Author(s) :

Bo-Er Cai.

Volume/Issue :

Abstract :

The emergence of AI-generated art has profoundly challenged conventional paradigms of aesthetic evaluation and market valuation, necessitating innovative methodologies to assess its artistic merit and economic worth. This study introduces a comprehensive multi-dimensional aesthetic evaluation framework, encompassing five pivotal dimensions-Formal Aesthetics, Technical Innovation, Conceptual Depth, Innovative Uniqueness, and Audience Interactive Experience-to appraise the aesthetic and cultural significance of AI-generated artworks systematically. Complementing this, a logarithmic regression model for market value quantification is developed, integrating key determinants such as technical innovation, human-machine collaboration, creator reputation, aesthetic score, and cultural influence. Empirical analysis, including case studies of seminal AI artworks and market segmentation data (2018–2023), demonstrates that enduring market success requires combining technical sophistication, conceptual profundity, and institutional endorsement. The proposed frameworks offer robust tools for artists, collectors, curators, and scholars to navigate the complexities of the AI art market, while underscoring the necessity for further longitudinal and cross-cultural research to address the evolving landscape of algorithmic creativity.

Keywords :

AI-generated art, Aesthetic evaluation framework, Market value quantification, Technical innovation, Art market segmentation

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