Journal of Information Resources Management ›› 2024, Vol. 14 ›› Issue (3): 42-55.doi: 10.13365/j.jirm.2024.03.042

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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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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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