Focusing on the impact of generative artificial intelligence (AI) technology on the copyright system, this study adopts an interdisciplinary research method integrating technical principle analysis and legal norm interpretation. It clarifies the technical characteristics of generative AI, such as its training mechanism and generation logic, and sorts out the application of core copyright law provisions including "originality", "subject qualification", and "right ownership". Through typical case analysis and comparison of international copyright protection rules, this paper specifically compares the differences in legislative models, right ownership rules, infringement identification standards, and public interest balance mechanisms for generative AI copyright protection across different countries and regions. A "creative contribution evaluation framework" is constructed, and a scenario-based right confirmation path is proposed to achieve dynamic balance between industrial innovation incentives and public interest protection.
Artificial Intelligence-Generated Works, Copyright.
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