The aim of this research structured with Case Study is to discuss the ability of artificial intelligence to imitate the stylistic features of artists. It is desired to examine the ability of Artificial Intelligence, which creates a certain area of influence in the field of art, to carry style on the way to becoming an artist. Depending on this purpose; At what level is the artistic reflection skill of Artificial Intelligence? Can Artificial Intelligence imitate style? How can this situation be evaluated from an artistic point of view? questions were discussed.
The research consists of two stages: introducing the artist to the artificial intelligence through the paid version and creating a painting and creating a work directly through the free versions. The free versions were created with ‘ChatGPT 4.0’ and ‘Davinci’, ‘Craiyon’ and ‘Gencraft’ artificial intelligence programmes with the same text by changing only the artist name. Different variations for each artist are presented together in the text. The theme of migration was tried to be transformed into visuals reflecting the stylistic characteristics of the artists. Thus, in the research, the ability of artificial intelligence to imitate the stylistic features of artists was investigated.
The results show that artificial intelligence can partially imitate stylistic features in terms of colour, figure and composition. However, while doing this, it interprets the works and artists with more recognition better. In the resulting images; anatomical problems in figure depictions, composition and technical problems were observed. Since no detailed experiments were carried out between paid and free versions during the process, no major differences were detected. However, it has been observed that the current artificial intelligence infrastructure is not very compatible with the idea that artists can take away their professions. Nevertheless, the future status of artificial intelligence, which has a developing structure, may pose a question on the idea.
This research does not require any ethical approval.
Primary Language | English |
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Subjects | Photography, Video and Lens-Based Practice, Visual Arts (Other) |
Journal Section | AI, Metaverse and Advanced Technologies in Art |
Authors | |
Early Pub Date | September 15, 2024 |
Publication Date | September 30, 2024 |
Submission Date | July 29, 2024 |
Acceptance Date | September 11, 2024 |
Published in Issue | Year 2024 Volume: 5 Issue: 3 |
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