汽车文摘

国际视角下车用人工智能安全标准体系对比研究

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华一丁 ¹ , 王潼 ² , 伍晶晶 ³

汽车文摘 | 2026中国汽车工程学会年会优秀论文（选登） 2026,(10): 54-62

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汽车文摘 |2026中国汽车工程学会年会优秀论文（选登） 2026 , (10) : 54 -62

国际视角下车用人工智能安全标准体系对比研究

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华一丁¹, 王潼², 伍晶晶³

作者信息

^1.中国汽车技术研究中心有限公司，天津　300300

^2.小米汽车科技有限公司，北京　100176

^3.广州小鹏汽车科技有限公司，广州　510653

A Comparative Study on the Standard System for Automotive Artificial Intelligence Safety from an International Perspective

Yiding Hua¹, Tong Wang², Jingjing Wu³

Affiliations

^1.China Automotive Technology and Research Center Co., Ltd., Tianjin 300300

^2.Xiaomi Auto Technology Co., Ltd, Beijing 100176

^3.Guangzhou Xiaopeng Automotive Technology Co., Ltd., Guangzhou 510653

出版时间: 2026-10-05 doi: 10.19822/j.cnki.1671-6329.20260158

文章导航

摘要

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为了健全我国车用人工智能安全标准体系、改善产业合规适配性不足的问题，以ISO/PAS 8800车用人工智能安全框架为基准，系统梳理国际通用人工智能与车用人工智能现行及在研标准，对比我国采标、自研标准现状与差距，同时分析全球通用人工智能及车用人工智能政策法规演进过程。研究表明，当前国内车用人工智能安全相关标准，在体系完整度、前沿领域布局以及法规协同衔接层面，仍存在进一步优化完善的空间。在此基础上，结合车用人工智能标准化促进中心标准顶层规划与SAFER AI计划，提出以风险分级、全生命周期管控、车规适配、国际接轨、法规协同为核心的车用人工智能安全标准体系构建思路，为我国车用人工智能安全标准体系建设、产业合规落地及国际标准协调提供理论参考与实施路径。

关键词

车用人工智能 / 人工智能安全 / 标准体系 / 政策研究

Abstract

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To improve the safety standard system for automotive artificial intelligence in China and address the issue of insufficient compliance adaptability in the industry, the paper systematically reviews the released and under-development international standards for automotive artificial intelligence based on the automotive artificial intelligence safety framework of ISO/PAS 8800, and compares the adoption and independent development of relevant standards in China, as well as existing gaps. It also summarizes the evolution of global policies and regulations governing automotive artificial intelligence. China's existing standards for automotive artificial intelligence safety remain to be further improved in system construction, forward-looking deployment and connection with relevant laws and regulations. Combined with the top-level plans of automotive aritificial intelligence standardization advancement center and the SAFER AI initiative, the paper proposes a construction pathway for China's automotive artificial intelligence safety standard system, centered on risk classification, full-lifecycle management, vehicle-grade adaptation, international alignment, and regulatory coordination. This study provides theoretical references and practical guidance for the improvement of China's automotive artificial intelligence safety standard system, industrial compliance and international standard coordination.

Key words

Automotive artificial intelligence / Artificial intelligence safety / Standard system / Policy research

引用本文

华一丁, 王潼, 伍晶晶. 国际视角下车用人工智能安全标准体系对比研究. 汽车文摘, 2026 , (10) : 54 -62 . DOI: 10.19822/j.cnki.1671-6329.20260158

Yiding Hua, Tong Wang, Jingjing Wu. A Comparative Study on the Standard System for Automotive Artificial Intelligence Safety from an International Perspective[J]. Automotive Digest, 2026 , (10) : 54 -62 . DOI: 10.19822/j.cnki.1671-6329.20260158

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doi: 10.19822/j.cnki.1671-6329.20260158

首发时间：2026-10-15
出版时间：2026-10-05

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^1.中国汽车技术研究中心有限公司，天津　300300

^2.小米汽车科技有限公司，北京　100176

^3.广州小鹏汽车科技有限公司，广州　510653

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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