The rise of generative AI systems has transformed the dynamics of artistic creation by shifting decision-making power from human creators to the non-human entities. In contrast to traditional tools that merely embodied human ideas, generative AI systems produce outputs that extend the human artist’s input, reshaping the interactions among artists, audiences and machines. While existing scholarship has primarily focused on the economic, legal, and philosophical implications of AI systems in the arts, such as job displacement and debates about artificial creativity, there remains limited research on how human creators delegate artistic autonomy to AI systems and how such delegation varies across different artistic practices. This paper aims to offer frameworks for addressing ‘contextual creativity’ and ‘desirable autonomy’ in AI-generated art and music. The analysis demonstrates how visual artists’ curatorial labour and musicians’ layered processes, from composition to performance, necessitate distinct approaches to recognising the value of AI-generated art and music. By contextualising human-AI collaboration within the two artistic practices, the paper points out the implications for artists, the creative industries and cultural policy, highlighting AI literacy, stratified copyright systems and sector-specific governance to maintain the value of AI-generated art and music. The study ultimately advances debates on the intrinsic value of the arts in the age of AI, offering pathways toward a sustainable ecosystem in which human and AI systems coexist under the context-dependent nature of creativity and artistic autonomy.
Park et al. (Fri,) studied this question.
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