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产业驱动下的契约设计:基于用户协议的人工智能生成物的权属分配

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ChatGPT的出现开启了生成式人工智能新时代,引发了学界对人工智能生成物权属分配的激烈讨论。对此问题,传统的公权治理模式难以发挥预期效用,执着于等待立法确权角度进行规制恐延缓人工智能产业发展。为此,将原为"被治理者"的平台身份转化为"治理者",从公权治理转向平台自治或为纾解之道。在中国与美国的产业实践中,生成式人工智能服务平台广泛通过《用户协议》对生成物权利归属进行约定,方案可以归纳为用户归属模式和平台归属模式。不同的自治方案蕴含不同的价值考量,但平台的趋利性以及优势地位极易导致平台与用户之间的利益失衡。因此,有必要对平台自治模式进行合规分析,确保其在法律轨道上运行,防止合同显失公平等现象出现,才能充分发挥平台自治模式的优势。
Industry-driven Contract Design:User Agreement-based Ownership Allocation for Al-generated Objects
The emergence of ChatGPT opens a new era of generative AI,which triggers a heated discussion on the allocation of ownership of AI-generated objects.In this regard,the traditional public governance model is difficult to play the expected effect,and the persistence of waiting for legislation to regulate the perspective of rights may slow down the development of the artificial intelligence industry.In this regard,it may be a solution to transform the original platform identity of the"governed"into the"governor",and to shift from public governance to platform self-governance.In the industrial practice of China and the United States,generative AI service platforms have widely agreed on the attribution of generative rights through User Agreements,which can be categorized into user attribution models and platform attribution models.Different autonomy programs imply different value considerations,but the platform's profitability and dominant position will easily lead to an imbalance of interests between the platform and the users.Therefore,it is necessary to analyze the compliance of platform autonomy model to ensure that it operates on the legal track and to prevent phenomena such as contractual display of obvious unfainess,in order to give full play to the advantages of platform autonomy model.

AIGCownership allocationplatform autonomyuser agreement

张惠彬、柳森

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西南政法大学知识产权研究院,重庆401120

AIGC 权属分配 平台自治 用户协议

教育部重大攻关课题重庆市教委科学技术研究重点项目重庆市教委人文社会科学规划课题

22JZD015KJZD-K20230030422SKGH014

2024

新闻界
四川日报报业集团

新闻界

CSSCI北大核心
影响因子:0.567
ISSN:1007-2438
年,卷(期):2024.(7)