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Practical Implication of Generative AI in the Science and Art Imaging Process: Generative AI Is for Poets
Abstract
Generative art using autonomous systems like algorithms and mathematical rules offers unique visual experiences, often associated with aesthetic statements. A constructive dialogue is emerging around the legitimacy of this form of artistic representation, the AI's role in the creative process, and its ability to convey visual information of aesthetic value. This paper aims to contribute to this discussion by reviewing extensive literature on the topic and testing AI systems specifically designed to generate images with prompts or directives. Using traditional art evaluation criteria such as composition, originality, and technical skill, this research's findings provide valuable insights and encourage thoughtful reflection on the societal, legal, and educational implications of AI integration in art programs. Further, this experiment raises important questions about the definitions of creativity and authenticity. Such considerations are crucial for preparing students and future generations of professionals to express themselves both visually and creatively.
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