人工智能生成物的溢出风险及监管规则研究  

Research on the Spillover Risks of Artificial Intelligence-Generated Contents and Regulatory Rules

作　　者：张军荣[1] ZHANG Jun-rong

机构地区：[1]中南民族大学法学院

出　　处：《行政法学研究》2025年第2期129-141,共13页Administrative Law Review

基　　金：2020年国家自然科学基金青年项目“产权结构对高校专利转化绩效的影响研究”(项目批准号:72004238);2023年中央高校重点项目“基于知识产权制度发展的职务成果用语体系研究”(项目批准号:CSZ23014)。

摘　　要：人工智能的快速发展及人工智能生成物的爆发式增长引发了数据风险及监管难题。为明确AIGC的溢出风险并确立相应的监管规则,通过梳理AIGC在各典型应用场景的发展现状,厘清了AIGC存在的数据污染风险、信息泄露风险、数据歧视风险和通用性伦理风险。通过对比国内外AIGC监管的制度内容,发现当前监管模式存在人力监管能力不足、“产品”质量标准缺失、数据歧视监管规则缺失、分级管理规则模糊四个方面的缺陷。相应地,提出了建立以技术监管规则、质量标准规则、无歧视规则、分类分级规则等为基本内容的AIGC监管体系。The rapid development of artificial intelligence and the explosive growth of artificial intelligence-generated contents have given rise to data risk and regulatory challenges.In order to clarify the spillover risk of AIGC(Artificial Intelligence Generated Content)and establish corresponding regulatory rules,this paper has sorted out the development status of AIGC in various typical application scenarios and clarified the risks of data pollution,information leakage,data discrimination,and general ethical issues existing in AIGC.By comparing the institutional contents of AIGC supervision at home and abroad,it is found that there are four deficiencies in the existing supervision mode,namely,insufficient human supervision capacity,lack of“product”quality standards,lack of regulatory rules on data discrimination,and ambiguous classification and grading management rules.Correspondingly,it is proposed to establish an AIGC regulatory system with the basic contents of technical supervision rules,quality standard rules,non-discrimination rules,and classification and grading rules.

关 键 词：人工智能生成物 风险溢出 技术监管 质量标准 无歧视规则 

分 类 号：F83[经济管理—金融学]