生成式人工智能侵权由于存在其特殊性，在现行归责原则当中去准确认定其侵权责任类型，就要求首先要确定他的法律定位。生成式人工智能法律定位为服务形态而非产品形态存在，是因为不符合传统产品责任中“产品”的定义，且其输出信息造成的损害通常不直接威胁人身安全，因此不宜适用严格的产品责任规则。这一界定既有利于鼓励技术创新，也可避免用户故意诱导侵权后要求开发者担责的不公平现象。为实现责任认定的公平性与科学性，建议采用责任主体多元区分机制，根据技术开发者、运营者及使用者在侵权链条中的具体角色分配责任。尤其对服务提供者过错的认定，应采客观化的注意义务标准。通过类推适用网络服务提供者责任框架，并引入动态化的归责原则调整机制和风险分散机制，可在保障受害人权益的同时，为生成式人工智能产业的健康发展提供制度空间。

Due to the particularity of generative artificial intelligence infringement, accurately determining the type of infringement liability in the current attribution principles requires first determining its legal positioning. The legal positioning of generative artificial intelligence as a service form rather than a product form exists because it does not meet the definition of “product” in traditional product liability, and the damage caused by its output information usually does not directly threaten personal safety. Therefore, strict product liability rules should not be applied. This definition is beneficial for encouraging technological innovation and avoiding the unfair phenomenon of users intentionally inducing infringement and demanding developers to take responsibility. To achieve fairness and scientificity in the determination of responsibility, it is recommended to adopt a mechanism of multiple differentiation of responsibility subjects, and allocate responsibility based on the specific roles of technology developers, operators, and users in the infringement chain. Especially for the determination of the fault of service providers, an objective standard of duty of care should be adopted. By applying the responsibility framework of network service providers through analogy and introducing dynamic attribution principles and risk diversification mechanisms, it can provide institutional space for the healthy development of the generative artificial intelligence industry while safeguarding the rights and interests of victims.