重庆科技大学学报（社会科学版）Issue(6)：99-113,15.DOI:10.19406/j.issn.2097-4523.2025.06.009
"直接产生"标准的教义学重构与AIGC作者身份认定研究
Doctrinal Reconstruction of"Direct Generation"Standard and Identification of AIGC Author
摘要
Abstract
The rapid development of generative artificial intelligence technology challenges the"direct generation"standard of copyright law.Based on the evolution of the standard,it traces back to the"direct generation"jurisprudential changes in the era of technology,photography and algorithm,and points out that the nature of the standard has evolved from"physical control"to"structural dominance"of works.Due to the indirectness of user behavior and the"black box"nature of the algorithm path in AIGC,the existing standards are difficult to effectively identify the creative contributions of human authors.A"direct generation"standard with an expression control path as its core is then proposed,characteristic of continuity of creative intention,causal consistency of expression results and behavior,and substantive control of expression structure.The standard is based on the intellectual property law philosophy of personality theory,labor theory and incentive theory,which shifts the focus of judgment from operational behavior to substantive control in the expression path,and emphasizes the guiding significance of prompt input,feedback intervention,generation and screening in the creation chain.By means of reconstruction of the"direct generation"standard through the doctrinal approach,while ensuring the legitimacy of copyright,it responds to the normative adaptation needs of"human-machine collaboration"creation in the era of artificial intelligence.关键词
生成式人工智能/直接产生/表达控制路径/教义重建/作者身份Key words
generative artificial intelligence/direct generation/expression control path/authorship determination/doctrinal reconstruction/author identity分类
社会科学引用本文复制引用
YIN Songqi,ZHOU Yichen.."直接产生"标准的教义学重构与AIGC作者身份认定研究[J].重庆科技大学学报（社会科学版）,2025,(6):99-113,15.基金项目
湘潭大学研究生科研创新项目"人机协作生成发明的专利法问题研究"(XDCX2024Y051)阶段性研究成果. （XDCX2024Y051）
