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生成式人工智能的法律风险与规制进路 ——以ChatGPT为例

Legal Risks and Regulatory Approaches to Generative AI —Take ChatGPT as an Example

刑事司法科学与治理 / 2024,5(2)：19-26 / 2024-08-29 111 51

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• 作者： 冯旭东      刘德塘     
• 单位：

  中南财经政法大学侦查学系，武汉

• 关键词： ChatGPT；生成式人工智能；数据风险；法律规范
• ChatGPT; Generative AI; Data risk; Legal norms
• 摘要： 生成式人工智能以其特有的竞争力不断地发展，其内容影响力逐渐渗透到人们的日常生活中。然而，在发展的同时也引发了一系列关于人工智能法律风险规制的讨论。本文通过对ChatGPT进行分析研究，发现目前存在着诸多问题，如数据风险、算法模型训练风险和生成内容风险等。为了有效应对生成式人工智能所存在的风险，本文提出应从数据库建立、算法规制、数据合规构建、科技伦理治理和法律法规完善等角度出发，探寻一条有利于生成式人工智能发展的健康之路。
• Generative AI is constantly developing with its unique competitiveness, and its content influence is gradually penetrating into people's daily life, but at the same time, it has also caused a series of discussions on the regulation of artificial intelligence legal risks. This paper analyzes and researches ChatGPT and finds many existing problems, such as data risk, algorithm model training risk, and content generation risk. In order to better deal with the risks of generative AI, it is necessary to find a healthy path conducive to the development of generative AI from the perspectives of database establishment, computing legal system, data compliance construction, scientific and technological ethics governance, and improvement of laws and regulations.
• DOI： https://doi.org/10.35534/cjsg.0502003
• 引用： 冯旭东，刘德塘．生成式人工智能的法律风险与规制进路——以ChatGPT 为例［J］．刑事司法科学与治理，2024，5（2）：19-26．