This study examines the effects of artificial intelligence (AI) on art, especially innovations in the field of visual processing, and discussions in the art world. It is a fact that AI has transformed the traditional understanding of art and reshaped the creative processes of artists and the ways viewers interact with art. Techniques such as convolutional neural networks (CNN) and Generative Adversarial Networks (GAN) make it easier to analyze and produce works of art. However, the effects of AI on art are not limited to technical innovations; ethical issues such as creativity, originality, and copyrights also come to the fore. In this study, the role of artificial intelligence in art and its application areas have been examined in detail, and possible future problems that may arise from its use in art production have been emphasized. In the study, literature review, one of the qualitative research methods, was used, and the conceptual structure of the study was created by scanning the resources related to the study. In the organization of the obtained data, the relevant sections were created by applying the content analysis method.