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生成式人工智能训练数据风险的规制路径研究

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探讨了生成式人工智能如ChatGPT在训练数据方面的法律风险与规制问题.首先分析了生成式人工智能在数据来源、歧视倾向、数据质量以及安全风险等方面的问题,通过对中欧法律体系的比较研究,建议明确界定治理原则,并针对数据合规性制定完善路径.最后,从具体措施层面,对中国现行的法律规制提出了具体的完善建议,为生成式人工智能的健康发展与法律规制提供有益参考.
Legal regulation and enhancement path for mitigating risks in training data for generative artificial intelligence
This article discusses the legal risks and regulatory issues of generative artificial intelligence such as ChatGPT in train-ing data.It begins by analyzing issues related to the sources of data,tendencies towards discrimination,data quality,and security risks in generative AI.Subsequently,the article undertakes a comparative study of Chinese and European legal systems,propo-sing the clear definition of governance principles and the development of comprehensive pathways for data compliance.Finally,the article offers specific recommendations from a practical standpoint for the improvement of the current legal regulations in Chi-na.These suggestions are intended to serve as proper references for the healthy development and legal regulation of generative arti-ficial intelligence.

generative AIartificial intelligence acttraining data risksdata compliance

邢露元、沈心怡、王嘉怡

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南京大学 法学院,江苏 南京 210046

伦敦政治经济学院 法学院,英国 伦敦 WC2A 2AE

东北农业大学 文理学院,黑龙江 哈尔滨 150030

生成式人工智能 人工智能法案 训练数据风险 数据合规

2024

网络安全与数据治理
华北计算机系统工程研究所(中国电子信息产业集团有限公司第六研究所)

网络安全与数据治理

影响因子:0.348
ISSN:2097-1788
年,卷(期):2024.43(1)
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