AESTHETIC AND TECHNICAL EVALUATION OF AI-BASED VISUAL ARTS PRODUCTIONS: A QUALITATIVE ANALYSIS THROUGH SELECTED CASES

Today, artificial intelligence technologies are widely used in many fields, thanks to the increase in digital data and the fact that this data has become easily accessible, shareable, and reproducible. In particular, machine learning and deep learning-based applications have made it possible for artificial intelligence to be used effectively not only in technical fields but also in art and design practices. AI-supported visual art productions open up contemporary art to rethinking creative processes, aesthetic approaches, and the artist-technology relationship. This study aims to examine the position of AI-based artistic productions within contemporary art practices using a qualitative approach. Within the scope of the research, selected AI-based visual artworks with different technical infrastructures and production processes were analyzed using the case study method. The findings reveal that AI-based productions do not present a singular artistic approach; rather, they exhibit a multi-layered structure that varies according to algorithmic autonomy, human-machine collaboration, and conceptual guidance. The study aims to offer a critical assessment of the relationship between artificial intelligence and visual art through current examples.