| Title: | Creative alienation in art due to artificial intelligence |
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| Authors: | ID Özer, Mahmut (Author)
ID Perc, Matjaž (Author) |
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| Files: |  RAZ_Ozer_Mahmut_2025.pdf (178,65 KB)
MD5: 715158397C17E1F744983E4F8BE5911E
 https://dergi.bilgi.edu.tr/index.php/reflektif/article/view/632
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.02 - Review Article |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
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| Abstract: | Artificial intelligence is rapidly transforming operations across diverse sectors, including education, healthcare, the arts, economics, pharmaceuticals, and defense. In particular, generative AI has begun to reshape content-driven fields such as text generation, graphic and video production, and cross-lingual translation. Its growing role in artistic domains is especially noteworthy. However, as AI becomes more integrated into creative processes, a range of challenges has emerged. These include concerns about data privacy, biased or inaccurate content, hallucinated outputs, and disruptions to employment. At the same time, efforts to address these issues are underway. Research has also shown that AI tools, while reducing cognitive load, may diminish active engagement in learning. This disengagement can lead to shallow learning, distorted memory formation, and weakened critical thinking. Against this backdrop, the present study explores the issue of alienation that arises in the relationship between the artist and their work as AI becomes a creative agent. It also examines the connection between this alienation and the artist’s cognitive and neural engagement during the creative process. |
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| Keywords: | art, alienation, cognitive load, labor, brain activity, social physics |
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| Publication version: | Version of Record |
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| Publication date: | 14.10.2025 |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 1105-1118 |
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| Numbering: | Letn. 6, št. 3 |
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| PID: | 20.500.12556/DKUM-95773  |
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| UDC: | 004.8 |
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| ISSN on article: | 2718-0344 |
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| COBISS.SI-ID: | 253970947 |
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| Publication date in DKUM: | 21.10.2025 |
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| Views: | 159 |
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| Downloads: | 15 |
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| Metadata: |    |
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| Categories: | Misc.
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