Abstract The rise of generative AI large language models (LLMs), such as ChatGPT, has sparked legal and ethical debates over copyright infringement. Artists argue that these systems exploit their intellectual property (IP), while developers maintain their methods are non‐expressive, thus avoiding direct legal violations. However, the training of AI on human‐generated media patterns raises fundamental questions about the ownership of artistic algorithms and patterns – the cognitive frameworks – that define an artist's style and creative fingerprint. These patterns, the result of years of practice and innovation, are appropriated by AI systems without proper recognition or compensation. This paper employs a systems approach to investigate these issues, analyzing the interplay of sociotechnical factors—technological, legal, and social—underpinning the tension between generative AI and artist IP rights. By framing the problem as a system with interdependent components, this research explores the pathways through which artists can assert ownership, developers can adopt fair practices, and legal frameworks can evolve to protect artistic integrity.
Wade et al. (Tue,) studied this question.
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