This PhD thesis investigates the impact of computer-generated art (CG-art) on the concept of artistic creativity in the era of Artificial Intelligence (AI). By refining the notion of CG-art, this study aims to establish a clear understanding of what constitutes an AI-generated artwork. Drawing from the fields of Cognitive Science, Aesthetics, and Computer Science, this research explores the intersections of these disciplines. The proposed definition of AI-generated artwork involves three essential elements: (1) the autonomous production of a novel and surprising idea or artifact by AI, (2) the successful evaluation of this creation through an embedded internal mechanism within the AI system, and (3) recognition of the artwork's potential for appreciation by human audiences.
This refined definition serves as a framework to analyze various aspects of CG-art and determine their eligibility as AI-generated artworks. The discussion employs specific examples, including the Deep Dream algorithm, the painting "Portrait of Edmond de Belamy," and the music albums "I AM AI" and "PROTO," to illustrate the practical application of the proposed definition. Through this research, we gain valuable insights into the transformative role of AI in reshaping artistic creativity and its implications for the future of art.
Find the dissertation via the link below:
Leonardo Arriagada Beltran (2023). CG-art: an aesthetic discussion of the relationship between artistic creativity and computation. https://hdl.handle.net/11370/b1bf3ff3-a5d8-422d-8c54-e1273a991b0b
Source: Rijksuniversiteit Groningen
Icon image: CG-art: An aesthetic discussion of the relationship between artistic creativity and computation (Dissertation of Leonardo Arriagada Beltran, 21 sept. 2023)