Please use this identifier to cite or link to this item: http://dx.doi.org/10.18688/aa2313-7-55
Title Examining the Capabilities and Challenges of AARON (Painter Software)
Author email moghanipour@shirazu.ac.ir
About author Najmedin, Foad — Ph. D., assistant professor. University of Science and Culture, Bahar st, Shahid Qamushi st, Ashrafi Esfahani Bulvar, Tehran, Iran; f.najmedin@gmail.com; ORCID: 0009-0000-4413-5933 Moghanipour, Majid Reza — Ph. D., associate professor. Shiraz University, Goldasht 3 St., Moaliabad Av., Shiraz, Iran; moghanipour@shirazu.ac.ir; ORCID: 0000-0001-9806-6953 (responsible author)
In the section International Art in the 20th and 21st Centuries DOI10.18688/aa2313-7-55
Year 2023 Volume 13 Pages 687700
Type of article RAR Index UDK 7, 004.855.6 Index BBK 85.72
Abstract

The present article probes Harold Cohen’s AARON software and its unique features which brings it closer to the definition of “human creativity:, making it distinct from other computer software or basic computer artworks. AARON’s (metaphorically) works are massive images (usually 2.3 meters or even larger murals) in a style and context close to the expressionist literature of the early 20th century. Although features such as linear value and especially coloring were gradually embedded in different versions of AARON, we are mostly faced with linear images (so-called design) in the initial versions. In the early years of the 21st century, he returned to more abstract forms and experienced defining forms, especially more independent coloring. So, it was Cohen’s process of continuous training and his empiricism that made this AI mysterious, fascinating, and exciting at the same time.
Here, first, a description of digital and computer art is presented and its characteristics are discussed. Afterward, the artificial intelligence (AI) art and its similarities and differences with human art are addressed using AARON software, and its distinguishing feature, that is the selection in the process of forming the artistic work, is described. Finally, some challenges to this type of art, including the lower quality of the works created by this software, the issue of predestination and free will in its performance, and especially the issue of AARON destiny will be discussed.

Keywords
Reference Najmedin, Foad; Moghanipour, Majid Reza. Examining the Capabilities and Challenges of AARON (Painter Software). Actual Problems of Theory and History of Art: Collection of articles. Vol. 13. Eds A. V. Zakharova, S. V. Maltseva, E. Iu. Staniukovich-Denisova. — Lomonosov Moscow State University / St. Petersburg: NP-Print, 2023, pp. 687–700. ISSN 2312-2129. http://dx.doi.org/10.18688/aa2313-7-55
Publication Article language english
Bibliography
  • 1. Arnason H. H. (1998) Tarikh-e Honar-e Novin (A History of Modern Art: Painting, Sculpture, Architecture, Photography). Tehran, Negah Publ., 2009. 752p. (in Persian).
  • 2. Anna N. State of the Art: AI through the (Artificial) Artist’s Eye. Proceedings of EVA. London, 2020, pp. 322–328.
  • 3. Boden A. Margaret. Artificial Intelligence Creativity and Artificial Intelligence. Creativity and Artificial, 1988, vol. 103, pp. 347–357.
  • 4. Cetinic E.; She J. Understanding and Creating Art with AI: Review and Outlook. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021, vol. 18, pp. 1–22.
  • 5. Coeckelbergh M. Can Machines Create Art? Philosophy & Technology, 2017, vol. 30, pp. 285–303.
  • 6. Cohen H. Brother Giorgio’s Kangaroo. 1990. Available at: http://www.aaronshome.com/aaron/publications/index.html (accessed 2 April 2022).
  • 7. Cohen H. Interview. 2011. Available at: http://www.youtube.com/watch?NR=1&v=1UfbkFLISTQ&feature=endscreen (accessed 24 March 2017).
  • 8. Cohen H. Making Art for a Changing World. 2002. Available at: http://www.aaronshome.com/aaron/publications/index.html (accessed 2 April 2022).
  • 9. Cohen H. The further exploits of AARON, Painter. 1994. Available at: http://www.aaronshome.com/aaron/publications/index.html (accessed 4 April 2022).
  • 10. Cohen H. What is an Image. 1979. Available at: http://www.aaronshome.com/aaron/publications/index.html (accessed 4 April 2022).
  • 11. Crowther P. Ontology and Aesthetics of Digital Art. The Journal of Aesthetics and Art Criticism, 2008, 22(2), pp. 161‒170.
  • 12. Elgammal A. Marian M. Artists, Artificial Intelligence and Machine-Based Creativity in Playform. Artnodes, 2020, vol. 26, pp. 1–8.
  • 13. Greene R. Internet Art, London. Thames & Hudson Publ., 2004. 224p.
  • 14. Goodman N.; Elgin C. Conceptions in Philosophy and other Arts and Sciences. Indianapolis, Hackett Publishing Company, 1988. 188 p.
  • 15. Hertzmann A. Can Computers Create Art? Arts, 2018, vol. 7, pp. 1–32.
  • 16. Hui Y. On The Existence of Digital Objects. Minneapolis, University of Minnesota Press. 2016. 336 p.
  • 17. Januszczak W. Congo the chimpanzee. 2005. Available at: https://waldemar.tv/2005/09/art-congo-the-chimpanzee/ (accessed 2 May 2022).
  • 18. Kulvicki J. On Images: Their Content and Structure. New York, Oxford University Press. Publ., 2006. DOI: 10.1093/019929075X.001.0001
  • 19. Lieser W. et al (eds). Digital Art; Art Pocket. Potsdam, Ullmann Publ., 2007. 288 p.
  • 20. Lopes D. M. Falsafe-ye Honar-e Rayane-i (A Philosophy of Computer Art). Tehran. Qufnoos Publ., 2018. 215 p. (in Persian).
  • 21. Mazzone M.; Elgammal A. Art, Creativity, and the Potential of Artificial Intelligence. Arts, 2019, vol. 8, pp. 1–9.
  • 22. Pindar Project. Available at: http://vanarman.com/ (accessed 2 May 2022).
  • 23. Pindar Project; Gallery of paintings by artists with Pindar robot. Available at: https://www.cloudpainter.com/gallery (accessed 2 May 2022).
  • 24. Ploin A.; Eynon R.; Hjorth I.; Osborne M. A. AI and the Arts: How Machine Learning is Changing Artistic Work (Report from the Creative Algorithmic Intelligence Research Project). Oxford Internet Institute, University of Oxford, U.K., 2022.
  • 25. Thomson-Jones K. A. The Philosophy of Digital Art. Nodelman E. N. (ed.). Stanford Encyclopedia of Philosophy. Metaphysics Research Lab., 2022.
  • 26. Walther C. On Proving the Termination of Algorithms by Machine. Artificial Intelligence, 1994, vol. 71, pp. 101–157.
  • 27. Wollheim R. Art and Its Objects. New York. Cambridge University Press Publ., 2015. 183 p.
  • 28. Wu Y.; Mou Y.; Li Z.; Xu K. Investigating American and Chinese Subjects’ Explicit and Implicit Perceptions of AI-generated Artistic Work. Computers in Human Behavior, 2020, vol. 104, pp. 1–11.