生成式人工智能国内外标准化发展状况、面临挑战及对策研究

摘要：

【目的】通过开展生成式人工智能标准化发展状况、挑战及对策研究，为推动生成式人工智能的规范化和高质量发展提供参考。【方法】通过文献查阅法，研究分析国际标准化组织、欧盟、美国、日本及我国在生成式人工智能标准化领域的发展重点，并通过逻辑框架法，探索构建生成式人工智能标准体系框架。【结果】研究发现，生成式人工智能标准化工作尚在起步阶段，仍存在很多风险与挑战，相关技术及应用服务标准研制数量存在明显不足。【结论】应加强和完善人工智能标准化标准体系建设，加快标准的制定和实施，凝聚各方力量和推动国际合作，以期全面提升生成式人工智能标准化水平，促进其健康有序发展。

Abstract:

[Objective] This study aims to provide reference for promoting the standardized and high-quality development of generative artificial intelligence by investigating the development status, challenges, and countermeasures regarding the standardization of generative artificial intelligence. [Methods] Using the literature review method, this study analyzes the development priorities in the field of generative artificial intelligence standardization of international standardization organizations, the European Union, the United States, Japan, and China. Additionally, the logical framework method is adopted to explore and construct a standards system framework for generative artificial intelligence. [Results] The study finds that the standardization work of generative artificial intelligence is still in its initial stage, with many risks and challenges remaining, and there is a significant shortage in the number of developed standards related to technologies, application services. [Conclusion] Efforts should be made to strengthen the construction of the artificial intelligence standardization system, accelerate the development and implementation of standards, gather forces from all parties, and promote international cooperation. These measures are intended to comprehensively enhance the standardization level of generative artificial intelligence and facilitate its healthy and orderly development.

引用格式：郑鹰,张欣亮,张雪飞.生成式人工智能国内外标准化发展状况、面临挑战及对策研究[J].标准科学,2025(12):35-40.

基金项目：本文受中央基本科研业务费重点项目“基于隐私计算的公共数据流通研究与应用”（项目编号：242024Y-11461）；山西省重点研发计划项目“面向基层治理的政务大数据服务的关键技术研究和应用示范”（项目编号：202302020101010）；中国标准化研究院基本科研项目“数字政府标准化发展指数研究”（项目编号：242024Z-11946）资助。 

作者简介：郑鹰，本科，高级工程师，研究方向为数字政府与公共服务标准化。张欣亮，硕士，助理研究员，研究方向为数字政府及平台经济标准化。张雪飞，博士，工程师，研究方向为数字政府与大数据标准化。