Preview

SibScript

Advanced search

Artificial Intelligence and Art: Opportunities and Challenges

https://doi.org/10.21603/sibscript-2024-26-4-548-556

Abstract

Linguistic studies of art discourse are gaining more and more relevance in the context of rapidly developing artificial intelligence. This research featured the impact of art discourse on the audience and their interpretation of images generated by AI image generators based on text queries. AI image generators open up new opportunities for research and understanding of art and art discourse, which is interpretive and dualistic in nature. Anna Andrzhievskaya’s FV and Dawn from the catalogue of Heavenly Wasteland exhibition were tested using Shedevrum and Bing Image Creator. Expressive vocabulary helped to convey the original atmosphere and ideas. However, complex metaphorical images proved to be a barrier for correct interpretation. Epithets, similes, and hyperboles provided a clearer representation of the artist’s ideas, thus reducing the risk of misinterpreting by the neural networks. These devices improved the perception of artistic value and communication between the artist and her audience. The results can help art historians in verbalizing works of art, i.e., as a writing guide for art descriptions. In addition, they may improve the quality and accuracy of AI-generated images, i.e., in training neural networks to recognize expressive vocabulary and stylistic devices at the level of linguistic pragmatics.

About the Authors

N. A. Kurakina
Immanuel Kant Baltic Federal University
Russian Federation

Natalia A. Kurakina

Kaliningrad


Competing Interests:

The authors declared no potential conflict of interests regarding the research, authorship, and / or publication of this article.



D. S. Filippova
Immanuel Kant Baltic Federal University
Russian Federation

Daria S. Filippova

Kaliningrad


Competing Interests:

The authors declared no potential conflict of interests regarding the research, authorship, and / or publication of this article.



References

1. Anisimova E. E. Image of Saint Sanctifier Nicholas the wonderworker in hagiographic and art discourse (to the problem of the integrity of the verbal and the nonverbal). Vestnik of Moscow State Linguistic University. Humanities, 2014, (18): 11–23. (In Russ.) https://www.elibrary.ru/tewikv

2. Belmesova М. О. Main features of the art criticism discourse within the textual actualization of the English linguo-cultural concept "painting" (in the monograph by G. Reynolds "Turner. World of art"). Bulletin of the South Ural State University. Ser. Linguistics, 13(1): 62–68. (In Russ.) https://doi.org/10.14529/ling160111

3. Valuytseva I. I., Plohova A. B. Art criticism discourse (based on the analysis of paintings). Vestnik MGOU. Seriia: Lingvistika, 2013, (6): 105–110. (In Russ.) https://elibrary.ru/rrzyvp

4. Gorbacheva A. G. Artificial intelligence in contemporary arts: New Possibilities and challenges. Chelovek.RU, 2018, (13): 145–154. (In Russ.) https://doi.org/10.32691/2410-0935-2018-13-145-154

5. Elina E. A. Verbalized forms of synesthesia in the Russian and English art history discourse. Crossing borders: Intercultural communication in a global context: Proc. I Intern. Sci.-Prac. Conf., Moscow 14–16 Feb 2018. Moscow, 2018, 94–95. (In Russ.) https://elibrary.ru/xmswkd

6. Elina E. A. Verbal interpretations of works of fine art. Nominative and communicative aspect. Saratov, 2002, 256. (In Russ.) https://elibrary.ru/zgrgrd

7. Erokhina A. B. Communicative strategy of interpretation in art criticism discourse. Lomonosov Linguistics and Intercultural Communication Journal, 2017, (4): 72–78. (In Russ.) https://elibrary.ru/zxvxit

8. Zharkova U. A. Symbolic character of fine arts in the art criticism discourse in German Museum Catalogues. Bulletin of Chelyabinsk State University, 2011, (33): 49–52. (In Russ.) https://elibrary.ru/ozmwnd

9. Zelenova Yu. I., Manaeva S. V. Creativity of neural networks: Risks and opportunities for modern designers. Bulletin of Science and Practice, 2023, 9(6): 474–482. (In Russ.) https://doi.org/10.33619/2414-2948/91/56

10. Ivanova T. E., Akhidzhakova M. P. Art history discourse space: Pragmasemantic features of the organization. The Humanities and Social Sciences, 2021, (4): 125–135. (In Russ.) https://doi.org/10.18522/2070-1403-2021-87-4-125-135

11. Miletova E. V. English-language art critical discourse: Nature and lexical content. Philology. Theory & Practice, 2013, (4-2): 114–119. (In Russ.) https://elibrary.ru/pxslwz

12. Miletova E. V. Features of verbalization of evaluation in English-language art discourse (on the example of thematic texts on architecture and design). Vestnik Kurganskogo gosudarstvennogo universiteta, 2019, (1): 51–54. (In Russ.) https://elibrary.ru/ywitat

13. Milovidov S. V. Artistic features of computer artworks creating with machine learning technology. Articult, 2022, (4): 36–48. (In Russ.) https://doi.org/10.28995/2227-6165-2022-4-36-48

14. Minyar-Beloroucheva A. P. Polycode of art history discourse. Bulletin of the South Ural State University. Ser. Linguistics, 2017, 14(4): 16–20. (In Russ.) https://elibrary.ru/ylqptx

15. Morkovkin Ye. A., Novichikhina A. A., Zamulin I. S. Аrtificial intelligence as a tool of modern art. Vestnik Khakasskogo gosudarstvennogo universiteta im. N. F. Katanova, 2021, (1): 55–59. (In Russ.) https://elibrary.ru/bvvjyl

16. Olomskaya N. N., Bazhan A. S. Art criticism discourse: Specificity and classification. Kazan Linguistic Journal, 2022, 5(3): 346–359. (In Russ.) https://elibrary.ru/yunyyj

17. Olyanich A. V. Art discourse. Discourse-P, 2015, (2): 160–162. (In Russ.) https://elibrary.ru/umrihp

18. Petrenko A. S., Petrenko S. A. On the application of artificial intelligence in digital art. Distance education technologies: Proc. VIII Intern. Sci.-Prac. Conf., Yalta, 19–21 Sep 2023. Simferopol: Arial, 2023, 349–352. (In Russ.) https://elibrary.ru/iuafhq

19. Postnova E. A. Interpretation of works of art in fiction and non-fiction literature. Mirovaya literatura v kontekste kultury, 2015, (4): 134–140. (In Russ.) https://elibrary.ru/vejhqh

20. Samarina A. E., Boyarinov A. D. Neural networks for image generation: Pedagogical potential in higher education. Koncept, 2023, (11): 161–179. (In Russ.) https://doi.org/10.24412/2304-120X-2023-11116

21. Ushakova S. V., Bykovа P. I. The phenomenon of digital art in the representation of new media during the COVID-19 pandemic. Discourse of modern mass media in theory, social practice, and education: Proc. Intern. Sci.-Prac. Conf., Belgorod, 5–7 Sep 2022. Belgorod: Kosmos, 2022, 94–99. (In Russ.) https://elibrary.ru/cgjnnu

22. Fadeeva G. M. The perception of music and art and its verbalization. Human Being: Image and Essence. Humanitarian Aspects, 2015, (1): 231–240. (In Russ.) https://elibrary.ru/vfzubh

23. Khasanova Z. S., Miletova E. V., Bugayenko N. P. Some parameters and characteristics of English-language specialized art criticism discourse. Vestnik Brjanskogo gos. un-ta, 2014, (2): 397–408. (In Russ.) https://elibrary.ru/tubtcd

24. Amorim J. P., Teixeira L. Art in the digital during and after COVID: Aura and apparatus of online exhibitions. Rupkatha Journal on Interdisciplinary Studies in Humanities, 2021, 12(5). https://dx.doi.org/10.21659/rupkatha.v12n5.rioc1s1n2

25. Habelsberger B. E. M., Bhansing P. V. Art galleries in transformation: Is COVID-19 driving digitisation? Arts, 2021, 10(3). https://doi.org/10.3390/arts10030048


Review

For citations:


Kurakina N.A., Filippova D.S. Artificial Intelligence and Art: Opportunities and Challenges. SibScript. 2024;26(4):548-556. (In Russ.) https://doi.org/10.21603/sibscript-2024-26-4-548-556

Views: 316


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2949-2122 (Print)
ISSN 2949-2092 (Online)