智能计算时代的数据权利审思及二元重塑基于数据价值实现路径演变的考察

    Reflection and Dual Reconstruction of Data Rights in the Intelligent Computing Era: An Investigation Based on Evolution of Data Value Realization Paths

    • 摘要: 计算技术发展作为数据上升为生产要素的直接原因决定数据的价值实现路径,而数据价值实现路径的改变又会影响数据权利的构建。不同计算技术背景下的数据价值实现路径有所区别,网络计算时代因算法专用性和数据价值场景性,数据需基于市场交易实现数据价值;智能计算时代,大模型可对数据价值提取转化后通过模型共享实现。在两种不同的数据价值实现路径中,基于模型共享数据价值的路径有更为便捷、技术门槛更低等显著优势,更利于数据价值实现。两种不同的价值实现路径下的数据权利构建理路亦有所区别。网络计算时代因数据需要通过市场交易实现价值,数据确权遵循“赋权-流通”的理路,背后隐含分配正义与交易效率两个目标,但分配正义与交易效率之间又相互对立,无法同时实现。智能计算时代在基于模型共享实现数据价值路径的实践需求中,正义和效率的最终落脚点竞合,核心在于分配正义的实现,应当以“持有-收益”的二元权利框架实现分配正义。持有权是在经过实质审查登记后,赋予数据持有者在排他范围、客体范畴、权利内容方面相对限缩的弱排他性权利。收益权是在持有权基础之上参照开放市场模型,数据持有者对数据所产生的增量价值享有收益的新型财产权。

       

      Abstract: The development of computing technology, as the direct driver for data’s rise to become a factor of production, determines the value realization path of data, and changes in the data value realization path, in turn, affect the construction of data rights. The paths of data value realization differ under different computing technology backgrounds. In the era of network computing, due to the specialization of algorithms and the contextual nature of data value, data value has to be realized through market transactions. With the advent of the intelligent computing era, large models can extract and transform data value, enabling its realization through model sharing. Between these two distinct paths of data value realization, the model-sharing path offers significant advantages such as greater convenience and lower technical barriers, making it more conducive to data value realization. The approaches to constructing data rights also differ under these two distinct value realization paths. In the network computing era, as data value requires market transactions, data rights confirmation follow the “empowerment-circulation” approach, which implicitly involves two objectives: distributive justice and transactional efficiency. However, distributive justice and transaction efficiency are often at odds with each other, making it difficult to achieve both simultaneously. In the intelligent computing era, within the practical demands of the model-sharing path of data value realization, the ultimate focuses of justice and efficiency converge, with the core lying in the realization of distributive justice. This should be achieved through a dual rights framework of “possession-benefit.” Possession rights refer to relatively limited weak exclusive rights granted to data holders—after substantive review and registration—in terms of exclusivity, scope of the object, and content of rights. Benefit rights are a novel form of property right, built upon possession rights, wherein data holders are entitled to the incremental value generated from the data, modeled after an open market framework.

       

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