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禁止欺诈:人工智能伪造的规制进路 被引量:1

Prohibition of Fraud: Regulatory Approach to Artificial Intelligence Forgery
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摘要 算法深度学习和伪造的结合产生了新型人工智能伪造技术,虚假信息、冒充身份和伪造证据因此而变得常见且难以分辨。面对应用场景广泛的人工智能伪造技术,我国现行规制仅侧重网络信息治理且治理效果有限。结合域外治理实践和结果看,规制人工智能伪造技术必须回归本质,以统一的“人工智能法”为主构建治理体系。未来“人工智能法”可以尝试从安全标准、数据保护和评估、建立有效监管体系和协调责任分配等方面展开对人工智能伪造的规制。 The combination of algorithm profound learning and forgery has spawned a new type of artificial intelligence forgery technology,so false information,impersonation of identity and forged evidence have become common and difficult to distinguish.In the face of artificial intelligence forgery technology which has a wide range of application scenarios,the current regulations in China only focus on network information governance,effect of which is limited.Combining the practice and results of extraterritorial governance,the regulation of artificial intelligence forgery technology must be returned to the essence,and a governance system should be constructed based on"a unified artificial intelligence law".In the future,"the artificial intelligence law"can be applied to regulate artificial intelligence forgery in terms of security standards,data protection and assessment,establishing an effective regulatory system,and coordinating the distribution of responsibilities.
作者 陈鹏程 CHEN Pengcheng(Law School of Anhui University of Finance and Economics,Bengbu 233000,China)
出处 《洛阳理工学院学报(社会科学版)》 2021年第4期51-58,共8页 Journal of Luoyang Institute of Science and Technology:Social Science Edition
基金 安徽财经大学研究生科创新研基金项目“罪行与证明标准——基于认罪认罚案件的实证研究”(编号:ACYC2019332)的阶段性成果.
关键词 人工智能伪造 人工智能法 技术安全 数据保护 监管体系 artificial intelligence forgery artificial intelligence law technical security data protection regulatory system
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