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钱燕娜,储召锋.人工智能的法律挑战及其应对[J].南京邮电大学学报(社会科学版),2023,(06):21~29
人工智能的法律挑战及其应对
The legal challenge of artificial intelligence and its legislative response strategy
  
DOI:
中文关键词:  人工智能  立法  信息保护
英文关键词:artificial intelligence  legislation  information protection
基金项目:国家社科基金项目“智能化背景下军队院校意识形态建设研究”(21VSZ148)
作者单位
钱燕娜 国防大学政治学院 马克思主义理论系上海 201602 
储召锋 国防大学国际关系学院 国际关系与战略系江苏 南京 210000 
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中文摘要:
      人工智能技术给人类生活带来诸多便利的同时,也蕴含巨大风险。从实践层面观察,人工智能技术的研发、应用以及发展给法律带来了巨大挑战,具体反映在个人信息保护、算法规制、人工智能作品的知识产权保护、人工智能监管及其引发的责任分配等方面;从理论推演分析,由人工智能引发的法律问题包括法律原则、主体制度、权利制度以及责任制度四方面。为应对人工智能产生的法律问题,各国纷纷加快了立法、修法进程,并在算法自动化决策、自动驾驶汽车、生物识别信息技术、深度伪造技术及数据安全与隐私保护等领域取得了积极成果。尽管如此,在迅猛发展的人工智能技术及其应用面前,相关立法仍然存在滞后性,需要从理念、原则与措施三个层面积极寻求应对方略。
英文摘要:
      The emergence of artificial intelligence technology brings many conveniences to human life, but also contains great risks. From a practical point of view, the research and development, application and development of artificial intelligence technology have brought great challenges to the law, which are specifically reflected in the protection of personal information, the regulation of arithmetic regulations, the protection of intellectual property rights of artificial intelligence works, and the supervision of artificial intelligence and the allocation of responsibilities caused by it. From the theoretical deduction analysis, the legal problems caused by artificial intelligence at the practical level can be summarized into four aspects: legal principles, subject system, rights system and responsibility system. In response to the legal problems caused by artificial intelligence, countries have accelerated the process of legislation and law amendment, and achieved positive results in the fields of algorithmic automated decision making, autonomous vehicles, biometric information technology, deepfake technology, and data security and privacy protection. Nevertheless, in the face of the rapid development of artificial intelligence technology and its application, relevant legislation still lags behind, and it is necessary to actively seek countermeasures from the three levels of concepts, principles and measures.
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