GAI知识产权安全与信息安全的关联性研究

Research on the Correlation between GAI Intellectual Property Security and Information Security

摘要: 随着生成式人工智能(GAI)技术的快速迭代，知识产权保护面临新的挑战，亟需在现有法律框架下探索适应技术特性的治理路径。本文首先梳理了相关文献，总结了GAI在打破数据、算法与内容边界后，引发的权利客体、主体及归属界定模糊等共性问题。基于此，本文分析了当前亟待解决的关键风险：核心数据资源的保护不足可能导致企业竞争优势的流失；算法与模型的过度专利化可能形成技术壁垒，进而抑制行业创新生态的活力；生成式内容的版权归属不清则加剧了法律确权与合规风险。针对上述问题，本文在分析欧美相关政策演变趋势的基础上，提出了完善法律法规确权、建立数据交易合规机制、构建多元协同治理体系等具体对策。旨在平衡GAI技术创新与知识产权保护，维护公平竞争的市场秩序。

Abstract: With the rapid evolution of Generative Artificial Intelligence (GAI) technology, intellectual property (IP) protection faces unprecedented challenges. It is urgent to explore governance approaches within existing legal frameworks that accommodate the specific characteristics of this technology. This paper first reviews relevant literature and summarizes common issues arising from the blurring of boundaries between data, algorithms, and content by GAI, specifically focusing on the ambiguity in defining the subjects, objects, and ownership of rights. Building on this analysis, the paper examines key risks that urgently need to be addressed: insufficient protection of core data resources may lead to the erosion of corporate competitive advantages; excessive patenting of algorithms and models may create technical barriers, thereby stifling the vitality of the industrial innovation ecosystem; and unclear copyright ownership of generated content exacerbates risks associated with legal determination of rights and regulatory compliance. In response to the aforementioned issues, this paper, after analyzing the evolving trends of relevant policies in Europe and the United States, proposes specific countermeasures such as improving laws and regulations for rights confirmation, establishing a compliant mechanism for data transactions, and constructing a multi-stakeholder collaborative governance system. These measures aim to strike a balance between technological innovation in GAI and intellectual property protection, while safeguarding a fair and competitive market order.