Arts Studies and Criticism

The implementation of generative AI tools has not only reshaped the contemporary art ecosystem through AI-generated artworks, but also triggered ethical dilemmas such as the erosion of subjectivity, copyright ambiguities, and aesthetic alienation. These challenges have compelled a paradigm shift in traditional art ontology. This study examines the reconstruction of art ontology in human-machine collaborative contexts, using ethical dilemmas as a starting point and combining commercial applications with avant-garde practice cases. It reveals that traditional creator identity definitions and copyright frameworks struggle to adapt to new creative models, while technological monopolies exacerbate aesthetic homogenization and fairness crises. Art ontology must transition from anthropocentric perspectives to a "human-machine-data" collaborative system framework, with value evaluation standards incorporating both technological innovation and cultural compatibility. Future efforts should focus on establishing interdisciplinary dynamic ethical norms, advancing copyright law reforms and tiered rights confirmation mechanisms, while balancing technological iteration with artistic integrity through humanistic values.