摘要
类ChatGPT的AI生成技术在供应链物流领域的应用为供应链物流的智能化进程注入新的动力并引发变革,同时也向既有的物流数据风险法律规制体系提出挑战。为规制其所带来的物流数据风险,从类ChatGPT生成式人工智能技术的数据收集与处理、算法运行与其生成性内容三个要素为切入点,结合国内外已有的人工智能立法实践,从规范构建、审查监督、司法救济三个层面提出相应的法律规制建议,以促进生成式人工智能物流法律体系的完善。
The application of ChatGPT-like AI generative technology in the field of supply chain logistics has injected new impetus and triggered changes in the intelligentization process of supply chain logistics,and at the same time challenged the existing legal regulation system of logistics data risk.In order to regulate the risk of logistics data brought about by it,from the three elements of data collection and processing,algorithm operation and its generative content of ChatGPT-like AI generative technology as an entry point,combined with the existing AI legislative practices at home and abroad,the corresponding legal regulation proposals are put forward from the three levels of normative construction,review and supervision,and judicial remedies,in order to promote the improvement of the generative AI logistics legal system.
作者
刘迈
LIU Mai(Yangzhou University,Yangzhou 250009,China)
出处
《物流工程与管理》
2023年第12期137-139,共3页
Logistics Engineering and Management
基金
江苏省研究生科研创新计划:新一代人工智能技术(ChatGPT)的法律风险及其宪法规制研究(KYCX23_3479)。
