Journal of Information Resources Management ›› 2024, Vol. 14 ›› Issue (3): 69-79.doi: 10.13365/j.jirm.2024.03.069

Previous Articles     Next Articles

Research on Core Concepts of Regulation and Their Relationships in the Context of Artificial Intelligence: From Perspectives of Standardization and Multidisciplinary Integration

Kuang Miaomiao1 An Xiaomi1,2,3 Huang Jie1,3   

  1. 1.School of Information Resource Management, Renmin University of China, Beijing, 100872
    2.Key Laboratory of Data Engineering and Knowledge Engineering, Beijing,100872
    3.Smart City Research Center, Renmin University of China, Beijing,100872
  • Online:2024-05-26 Published:2024-06-14
  • About author:Kuang Miaomiao, Ph.D. candidate, research interests include government information resource management, big data governance; An Xiaomi(corresponding author), professor, Ph.D., doctoral supervisor, Email: anxiaomi@ruc.edu.cn, research interests include government information resource management, big data governance, and standardized collaborative governance; Huang Jie, Ph.D. candidate, research interests include data use in smart city and the standardization governance.
  • 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).

Abstract: In order to understand the concept of regulation in the context of artificial intelligence, this study investigates and analyzes the regulatory definitions in the standard documents published by the three major international standardization organizations, ISO, IEC, and ITU, and deconstructs and reconstructs core concepts and the relationships in these definitions. Using the concept system “entity-tool-management scenario-activity-object-feature” identified from the regulatory definitions in international standards as an analytical framework, this study analyzes the representative literature related to regulation in the context of artificial intelligence using content analysis. From a multidisciplinary perspective, this study proposes the core concepts of regulation and their relationships in the context of artificial intelligence. This study provides reference for establishing a consensus on the regulatory concepts in the context of artificial intelligence and the standardized collaborative implementation path for general regulatory concepts in the context of artificial intelligence.

Key words: Artificial intelligence, Regulation, Core concepts, International standards;Multidisciplinary integration

CLC Number: