信息资源管理学报 ›› 2024, Vol. 14 ›› Issue (3): 69-79.doi: 10.13365/j.jirm.2024.03.069

• 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

人工智能场景下的监管核心概念及关系研究 ——基于标准化和多学科融合视角

邝苗苗1 安小米1,2,3 黄婕1,3   

  1. 1.中国人民大学信息资源管理学院,北京,100872
    2.数据工程与知识工程教育部重点实验室,北京,100872
    3.中国人民大学智慧城市研究中心,北京,100872
  • 出版日期:2024-05-26 发布日期:2024-06-14
  • 作者简介:邝苗苗,博士生,研究方向为政府信息资源管理、大数据治理;安小米(通讯作者),教授,博士,博导,Email: anxiaomi@ruc.edu.cn,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;黄婕,博士生,研究方向为智慧城市数据利用与标准化治理。
  • 基金资助:
    本文系国家社会科学基金重大项目“我国政府数据治理与利用能力研究”(20&ZD161)的研究成果之一。

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).

摘要: 针对如何理解人工智能场景下的监管概念这一问题,对ISO、IEC和ITU三大国际标准组织发布的标准文件中的监管定义进行调查分析,并对定义中的核心概念及其关系进行解构和重构。以基于国际标准中监管定义识别出的“实体-工具-管理场景-活动-对象-特征”概念体系作为分析框架,使用内容分析法对人工智能场景下与监管相关的代表性文献进行分析,从多学科融合视角提出人工智能场景下的监管核心概念及其关系。本研究对构建人工智能场景下的监管概念共识以及通用监管概念体系及标准化协同实现路径具有参考意义。

关键词: 人工智能, 监管, 核心概念, 国际标准, 多学科融合

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

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