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GB/T 46802-2025: Artificial intelligence social experiment - Implementation guidelines
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Artificial intelligence social experiment - Implementation guidelines
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Standard similar to GB/T 46802-2025 GB/T 45181 | GB/T 41239 | GB/T 40212 | GB/T 46800 | GB/T 46799 | Basic data | Standard ID | GB/T 46802-2025 (GB/T46802-2025) | | Description (Translated English) | Artificial intelligence social experiment - Implementation guidelines | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | L67 | | Classification of International Standard | 35.240.01 | | Word Count Estimation | 14,117 | | Date of Issue | 2025-12-02 | | Date of Implementation | 2025-12-02 | | Issuing agency(ies) | State Administration for Market Regulation, Standardization Administration of China | GB/T 46802-2025: Artificial intelligence social experiment - Implementation guidelines---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
ICS 35.240.01
CCSL67
National Standards of the People's Republic of China
Guidelines for Implementing Social Experiments in Artificial Intelligence
Published on 2025-12-02
Implemented on December 2, 2025
State Administration for Market Regulation
The State Administration for Standardization issued a statement.
Table of contents
Preface III
Introduction IV
1.Scope 1
2 Normative References 1
3.Terms and Definitions 1
4.General Principles 2
4.1 Guided by the goal of improving well-being 2
4.2 Safeguarding Basic Individual Rights 2
4.3 Ensure traceability, prudence, and inclusiveness.
4.4 Follow the experimental phase 2
5.Organizational Applications 3
5.1 Define the technology type 3
5.2 Define the experimental scenario 3
5.3 Clarify the Participating Entities 3
5.4 Define the experimental design 3
5.5 Preventing Ethical Risks 3
6 Scientific Measurement 4
6.1 Selection of Measurement Elements 4
6.2 Define the observed variables 4
6.3 Scientific Sampling and Grouping 4
6.4 Data Acquisition and Aggregation 5
7 Overall Feedback 5
7.1 Conclusion Extraction 5
7.2 Comprehensive Integration 5
7.3 Experimental Evaluation 5
7.4 Results Feedback 5
Appendix A (Informative) Experimental Phase Division 6
Appendix B (Informative) Experiment Implementation Reference 7
B.1 Organizational Application 7
B.2 Scientific Measurement 7
B.3 Overall Feedback 7
References 8
Foreword
This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part 1.Structure and Drafting Rules of Standardization Documents".
Drafting.
GB/T 46801 "Guidelines for the Design of Social Experiments in Artificial Intelligence" and GB/T 46802 "Guidelines for the Implementation of Social Experiments in Artificial Intelligence" and
GB/T 46799, "Evaluation Guidelines for Social Experiments in Artificial Intelligence," together constitute the national standard system supporting the conduct of social experiments in artificial intelligence.
Please note that some content in this document may involve patents. The issuing organization of this document assumes no responsibility for identifying patents.
This document was proposed and is under the jurisdiction of the National Working Group on Basic Standardization of Social Application and Evaluation of Intelligent Technologies (SAC/SWG35).
This document was drafted by. Runze Intelligent Computing Technology Group Co., Ltd., Tsinghua University, China National Institute of Standardization, and China Mobile Information Systems Group.
Chengdu Co., Ltd., Office of the Cyberspace Administration of the CPC Ordos Municipal Committee, and Office of the Cyberspace Administration of the CPC Chengdu Municipal Committee
Committee Office, Hefei Qinghe Intelligent Technology Co., Ltd., Renmin University of China, University of Chinese Academy of Sciences, Zhejiang University, Peking University Third
Hospital, Shenzhen Julong Smart City Research Institute, Shandong University, People's Court Information Technology Service Center, Anhui Zhongke Guojin Intelligent Technology Co., Ltd.
The company, Hefei Public Security Bureau, Beijing Yinhu Intelligent Power Technology Co., Ltd., Zaozhuang Cybersecurity Protection Center, and Anhui Anze Think Tank Consulting Co., Ltd.
company.
The main drafters of this document are. Zhou Chaonan, Ru Peng, Su Jun, Zhao Wenhui, Zhao Yandong, Huang Xiaoru, Xu Jingting, Shang Erping, Huang Cui, Wang Yun, and Fu Wei.
Li Li, Zhang Xian, Zhu Jing, Shen Cheng, Feng Zhangwei, Zhong Jun, Wang Yongjie, Chen Zhigang, Chen Junhua, Jiang Xue, Wei Yuming, Lü Liyuan, Sun Hao, Jin Lu, Kang Zheyu
Lü Lingguang, Yang Zhi, Wang Xiaoyan, Chang Qiguang, Huang Keman, Gong Min, Zhang Yunliang, Yang Yang, Liu Yue, Guo Teng, Chen Dan, Luo Siqi, Shen Yutian.
Introduction
Human society is moving towards an intelligent society supported by artificial intelligence as a key technology. Summarizing and forming experiences and norms for the development and governance of an intelligent society is crucial.
Laws and theories, proactively exploring standards and norms for the development and governance of an intelligent society, and improving the systems and mechanisms adapted to the development and governance of an intelligent society will have
It effectively supports the modernization of the national governance system and governance capabilities.
Artificial intelligence social experiments are a key method for exploring the development and governance paths of intelligent societies, and also a standardization approach for the development and governance of intelligent societies.
One of the fundamental methods. Through conducting long-term, wide-area, multidisciplinary artificial intelligence social experiments, it systematically identifies, defines, observes, and evaluates...
This paper analyzes the impact of specific intelligent technologies on social application scenarios, examines potential governance challenges, summarizes countermeasures, and formulates solutions and norms.
It is of great significance to reasonably regulate the social risks of technology application and promote the healthy development of technology.
my country has established a national standards system to support social experiments in artificial intelligence. Within this system, GB/T 46802 "Artificial Intelligence..." is a standard that...
The purpose of the "Guidelines for Implementing Social Experiments in Artificial Intelligence" is to provide the basic principles, procedural stages, and details of each stage of implementing social experiments in artificial intelligence.
This document provides operational and management methods to serve as a reference and guide for relevant technical, application, and research entities engaged in social experiments related to artificial intelligence.
The development of social experiments related to artificial intelligence will improve the scientific rigor and standardization of the experiments.
Guidelines for Implementing Social Experiments in Artificial Intelligence
1 Scope
This document establishes the basic principles and phased procedures for organizing and implementing social experiments in artificial intelligence, and provides guidelines for organizational application and scientific measurement.
Guidance and suggestions on operational and management methods in the three stages of quantity, comprehensive feedback, etc.
This document is intended to guide relevant parties, including those involved in the social experimentation and application of artificial intelligence, research, and technology, in implementing artificial intelligence.
Social experiments also provide practical references for relevant entities to conduct social impact assessments of the application of intelligent technologies.
2 Normative references
The contents of the following documents, through normative references within the text, constitute essential provisions of this document. Dated citations are not included.
For references to documents, only the version corresponding to that date applies to this document; for undated references, the latest version (including all amendments) applies.
This document.
GB/T 46799 Guidelines for the Evaluation of Social Experiments in Artificial Intelligence
GB/T 46801 Guidelines for the Design of Social Experiments in Artificial Intelligence
3 Terms and Definitions
The following terms and definitions apply to this document.
3.1
Introducing specific artificial intelligence technologies into social activities creates AI application scenarios. Through experimental design, the general meanings within these scenarios are explored.
Sexual influence is transformed into a measurable variable with clear connotations and precise concepts, and scientific methods are used to track and analyze it at the micro-individual and meso-group levels.
This study examines the development and changes in the social system, including its structure and macro-level mechanisms, to comprehensively assess the actual impact and potential risks of artificial intelligence applications, and then proposes countermeasures and recommendations.
process.
Note 1.Artificial intelligence social experiments mainly employ four types of methods. natural experiments, field experiments, survey experiments, and computational experiments.
Note 2.Social experiments with artificial intelligence typically include three experimental phases. organizational application, scientific measurement, and comprehensive feedback.
[Source. GB/T 46801-2025, 3.1]
3.2
experimental scenario
The specific background and environment in which social experiments on artificial intelligence were conducted.
Note. The experimental scenario includes the location, conditions, and relevant contextual factors of the experiment, covering the physical space, equipment, and material configuration of the experiment, as well as the factors related to the experiment.
Other elements related to the purpose and research question.
3.3
experimental subject
In artificial intelligence social experiments, individuals, organizations, groups, or phenomena are selected by researchers or research teams for observation, investigation, or experimentation.
3.4
The characteristics, attributes, or quantitative indicators that are observed, measured, or recorded in social experiments involving artificial intelligence.
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