The Analysis of Aesthetic Preferences for Cultural and Creative Design Trends Under Artificial Intelligence

This article aims to explore the trend of cultural and creative design combined with artificial intelligence (AI) technology and its modeling of aesthetic preferences. With the rapid development of AI technology, its application in cultural and creative industries is increasingly extensive, which brings new possibilities for cultural and creative design. At first, the paper analyzes the application status of AI technology in cultural and creative design, and focuses on the creative generation model based on Generation Against Network (GAN) and other technologies. Secondly, the paper discusses the modeling methods of aesthetic preference, including descriptive statistical analysis, linear regression, decision tree and cluster analysis. By modeling users’ aesthetic preferences, designers can better understand users’ needs and provide them with more personalized cultural and creative products. Finally, the paper looks forward to the future development trend, including multi-modal creative design and intelligent creative auxiliary tools. This paper aims to provide reference and guidance for the development of cultural and creative industries, and provide new ideas and methods for related research and practice.