NEURAL NETWORKS: ASSISTANTS OR OPPONENTS TO A MODERN ARTIST?
Abstract and keywords
Abstract (English):
This article raises a current topic dedicated to the question “will artificial intelligence replace artists, will it change modern art?” The purpose of this study is an attempt to determine the role of neural networks in the field of art using the example of an analysis of the neural work “Space Opera Theater” by Jason Allen. But before moving on to the analysis of the work, a review of scientific sources was carried out, where it was possible to find out that many works are devoted to the problem of copyright of works of neural networks: the author is an artist, a machine or the creators of this machine? In general, scientists provide a theoretical basis for the topic, but little practical work has been done to study the role of neural networks and AI in art. There have been no detailed analyzes of the products of neural networks, so this article is devoted to this difficult and controversial matter. As a result of the work, it was possible to find out that it is possible to carry out a philosophical and art analysis of the work of a neural network, as well as to determine the artistic idea of a work. This is due to the fact that the “Space Opera Theater” imitates the language of traditional arts. At the very end, the idea was confirmed that the artist had not lost his position as a creator; the neural network acted as an assistant. From an interview with the artist, it became clear that he spent about 80 hours of work on the piece, which was unfairly condemned by other artists, calling it a "two-click" job. At the conclusion of the article, it was said that neural networks are currently auxiliary in the field of art, but their influence is high, which can lead to strong changes in the understanding of what art is, leading to changes in its canons.

Keywords:
neural networks, artificial intelligence, Midjourney, philosophical and art method
References

1. Asadchikh, A. A., & Sushinskaya, Y. A. (2023). Research approaches to conducting digital cultural studies: an analytical review. Digitization, 4(4), 26-33. - EDN QGYDDK.

2. Degtyarenko, K. A. (2023). Artificial intelligence in medicine. Overview of the 21st International Conference on Artificial Intelligence in Medicine (June 2023). Asia, America and Africa: History and Modernity, 2(3), 27-42. DOIhttps://doi.org/10.31804/2782-540X-2023-2-3-27-42. - EDN DBFYWB.

3. Zharova, M. (2023). How does a neural network work: Understanding the basics. blog.skillfactory.ru. URL: https://blog.skillfactory.ru/kak-rabotaet-nejronnaya-set-razbiraemsya-s-osnovami/ (Accessed: May 24, 2023).

4. Isakova, Z. T., & Kashkin, S. Y. (2020). Modern copyright and the problems of artificial intelligence development. Bulletin of the O. E. Kutafin University, 2, 43-52.

5. Belousova, S. V., Ragimova, R. A., Suetina, A. S., & Sergeeva, N. A. (2023). Artificial intelligence: a fantasy of the past or a real present. Sociology of Artificial Intelligence, 4(3), 41-55. - EDN CSGOUP.

6. Ishutin, A. V., Kosarimov, S. V., & Chikirka, E. V. (2021). "Neural art" as an object of copyright. Social Innovations and Social Sciences, 1, 133–144.

7. Karpanov, A. (2022). How neural picture generators work (ELI5 format). habr.com. URL: https://habr.com/ru/post/681310/ (Accessed: March 20, 2023).

8. Kolesnik, M. A., & Kopceva, N. P. (2023). Artificial intelligence as a systemic technology. Digitization, 4(4), 59-76. - EDN VOFSNL.

9. Kolesnik, M. A., & Kopceva, N. P. (2024). Philosophical foundations of digital humanism. Digitization, 5(1), 18-34. - EDN DOHPLW.

10. Kopceva, N. P., & Zamaraeva, Y. S. (2024). Modern research in the field of artificial intelligence sociology: basic approaches. Part 6.5. Sociology of Artificial Intelligence, 5(1), 8-20. - EDN IVJCUH.

11. Kopceva, N. P., & Zamaraeva, Y. S. (2023). Modern research in the field of artificial intelligence sociology: basic approaches. Part 6.4. Sociology of Artificial Intelligence, 4(4), 8-19. - EDN GXNYRB.

12. Lesnichikh, A. A., & Sergeeva, N. A. (2023). Digitization in theatrical art. Digitization, 4(3), 33-40. - EDN LMQLTC.

13. Mamaeva, S. D. (2023). Artificial intelligence in digital cultural studies: an analytical review of scientific literature. Digitization, 4(3), 8-16. - EDN RZIENT.

14. Milovidov, S. V. (2022). Artistic features of computer art works created using machine learning technologies. Articul. 48, 36-48.

15. Milgizin, I. E., & Baeva, L. V. (2017). On the issue of creativity in artificial intelligence neural networks. Philosophical Problems of Information Technologies and Cyberspace, 13(1), 61-71.

16. Morkovkin, E. A., Novichikhina, A. A., & Zamulin, I. S. (2021). Artificial intelligence as a tool of contemporary art. Bulletin of the N. F. Katanov Khakass State University, 1(35), 55-59.

17. Omelik, A. A. (2023). Analysis of the position of creative professionals and institutions regarding copyright on works created using AI. Sociology of Artificial Intelligence, 4(4), 39-44. - EDN GQAZJH.

18. Omelik, A. A. (2024). AI in the field of culture and art: a review of publications. Sociology of Artificial Intelligence, 5(1), 42-48. - EDN FUMHAH.

19. Rakhmatullina, R. Sh. (2020). The use of artificial intelligence technologies and features of protecting its results. Education and Law, 11, 173-177.

20. Ryabova, A. A., & Suprunova, E. P. (2021). I3 – Ingenious artificial intelligence. Bulletin of the Taganrog Institute of Management and Economics, 1, 122-128.

21. Sergeeva, N. A. (2023). Review of the book "Visual Representations of the Arctic: Imaginary Flickering Worlds in Culture, Literature and Politics". Sociology of Artificial Intelligence, 4(3), 64-76. - EDN GXFQKU.

22. Sirenko, S. O., & Zamaraeva, Y. S. (2023). Participatory practices of contemporary art (based on the analysis of artworks by Tiharu Siot). Asia, America and Africa: History and Modernity, 2(2), 56-90. DOIhttps://doi.org/10.31804/278

23. Faustova, K. I. (2017). Neural networks: application today and prospects for development. Territory of Science, 4, 83-87.

24. Hvorostov, V. V. (2024). Problems of interaction between AI and art and possibilities of their solution from the perspective of a professional community: a case study of Krasnoyarsk. Sociology of Artificial Intelligence, 5(1), 34-41. - EDN UQNFVA.

25. Shpak, A. A., & Kirko, V. I. (2023). Vladimir Geroymenko's Concept "Augmented Reality and Artificial Intelligence. Merge of Advanced Technologies" (Springer, 2023). Sociology of Artificial Intelligence, 4(3), 22-40. - EDN BPNIHE.

26. Ahmed, E., Bingchen, L., Mohamed, E., & Marian, M. (Year). CAN: Creative Adversarial Networks Generating “Art” by Learning About Styles and Deviating from Style Norms.

27. Kopceva, N. P., & Bachova, N. A. (2010). System of Culture in Krasnoyarsk Region: Main Subjects and Cultural Values. Journal of Siberian Federal University. Humanities and Social Sciences, 3(3), 344-381. - EDN MJCSVH.

28. Semenova, A. A., & Kopceva, N. P. (2009). Truth as a Form of Modelling of Integrity at Social Being Level. Journal of Siberian Federal University. Humanities and Social Sciences, 2(1), 31-55. - EDN JWVEFX.

Login or Create
* Forgot password?