首页|期刊导航|标准化学报|新兴技术国际标准缺口分析方法研究:以ITU-T FG-AINN AI原生电信网络为例

新兴技术国际标准缺口分析方法研究:以ITU-T FG-AINN AI原生电信网络为例OA

Research on Gap Analysis Methods of International Standards in Emerging Technologies:Taking the ITU-T FG-AINN AI-native Telecommunication Network as an Example

中文摘要英文摘要

[目的]针对新兴技术国际标准缺口分析中存在方法单一且滞后、语义特征理解不足及流程不规范等问题,提出一套通用的国际标准缺口分析方法和流程,为新兴技术领域国际标准缺口识别提供方法支撑和实施路径.[方法]在批判性分析既有国际标准缺口分析方法和流程的基础上,整合语义特征分析法并补充用例分析法,提出一套改进的新兴技术国际标准缺口识别方法及流程,并以ITU-T人工智能原生网络焦点组(FG-AINN)中的AI原生电信网络为例,验证所提方法和流程的有效性.[结果]有效验证了所提的新兴技术国际标准缺口分析方法和流程,识别了AI原生电信网络领域既有国际标准在术语界定、网络管理、服务管理、AI模型和智能体管理及可信AI与安全治理方面存在的标准缺口.[结论]改进了既有国际标准缺口分析方法并规范了缺口分析流程,提升了标准缺口识别的精准性与前瞻性.同时,为AI原生电信网络这一新兴技术领域的未来国际标准制定提供了方向指引.

[Objective]To address the problems of single and lagging methods,insufficient understanding of semantic characteristics,and non-standardized processes in the gap analysis of international standards for emerging technologies,this paper proposes a generic gap analysis method and process for international standards,providing methodological support and implementation paths for identifying international standard gaps in the field of emerging technologies.[Methods]Based on a critical analysis of existing international standard gap analysis methods and processes,this paper proposes a set of improved methods and processes for identifying gaps in international standards for emerging technologies by integrating semantic characteristic analysis and supplementing use case analysis.The effectiveness of the proposed methods and processes is verified using the AI-native communication networks in the ITU-T Focus Group on AI-native Networks(FG-AINN)as a case study.[Results]This paper effectively validates the proposed methods and processes for analyzing gaps in international standards for emerging technologies,and identifies the standard gaps in the field of AI-native telecommunication networks in terms of terminology definition,network management,service management,AI model and agent management,as well as trustworthy AI and security governance.[Conclusion]This paper improves the existing international standard gap analysis method and standardizes the gap analysis process,improving the accuracy and foresight of standard gap identification.It also provides directional guidance for future international standardization efforts in the emerging field of AI-native telecommunication networks.

尹静;温福铨;安小米

中国人民大学 信息资源管理学院中国人民大学 信息资源管理学院中国人民大学 信息资源管理学院||中国人民大学 数据工程与知识工程教育部实验室||中国人民大学智慧城市研究中心

标准缺口识别AI原生电信网络语义特征分析用例分析

standard gap analysisAI-native telecommunication networksemantic feature analysisuse case analysis

《标准化学报》 2026 (9)

23-36,14

本文受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"(项目编号:20&ZD161)资助.

10.3969/j.issn.2097-857X.2026.09.002

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