J Zhang
With the continuous iteration of artificial intelligence technology, the AI-generated content has penetrated into various fields of social production and daily life. The copyright ownership mechanism of artificial intelligence generated content evolves with technological progress, legal change and industrial development. This evolution can be divided into three stages : the embryonic stage, the development stage and the mature stage. The core of the conflict is to coordinate the contradiction between technological innovation and the lag of legal regulation. The primary goal is to balance the rights and public interests of multiple stakeholders. This paper systematically combs the evolution of this attribution mechanism by means of literature research, historical analysis, comparative research and case study. This paper makes an in-depth analysis of the core issues such as the absence of legal personality of artificial intelligence, the inconsistency of originality identification standards, and the imbalance of rights distribution among multiple stakeholders. On this basis, it clearly puts forward targeted solutions such as the legal status of artificial intelligence, the standardization of identification standards, and the establishment of a multi-stakeholder rights allocation system. This study improves the theoretical framework of artificial intelligence copyright protection, and provides practical guidance for legislative revision, judicial adjudication and the development of artificial intelligence industry, thus promoting the benign synergy between technological innovation and rights protection.