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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

参考文献

收起

文献

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参考文献引证文献

排序方式：

[1]

LIU J J, LIU J H. Intelligent and Connected Vehicles: Current Situation, Future Directions, and Challenges[J]. IEEE Communications Standards Magazine, 2018, 2(3): 59-65.

[2]

CUI M, HUANG H, XU Q, et al. Survey of Intelligent and Connected Vehicle Technologies: Architectures, Functions and Applications[J]. Journal of Tsinghua University (Science and Technology), 2022, 62(3): 493-508.

[3]

全国汽车标准化技术委员会. 智能网联汽车　术语和定义: GB/T 44373—2024[S]. 北京: 中国标准出版社, 2024.

[4]

孙航, 张路, 季国田. 智能网联汽车标准体系及重点标准研究与展望[J]. 汽车安全与节能学报, 2024, 15(e6): 795-812.

[5]

ISO, SAE. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-road Motor Vehicles: ISO/SAE PAS 22736: 2021[S/OL]. (2021-08-01) [2026-04-26]. https://www.iso.org/standard/73766.html.

[6]

ISO/IEC. Information Technology—Artificial Intelligence— Artificial Intelligence Concepts and Terminology: ISO/IEC 22989: 2022[S/OL]. 2022[2026-04-26]. https://www.iso.org/standard/74296.html.

[7]

GRIGORESCU S, TRASNEA B, COCIAS T, et al. A Survey of Deep Learning Techniques for Autonomous Driving[J]. Journal of Field Robotics, 2020, 37(3): 362-386.

[8]

WÄSCHLE M, THALER F, BERRES A, et al. A Review on AI Safety in Highly Automated Driving[J]. Frontiers in Artificial Intelligence, 2022(5): 952773.

[9]

ULLRICH L, BUCHHOLZ M, DIETMAYER K, et al. AI Safety Assurance for Automated Vehicles: A Survey on Research, Standardization, Regulation[J]. IEEE Transactions on Intelligent Vehicles, 2025, 10(10): 4784-4803.

[10]

PEREZCERROLAZA J, ABELLA J, BORG M, et al. Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey[J]. ACM Computing Surveys, 2024, 56(7): 1-40.

[11]

NETO A V S, CAMARGO J B, ALMEIDA J R, et al. Safety Assurance of Artificial Intelligence-Based Systems: A Systematic Literature Review on the State of the Art and Guidelines for Future Work[J]. IEEE Access, 2022(10): 130733-130770.

[12]

IELKE T. Is Artificial Intelligence Ready for Standardization?[C]//Systems, Software and Services Process Improvement. Cham: Springer International Publishing, 2020(1251): 274-295.

[13]

孙宇, 王红杰, 杜彦辉. 人工智能安全标准化综述[J/OL]. 指挥与控制学报. (2025-09-03) [2026-09-08]. http://doi.org/10.20278/j.jc2.2096-0204.2025.0066.

[14]

ISO. Road Vehicles — Safety and Artificial Intelligence: ISO/PAS 8800: 2024[S/OL]. (2024-12-01) [2026-04-23]. https://www.iso.org/standard/83303.html.

[15]

GARIKAPATI D, POOVALINGAM S, HAU W, et al. A Comprehensive Review of Parallel Autonomy Systems Within Vehicles: Applications, Architectures, Safety Considerations, and Standards[J]. IEEE Access, 2024, 12(7): 150395-150418.

[16]

EUROPEAN PARLIAMENT, COUNCIL OF THE EUROPEAN UNION. Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act)[S/OL]. (2024-07-12) [2026-04-26]. https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng.

[17]

王天禅. 美欧人工智能治理的分化——基于治理结构、能力势差和战略选择的考察[J]. 国际关系研究, 2025(2): 107-135+158-159.

[18]

薛澜, 赵静. 人工智能国际治理: 基于技术特性与议题属性的分析[J]. 国际经济评论, 2024, (3): 52-69.

[19]

陈少威, 杨涛, 贾开. 比较政策研究视野下全球人工智能治理模式的差异、共识与改革启示[J]. 中国行政管理, 2024, 40(12): 15-24.

[20]

韩剑, 朱海, 许亚云. 标准国际化与出口产品质量——来自中国企业的证据[J]. 管理世界, 2024, 40(12): 1-19.

[21]

王艳艳, 王孝松, 胡玫. 国际标准采用与企业国际市场拓展——理论与来自中国上市公司的经验证据[J]. 管理世界, 2025, 41(10): 1-20+108+121-122.

[22]

曹春方, 龚曼宁. 标准定则市场兴——技术标准对专利交易的促进作用研究[J]. 管理世界, 2025, 41(1): 51-67+113.

[23]

刘娜, 施颖, 胡心如, 等. 消费者权益保障视角下的人工智能治理标准化路径研究[J]. 标准科学, 2025(11): 16-26.

[24]

ISO/IEC JTC 1/SC 42. Standards by ISO/IEC JTC 1/SC 42 (Artificial Intelligence)[EB/OL]. [2026-04-26]. https://www.iso.org/committee/6794475/x/catalogue/p/0/u/1/w/0/d/0.

[25]

ISO, IEC. Information Technology—Artificial Intelligence —Management System: ISO/IEC 42001: 2023[S/OL]. (2023-12-18) [2026-04-22]. https://www.iso.org/standard/42001.

[26]

ISO, IEC. Artificial intelligence—Data Quality for Analytics and Machine Learning: ISO/IEC 5259: 2024[S/OL]. (2024-07-11) [2026-04-22]. https://www.iso.org/standard/81088.html.

[27]

ISO, IEC. Artificial Intelligence—Functional Safety and AI Systems: ISO/IEC CD TS 22440[S/OL]. (2026-04-11) [2026-04-26]. https://www.iso.org/standard/89535.html.

[28]

国家市场监督管理总局. 中国已发布30项人工智能国家标准[EB/OL]. (2025-09-18) [2026-04-26]. https://www.samr.gov.cn/xw/mtjj/art/2025/art_566b351b8ae34a2bab826d09edd4039f.html.

[29]

许晓耕, 高超, 郝春亮. 人工智能安全标准化最新进展[J]. 信息技术与标准化, 2025(4): 69-75.

[30]

ISO. Road Vehicles—Functional Safety: ISO 26262: 2018[S/OL]. (2018-12-01) [2026-04-24]. https://www.iso.org/standard/68383.html.

[31]

ISO. Road Vehicles—Safety of the Intended Functionality: ISO 21448: 2022[S/OL]. 2022[2026-04-26]. https://www.iso.org/standard/77490.html.

[32]

ISO, SAE. Road Vehicles—Cybersecurity Engineering: ISO/SAE 21434: 2021[S/OL]. (2021-08-31) [2026-04-26]. https://www.iso.org/standard/70918.html.

[33]

中国汽车标准化研究院. ISO/TC22/SC32/WG14　道路车辆人工智能安全国际标准工作组会议在南京顺利召开[EB/OL]. (2025-02-21) [2026-04-26]. https://www.catarc.org.cn/xwdt/gzdt/647128193749061.html.

[34]

中国汽车标准化研究院. 车用人工智能标准化促进中心正式成立[EB/OL]. (2025-07-15) [2026-04-26]. https://www.catarc.ac.cn/detail/7df419d4207e43b580d2a467403fd34b.

[35]

工业和信息化部, 国家标准化管理委员会. 2025年汽车标准化工作要点[EB/OL]. (2025-04-29) [2026-04-21]. http://www.gov.cn/lianbo/bumen/202504/content_7021759.htm.

[36]

全国汽车标准化技术委员会. 道路车辆　自动驾驶系统测试场景　基于场景的安全评估框架: GB/T 46958—2025[S/OL]. (2025-12-31) [2026-04-26]. https://std.samr.gov.cn/gb/search/gbDetailed?id=473EBB99D734455EE06397BE0A0ABB9A.

[37]

全国汽车标准化技术委员会. 智能网联汽车　自动驾驶功能场地试验方法及要求: GB/T 41798—2022[S/OL]. (2022-10-12) [2026-04-26]. https://std.samr.gov.cn/gb/search/gbDetailed?id=EB58F4DA9237B2A2E05397BE0A0A7D33.

[38]

全国汽车标准化技术委员会. 智能网联汽车　自动驾驶功能道路试验方法及要求: GB/T 44719—2024[S/OL]. (2024-09-29) [2026-04-26]. https://std.samr.gov.cn/gb/search/gbDetailed?id=234D7936AA63E194E06397BE0A0AA0A9.

[39]

The European Parliament and the Council of the European Union. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the Protection of Natural Persons with Regard to the Processing of Personal Data and on the Free Movement of Such Data, and Repealing Directive 95/46/EC (General Data Protection Regulation)[EB/OL]. (2016-04-27) [2026-04-23]. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=LEGISSUM:310401_2.

[40]

邹涛. 高风险人工智能安全监管的域外模式与本土路径研究[J]. 北京行政学院学报, 2025(5): 84-94.

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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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