GB/T 45907-2025Artificial intelligence — Service capability maturity assessment (English PDF)

人工智能服务能力成熟度评估

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Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

June 30, 2025

Implementation date

June 30, 2025

Scope

GB/T 45907-2025 is the English-translated version of 人工智能服务能力成熟度评估.

GB/T 45907-2025 is the Chinese national standard covering grading how mature an AI service provider is — the capability framework split into basic capabilities such as storage, computing and machine learning and business capabilities such as natural language understanding and image and video analysis, the maturity levels and the scores that place a provider on them, the weight given to each capability item, the scoring calculation, and the worked weightings for smart home devices, medical diagnosis and predictive maintenance. Service availability is defined here as the share of the predefined time in which the service was actually reachable. First edition, in force from 30 June 2025. Issued on 30 June 2025, it has been in force since 30 June 2025.

Document preview — GB/T 45907-2025

National Standard of the People's Republic of China

ICS: 35.240
Classification: L 70

Issued by: State Administration for Market Regulation; Standardization Administration of the PRC

PrefaceIII
1 Scope1
2 Normative references1
3 Terms and Definitions1
4 Abbreviations1
5 Service Capability Framework2
5.1 Overview2
5.2 Basic Abilities3
5.3 Business Capabilities4
6 Maturity Levels and Assessment Scores5
6.1 Maturity Level5
6.2 Maturity Assessment Score6
7 Maturity Assessment Methods13
7.1 Competency Item Weights13
7.2 Calculation method13
7.3 Maturity Level Determination14
Appendix A (Informative) Weights of Some Scenario Capabilities15
A.1 Home Smart Device Scenario15
A.2 Smart Medical Diagnosis and Treatment Scenarios17
A.3 Predictive Maintenance Scenarios for Industrial Equipment19

Foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for standardization work Part 1: Structure and drafting rules for standardization documents". Drafting is required.

Please note that some of the contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents.

This document was proposed and coordinated by the National Technical Committee for Information Technology Standardization (SAC/TC28).

This document was drafted by: China Electronics Technology Standardization Institute, Xiaomi Communications Technology Co., Ltd., Guangzhou CESI Standards Testing Institute Co., Ltd., Inspur Cloud Information Technology Co., Ltd., Harbin Institute of Technology, Beijing Zhongshu Ruizhi Technology Co., Ltd., Shanghai SenseTime Intelligent Technology Co., Ltd., Hangzhou Hikvision Digital Technology Co., Ltd., Institute of Automation, Chinese Academy of Sciences, Institute of Software, Chinese Academy of Sciences, Inspur Software Technology Co., Ltd., Tencent Technology (Shenzhen) Co., Ltd., China Electronics Standardization Association, Inspur Electronic Information Industry Co., Ltd., Institute of Biomedical Engineering, Chinese Academy of Medical Sciences, Yuyang Information Technology (Shanghai) Co., Ltd., Weilin Information Technology Development (Shanghai) Co., Ltd., Midea Group (Shanghai) Co., Ltd., and the Fifth Electronic Research Institute of the Ministry of Industry and Information Technology.

The main drafters of this document are: Xu Yang, Ma Shanshan, Ma Chenghao, Ye Heng, Zhu Yajun, Zhou Juejia, Zhou Gang, Zheng Jiajia, Yang Muyun, Han Han, Wu Geng, Peng Jianfeng, Zhu Guibo, Meng Lingzhong, Yang Yuze, Lu Shun, Nie Jiandi, Shen Zhiyue, Sun Chuanxing, Huang Xiancui, Li Zhaochuan, Wang Gongming, Dai Wei, Chen Qingshuai, Zhao Mengfang, Huang Shenghua, Di Heliang, Pu Jiangbo, Zhu Zhaoying, Weng Jialiang, Cai Yasen, and Huang Linyi.

Artificial Intelligence Service Capability Maturity Assessment

1 Scope

This document proposes an AI service capability framework, specifies maturity levels and assessment scores, and describes the assessment methodology.

This document is applicable to the maturity assessment of the AI service capabilities provided by service providers, as well as the capability domains, Individual assessment of competency items.

2 Normative references

GB/T 41867

3 Terms and Definitions

The terms and definitions defined in GB/T 41867 and the following apply to this document.

3.1 capabilitysub-item

Several characteristic indicators that constitute maturity in the capability subdomain.

3.2

The weight factor of the corresponding capability sub-item in the evaluation of the capability sub-domain.

3.3 service availability

The ratio of the service access time to the total service time after the service customer initiates a service request.

Note. Availability is calculated as the ratio of the sum of the service available time to the sum of the predefined time periods in a series of predefined time periods. Service unavailable time.

3.4

Artificial intelligence services can provide basic capabilities such as storage, computing, data structured processing and decision-making, machine learning, and intelligent voice, automatic It has business capabilities such as natural language understanding, intelligent dialogue, and intelligent image and video analysis.

4 Abbreviations

The following abbreviations apply to this document.

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 24 pages — is available in the English PDF.

Referenced standards

Normative references

GB/T 41867Information technology—Artificial intelligence—Terminology

Editions of GB/T 45907

Edition	Title	Revision	Status
GB/T 45907-2025	Artificial intelligence - Service capability maturity assessment	current edition	Current

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