论文标题

自动驾驶汽车:人工智能和法律出血边缘的十字路口

The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law

论文作者

McLachlan, Scott, Kyrimi, Evangelia, Dube, Kudakwashe, Fenton, Norman, Schafer, Burkhard

论文摘要

人工智能(AI)特征越来越多地嵌入汽车中,对于自动驾驶汽车(SDC)的运行至关重要。在理解和评估AI在汽车中做出的决定的广泛法律和监管影响方面,几乎没有花费或没有努力。进行了全面的文献综述,以确定SDC的感知障碍,利益和促进因素,以帮助我们了解现有和拟议的法律和法规的适用性和局限性。 (1)现有的和拟议的法律主要基于SDV的声称的利益,这些福利仍然是投机性和未经测试的; (2)公开介绍是指责和确定谁支付SDC涉及事故的地方的问题,但障碍与社会,法律和法规几乎每个领域都大致相交; (3)新法律和法规最常被确定为启用SDC的主要因素。评估AI在SDC中的影响的研究需要扩大,而超出了本文确定的障碍,收益和促进因素,而超出了疏忽和责任。本文的结果很重要,因为它们指出需要更深入地理解所有现有法律和法规对引入SDC技术的广泛影响,而着重于确定真正需要持续关注的那些领域。

Artificial intelligence (AI) features are increasingly being embedded in cars and are central to the operation of self-driving cars (SDC). There is little or no effort expended towards understanding and assessing the broad legal and regulatory impact of the decisions made by AI in cars. A comprehensive literature review was conducted to determine the perceived barriers, benefits and facilitating factors of SDC in order to help us understand the suitability and limitations of existing and proposed law and regulation. (1) existing and proposed laws are largely based on claimed benefits of SDV that are still mostly speculative and untested; (2) while publicly presented as issues of assigning blame and identifying who pays where the SDC is involved in an accident, the barriers broadly intersect with almost every area of society, laws and regulations; and (3) new law and regulation are most frequently identified as the primary factor for enabling SDC. Research on assessing the impact of AI in SDC needs to be broadened beyond negligence and liability to encompass barriers, benefits and facilitating factors identified in this paper. Results of this paper are significant in that they point to the need for deeper comprehension of the broad impact of all existing law and regulations on the introduction of SDC technology, with a focus on identifying only those areas truly requiring ongoing legislative attention.

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