Research Article
From Canvas to Code: the Evolution of Generative Art in the AI Era
@INPROCEEDINGS{10.4108/eai.15-9-2023.2340877, author={Lisha Ren and Murui Du}, title={From Canvas to Code: the Evolution of Generative Art in the AI Era}, proceedings={Proceedings of the 2nd International Conference on Art Design and Digital Technology, ADDT 2023, September 15--17, 2023, Xi’an, China}, publisher={EAI}, proceedings_a={ADDT}, year={2024}, month={1}, keywords={generative art artificial intelligence algorithmic art computational aesthetics}, doi={10.4108/eai.15-9-2023.2340877} }- Lisha Ren
Murui Du
Year: 2024
From Canvas to Code: the Evolution of Generative Art in the AI Era
ADDT
EAI
DOI: 10.4108/eai.15-9-2023.2340877
Abstract
Traditional art encounters a transformative wave as artificial intelligence takes center stage, challenging our perceptions and creative processes. In this review, we explore the evolution and contemporary landscape of generative art within the context of artificial intelligence. We aim to clarify and categorize the terminology and definitions associated with generative art while emphasizing its collaborative nature, involving both humans and autonomous systems. Throughout the review, we discuss the various phases of generative art from both theoretical and technological perspectives, ranging from early non-computer systems to algorithmic and artificial intelligence systems. Additionally, we delve into the generative artworks and practices, examining the value, ethical and creativity considerations surrounding them. We also analyze the aesthetic judgment and ongoing debates within the field. Finally, we propose a framework for dynamic collaborative interaction and reflect on the potential and future trends in generative art research and development.
