Principles of digital technologies introduction in the cultural and artistic practice

Authors

  • Tetyana Sovgyra

DOI:

https://doi.org/10.32461/2226-0285.1.2020.221332

Keywords:

technology, cultural and artistic process, algorithmic art, artifact, artificial intelligence.

Abstract

Purpose of the Article. The study is related to the study of the current state of culture and best practices in using the latest digital technologies in the cultural and artistic process. The author analyzes the specifics of the works created through the use of "artificial intelligence" technology. The methodology is based on an integrated approach and analytical (in the analysis of philosophical, art history, cultural literature on the subject of research), historical (in clarifying the stages of the formation of algorithmic art as a modern art form) and conceptual (in analyzing and characterizing the conceptual and terminological research system) research methods. The scientific novelty lies in the fact that for the first time the specifics of using digital technologies, in particular artificial intelligence, in the field of art, is considered. The article discusses the role of digital technology in the process of creating works of art. Conclusions. It was revealed that artificial intelligence is a technology that can only produce invariants of already created masterpieces, the recombination of what has already been created by man. Using digital technology, you can create not only static images in the form of paintings printed on a 3D printer but also dynamic video installations. The principles of the functioning of artificial intelligence technology in the process of creating works of art are considered. It was revealed that with the help of artificial neural networks commercial projects related to the recognition of images and sound information are successfully implemented.

References

Amosov N. M (1979). Algoritmy razuma. Kiev :Naukova dumka [in Russian].

Bakhtiiarov O. H. (2007). Psykhonetyka i tekhnolohii. Totallogi–ХХІ Postklasychni doslidzhennia. Kyiv, 28–40. [in Ukrainian].

Viner N. (1983). Kibernetika, ili upravlenie i svjaz' v zhivotnom i mashine. M.: Nauka [in Russian].

Glushkov V. M. (1964). Vvedenie v kibernetiku. K.: AN USSR [in Russian].

Novotarskyi M. A., Nesterenko B. B. (2004). Shtuchni neironni merezhi: obchyslennia. Pratsi Instytutu matematyky NAN Ukrainy. T. 50. Kyiv: In-t matematyky NAN Ukrainy [in Ukrainian].

Soboleva M. Iskusstvennyj intellekt zavoevyvaet iskusstvo. URL: https://rozetked.me/articles/6285-iskusstvennyy-intellekt-v-iskusstve-glazami-hudozhnika [in Russian].

Kandinskij V., Shenberg A. (2017). Perepiska 1911–1936. M.: Grundrisse [in Russian].

Artificial: na zori shtuchnoho intelektu. Microsoft. URL: https://news.microsoft.com/ru-ru/features/artificial/ [in Russian].

Chubukova O. Yu. (2015). Kibernetyka: vid prostykh system ta tekhnolohii do kiberseredovyshcha. Aktualni problemy ekonomiky. 2015. № 12 (174), 28–33 [in Ukrainian].

AI Art at Christie’s Sells. URL: https://www.nytimes.com/2018/10/25/arts/design/ai-art-sold-christies.html

Lovejoy M. (2004). Digital Currents: Art in the Electronic Age. London: Routledge.

Popper F. (2007). From Technological to Virtual Art. London: MIT Press Cambridge.

Published

2020-12-19

Issue

Section

Культурологія