商用自动驾驶技术监管问题及对策——以特斯拉为例

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Abstract Autonomous vehicle(AV)is the most representative application scenario of artificial intelligence,which is rapidly developed for commercial use.AV leads to new types of human-machine interaction,triggering a large number of new facts.However,the absence of laws and policies causes severe social problems.Therefore,this study first identifies and clarifies the following three key regulation-related technical elements,namely technical level classification,operational design domain,and current development stage of the AV so as to unify the terminology and framework in this field.Then,this study analyzes the crucial regulatory problems with L2 automation system which is largely commercialized in China,such as regulatory measures lacking,safety risk emerging,false propaganda overflowing,and safeguarding right difficulty.Furthermore,based on the theory of human factor engineering,this study carries out an in-depth analysis of the internal mechanism of these problems.Finally,it is proposed that the regulation in AV field should adhere to human-orientation.Based on this,this study proposes four specific methods for regulatory optimization,namely,level-adapted regulation,mandatory pre-market testing,standardization for language using in AV advertisements,mandatory requirement for risk control system,to supervise and guide the sustainable development of the AV technology and industry.

Key words： Artificial intelligence Autonomous vehicle Human factor engineering Human-orientation

Received: 17 May 2021

PACS:

D912.1

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Zhang Xijin. The Problems and Countermeasures of Regulation of Commercial Autonomous Vehicle Technology in China:A Case of Tesla[J]. , 2022, 3(5): 167-177.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2022/V3/I5/167

[1]彭文华.自动驾驶车辆犯罪的注意义务[J].政治与法律,2018(5):86-99.
[2]特斯拉中国官网.设计您的Model 3[EB/OL].(2020-08-30)[2020-11-24].https://www.tesla.cn/model3/design#autopilot.
[3]TESLA.Model 3 Owner's Manual[EB/OL].(2020-10-29)[2020-12-10].https://www.tesla.com/sites/default/files/model_3_owners_manual_north_america_en.pdf.
[4]于海防.人工智能法律规制的价值取向与逻辑前提——在替代人类与增强人类之间[J].法学,2019(6):17-30.
[5]石英.人因工程学[M].北京:清华大学出版社,北京交通大学出版社,2011.
[6]司晓,曹建峰.论人工智能的民事责任:以自动驾驶汽车和智能机器人为切入点[J].法律科学(西北政法大学学报),2017,35(5):166-173.
[7]冯珏.自动驾驶汽车致损的民事侵权责任[J].中国法学,2018,(6):109-132.
[8]王莹.法律如何可能——自动驾驶技术风险场景之法律透视[J].法制与社会发展,2019,25(6):99-112.
[9]吴超仲,吴浩然,吕能超.人机共驾智能汽车的控制权切换与安全性综述[J].交通运输工程学报,2018,18(6):131-141.
[10]DESMOND P A,HANCOCK P A.Active and passive fatigue states.[M].Mahwah:Lawrence Erlbaum Associates Publishers,2001.
[11]FELDHÜTTER A,HECHT T,KALB L,et al.Effect of prolonged periods of conditionally automated driving on the development of fatigue:with and without non-driving-related activities[J].Cognition,technology & work,2019,21(1):33-40.
[12]BIANCHI PICCININI G F,RODRIGUES C M,LEITÃO M,et al.Reaction to a critical situation during driving with Adaptive Cruise Control for users and non-users of the system[J].Safety science,2015,72:116-126.
[13]SARTER N B,WOODS D D.How in the world did we ever get into that mode? Mode error and awareness in supervisory control[J].Human factors,1995,37(1):5-19.
[14]王红霞.从引人误认到引人困惑:经营者新型不当信息行为及其规制[J].法学评论,2018,36(4):115-125.
[15]特斯拉中国官网.Autopilot未来展望[EB/OL].(2020-08-30)[2020-11-24].https://www.tesla.cn/model3.
[16]IIHS.New studies highlight driver confusion about automated systems[EB/OL].(2019-06-20)[2020-11-21].https://www.iihs.org/news/detail/new-studies-highlight-driver-confusion-about-automated-systems.
[17]许中缘,范沁宁.人工智能产品缺陷司法认定标准之研究[J].重庆大学学报(社会科学版),2022,28(1):257-269.
[18]王乐兵.自动驾驶汽车的缺陷及其产品责任[J].清华法学,2020,14(2):93-112.
[19]The Tesla Team.A tragic loss[EB/OL].(2016-06-30)[2020-11-13].https://www.tesla.com/blog/tragic-loss.
[20]杨立新.用现行民法规则解决人工智能法律调整问题的尝试[J].中州学刊,2018(7):40-49.
[21]PEARL T H.Fast & furious:the misregulation of driverless cars[J].New york university annual survey of american law,2017,73:19.
[22]NTSB.Final reports for 2 advanced driver assistance system crash investigations published[EB/OL].(2020-03-19)[2020-10-11].https://www.ntsb.gov/news/press-releases/Pages/NR20200319.aspx.
[23]PEARL T H.Hands on the wheel:a call for greater regulation of semi-autonomous cars[J].Indiana law journal,2018,93(3):713-756.
[24]王利明.人工智能时代对民法学的新挑战[J].东方法学,2018(3):4-9.