysis,” Eur. J. Mark., 2020.

L. Wang, W. Chen, W. Yang, F. Bi, and F. R. Yu, “A state-of-the-art review on image synthesis with generative adversarial networks,” IEEE Access, vol. 8, pp. 63514–63537, 2020.

Y. Kang, S. Gao, and R. E. Roth, “Transferring multiscale map styles using generative adversarial networks,” Int. J. Cartogr., vol. 5, no. 2–3, pp. 115–141, 2019.

J. J. Y. Chung, S. He, and E. Adar, “Artist support networks: Implications for future creativity support tools,” in Designing Interactive Systems Conference, 2022, pp. 232–246.

Microsoft, “The Next Rembrandt?: Blurring The Lines Between Art, Technology And Emotion,” Microsoft News, 2016. https://news.microsoft.com/europe/features/next-rembrandt/ (accessed Aug. 01, 2022).

P. Mezei, “From Leonardo to the Next Rembrandt--the need for AI-Pessimism in the age of algorithms,” 2020.

T. Sovhyra, “Artificial Intelligence and Issue of Authorship and Uniqueness for Works of Art (Technological Research of the Next Rembrandt),” Kult. i mystetstvo u suchasnomu sviti, no. 22, pp. 156–163, 2021, doi: 10.31866/2410-1915.22.2021.235903.

J. Cohn, “‘ The Scientist of the Holy Ghost’: Sunspring and Reading Nonsense,” JCMS J. Cine. Media Stud., vol. 60, no. 5, pp. 1–21, 2021.

Y. Yu, Z. Binghong, G. Fei, and T. Jiaxin, “Research on artificial intelligence in the field of art design under the background of convergence media,” in IOP Conference Series: Materials Science and Engineering, 2020, vol. 825, no. 1, p. 12027.

C. NAST, “Sunspring | A Sci-Fi Short Film Starring Thomas Middleditch,” Arstechnica, 2022. https://arstechnica.com/video/watch/sunspring-sci-fi-short-film (accessed Aug. 02, 2022).

R. Clayton, “Rafael Lozano-Hemmer’s interactive installations, using light and shadows, are designed to engage the public intimately,” Des. Week, United Kingdom, 2005.

G. Pritchett, “Pulse Topology: A Conversation with Artist Rafael Lozano-Hemmer,” MIKCexplore, 2021. https://mikcexplore.com/home/2021/11/8/pulse-topology-a-conversation-with-artist-rafael-lozano-hemmer (accessed Aug. 05, 2022).

R. Lozano-Hemmer, “Pulse Room,” Lozano-Hemmer, 2006. https://www.lozano-hemmer.com/pulse_room.php (accessed Aug. 15, 2022).

R. Lozano-Hemmer, “Atmospheric Memory.” Manchester International Festival, 2019.

R. Lozano-Hemmer, “Border Tuner / Sintonizador Fronterizo,” Lozano-Hemmer, 2019. https://www.lozano-hemmer.com/border_tuner__sintonizador_fronterizo.php (accessed Aug. 15, 2022).

H. G. Kaplan, “Border Tuner and Teeter-Totter Wall: Two works of participatory public pedagogy,” Vis. Inq. Learn. & Teach. Art, vol. 10, no. 1, pp. 31–48, 2021.

K. D. Mikhail Piotrovsky, Victoria Kondrashova, Dmitry Ozerkov, “ARTIFICIAL INTELLIGENCE AND INTERCULTURAL DIALOGUE: Playing With Shadow,” The Hermitage Museum XXI Century Foundation, St Petersburg, pp. 122–124, 2019.

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Published

2022-10-28

How to Cite

[1]
I. M. M. . Yusa, Y. . Yu, and T. . Sovhyra, “REFLECTIONS ON THE USE OF ARTIFICIAL INTELLIGENCE IN WORKS OF ART”, JADAM, vol. 2, no. 2, pp. 152-167, Oct. 2022.

Issue

Vol. 2 No. 2 (2022): Journal of Aesthetics, Design, and Art Management

Section

Articles

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