文章摘要
封帅.国家安全学视域下的人工智能安全研究:议题网络建构的初步尝试[J].国际安全研究,2023,(1):26-49
国家安全学视域下的人工智能安全研究:议题网络建构的初步尝试
Research on Artificial Intelligence Security from the Perspective of National Security Studies: A Preliminary Attempt to Construct an Issue Network
  修订日期:2022-10-18
DOI:10.14093/j.cnki.cn10-1132/d.2023.01.002
中文关键词: 人工智能  国家安全学  安全属性  耦合  议题网络
英文关键词: artificial intelligence, national security studies, security attributes, coupling, issue network
基金项目:
作者单位
封帅 FENG Shuai, Associate Researcher at the Institute for International Strategic Studies, Shanghai Institutes for International Studies
Young Researcher at the Center for Russian Studies, East China Normal University, a key research base for humanities and social sciences of the Ministry of Education Shanghai, 200233. 
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中文摘要:
      国家安全学的创建为人工智能安全研究提供了整合与成长的契机。人工智能技术并非基于安全目的而诞生,却因其核心功能可以与既有安全体系内的诸多环节建立深度链接,从而获得了内在的安全属性。人工智能与国家安全学存在深度耦合关系,国家安全学研究框架能够为人工智能安全议题网络的建构提供基础条件。人工智能本身蕴含的“双重时空意义”与国家安全学框架内特点各异的安全领域形成复杂互动,能够在学科框架中建立以“中心—外围”结构为基本特征的人工智能安全研究议题网络。国家安全研究的六个领域同时兼容人工智能的双重身份:在研究视角更加宏观的政治安全、经济安全和军事安全领域,人工智能将以系统性要素的身份创建广泛的新议题,并成为网络的中心节点;在安全内涵相对具体的网络安全、核安全与国土安全领域,人工智能则成为重要的赋能主体,塑造了网络的半中心区域。其余十个国家安全领域与人工智能的链接相对松散,人工智能分别以博弈客体、功能性要素和技术性要素的身份发挥次要作用,从而构成议题网络的外围区域。议题网络的创建有助于人工智能安全研究迈入学科化的发展轨道。
英文摘要:
      The establishment of national security studies provides a great opportunity for the integration and growth of artificial intelligence security research. Artificial intelligence technology was not born for the purpose of security, but has obtained intrinsic security attributes since its core functions can establish deep links with many building blocks of the existing security system. The deep coupling relationship between artificial intelligence and national security studies enables the research framework for national security studies to provide basic conditions for the construction of a security issue network related to artificial intelligence. The “dual space-time” feature inherent in artificial intelligence echoes important priority fields within the framework of national security studies. Hence, an issue network concerning studies on artificial intelligence security can be established featuring a “center-periphery” structure within the disciplinary framework. The six security fields are well compatible with the dual identity of artificial intelligence. To be specific, in the fields of political security, economic security and military security whose research perspectives are broader, artificial intelligence will function as a systematic element, creating a wide range of new issues and becoming the central node of the whole network. In the fields of cyber security, nuclear security and homeland security where security carries relatively concrete meanings, artificial intelligence has become an important enabling agent and shaped the semi-central area of the network. Given that the links between artificial intelligence and the other ten security fields included in the holistic approach to national security are relatively loose, artificial intelligence will play a secondary role as a functional and technical element, thus constituting the peripheral area of the issue network. The establishment of the issue network will help artificial intelligence security research step into the track of sound disciplinary development and achieve systematic planning.
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