信息资源管理学报 ›› 2024, Vol. 14 ›› Issue (3): 42-55.doi: 10.13365/j.jirm.2024.03.042

• 专题·国际标准视角下的人工智能数据治理前沿概念研究 • 上一篇    下一篇

人工智能场景下的“透明”概念研究：基于国际标准术语定义的内容分析

安小米1,2,3　徐明月4   

  1. 1.中国人民大学信息资源管理学院，北京，100872
    2.中国人民大学数据工程与知识工程教育部实验室，北京，100872
    3.中国人民大学智慧城市研究中心，北京，100872
    4.北京电子科技学院图书馆（档案馆），北京，100070
  • 出版日期:2024-05-26 发布日期:2024-06-14
  • 作者简介:安小米，教授，博士，研究方向为政府信息资源管理、大数据治理、标准化协同治理；徐明月（通讯作者），硕士，助理馆员，研究方向为大数据治理、电子文件管理，Email：1979460957@qq.com。
  • 基金资助:
    本文系国家社科基金重大项目“我国政府数据治理与利用能力研究”（20&ZD161）的成果之一。

The Concepts of "Transparency" in AI Scenarios:A Content Analysis of Definitions from International Standards Organizations

An Xiaomi1,2,3　Xu Mingyue4   

  1. 1. School of Information Resource Management, Renmin University of China, Beijing, 100872
    2. Key Laboratory of Data Engineering and Knowledge Engineering, Renmin University of China, Beijing, 100872
    3. Smart City Research Center, Renmin University of China, Beijing, 100872
    4. Library (Archives), Beijing Electronic Science and Technology Institute, Beijing, 100070
  • Online:2024-05-26 Published:2024-06-14
  • About author:An Xiaomi, professor, Ph.D., doctoral supervisor, Email: anxiaomi@ruc.edu.cn, research interests include government information resource management, big data governance, and standardized collaborative governance; Xu Mingyue(corresponding author)，master，library assistant, research interests include government big data governance and electronic document management. Email:1979460957@qq.com.
  • Supported by:
    This work is supported by the Major Program of the National Social Science Foundation of China “Studies about Data Governance and Data Use Capability in Chinese Government”(20&ZD161).

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摘要： 为厘清人工智能场景下“透明”概念的内涵与外延，构建人工智能领域对“透明”概念的共识，本文对ISO、IEC和ITU-T三大国际标准化组织发布的标准文件中11个关于透明的定义进行了分析解构，识别出了定义中的核心概念、对象、特征及领域。结合人工智能的相关国际标准，识别出了人工智能场景下“透明”定义中的核心概念及其关系，构建了基于国际标准的人工智能场景下的“透明”概念体系，并从对象、利益相关者、特征三个维度提出了对人工智能信息治理的启示。本文从透明视角提出的对人工智能场景下信息治理和信息技术治理标准化协同的新思路，具有一定理论价值和现实意义。

关键词: 人工智能, 透明, 核心概念, 信息治理, 技术治理, 标准化协同

Abstract: This paper aims to clarify the intension and extension of the concepts of “transparency” in the AI scenario and build consensus on the concept within the AI field. It analyzes 11 definitions of transparency from international standards organizations including ISO, IEC and ITU-T, identifying core concepts and their relationships. In combination with analysis of relevant international standards of AI, a concept system model of transparency in AI scenarios is proposed. Through the analysis of definitions in different SDOs, this paper proposes implications to artificial intelligence information governance from three aspects in terms of objects, stakeholders and characteristics. This paper offers new insights into standardization collaboration on information governance and information technology governance for AI from a transparent perspective, which has both theoretical value and practical value.

Key words: AI, Transparency, Core concepts, Information governance, Technology governance, Standardization collaboration

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