首页|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

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

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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.
Research on Core Concepts of Regulation and Their Relationships in the Context of Artificial Intelligence:From Perspectives of Standardization and Multidiscipli-nary Integration
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 sce-nario-activity-object-feature"identified from the regulatory definitions in international standards as an analyti-cal 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 establis-hing 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.

Artificial intelligenceRegulationCore conceptsInternational standardsMultidisciplinary integration

邝苗苗、安小米、黄婕

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中国人民大学信息资源管理学院,北京,100872

数据工程与知识工程教育部重点实验室,北京,100872

中国人民大学智慧城市研究中心,北京,100872

人工智能 监管 核心概念 国际标准 多学科融合

国家社会科学基金重大项目

20&ZD161

2024

信息资源管理学报
中国高校科技期刊研究会,武汉大学

信息资源管理学报

CSSCICHSSCD
影响因子:0.885
ISSN:2095-2171
年,卷(期):2024.14(3)