YAPAY ZEKA İLE ÜRETİLEN RESİMLERİN SANAT ELEŞTİRİSİ BAĞLAMINDA DEĞERLENDİRİLMESİ: ORİJİNALLİK, YARATICILIK VE ANLAM PROBLEMİ
ASSESSING AI-GENERATED IMAGES IN THE CONTEXT OF ART CRITICISM: THE PROBLEMS OF ORIGINALITY, CREATIVITY, AND MEANING

Summary/Abstract: The purpose of this article is to analyze the fundamental problems encountered by artificial intelligence (AI)-generated images within the traditional paradigm of art criticism, such as originality, creativity, and the production of meaning, from an interdisciplinary perspective. The significance of the study stems from the inadequacy of critical theories in understanding these new forms of production within the rapidly transforming art environment shaped by digital aesthetics, and the urgent need for a theoretical framework in this field. The limitations of the research are confined to the variety of AI types examined (primarily GANs and Diffusion Models) and the diversity of digital works selected as the sample. A qualitative and theoretical methodology, encompassing philosophy, art criticism, computer sciences, and media studies, has been adopted in the article. The findings reveal that the concept of originality shifts from the object to the process within the human-AI dialectic; that creativity must be redefined as a product of a distributed network rather than a single subject; and that meaning undergoes an ontological shift from artist intention towards algorithmic processes and, ultimately, the viewer's interpretation. The fundamental contribution of the study to the field is to explore the possibilities of a new critical language capable of addressing AI art from a non-anthropocentric viewpoint around this triad of problems, and to propose conceptual tools such as "computational originality" and "distributed creativity". Consequently, the argument is developed that AI art constitutes a productive challenge which compels art criticism to reconsider its fundamental assumptions.

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