自动驾驶汽车有轨电车问题的反类比论述

M. Mukhopadhyay, Kaushik Ghosh, Abhisita Chakraborty, Malay Goswami
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引用次数: 0

摘要

自动驾驶汽车有望比手动驾驶汽车更安全。然而,它们仍然需要变得完全安全。碰撞几乎是不可避免的。因此,需要对自动驾驶汽车进行算法建模,以确定它们应该如何应对碰撞极有可能或不可避免的情况。自动驾驶汽车可能面临的事故场景经常与电车问题相关的困境联系在一起。在这篇评论文章中,我们批判性地研究了这个普遍存在的类比。我们观察到三个基本问题,其中自动驾驶汽车事故算法背后的伦理与电车问题的哲学不同:a.算法设计遵循利益相关者模型或代理模型。b.法律框架和道德责任。c.面对不确定性和风险的低延迟决策建模。通过回顾这三个领域的反类比,我们发现电车问题是一个抽象的问题,与自动驾驶汽车碰撞场景的现实情况相关性较低。每一场车祸对受影响的人来说都是独一无二的,无论是乘客还是行人。护理伦理学似乎是更适合这种现象的方法,因为它的结果适应于现实生活的背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disanalogical Discourse on Trolley Problem for Autonomous Vehicles
Autonomous vehicles promise to be safer than manually driven counterpart. Yet they are still to become completely safe. Collisions are practically unavoidable. So autonomous vehicles need to be algorithmically modeled for how they ought to respond to scenarios where collisions are highly probable or inevitable. The accident-scenarios autonomous vehicles might face have been frequently linked to dilemmas associated with the trolley problem. In this review article, we critically examine this ubiquitous analogy. We observe three basic concerns in which the ethics behind accident algorithms for autonomous vehicles and the philosophy of trolley problem differ: a. The algorithmic design follows a stakeholder model or an agency model. b. Legal framework and moral responsibilities. c. Modelling low-latency decision-making in the face of uncertainty and risk. By reviewing these three areas of dis-analogy, we identify that Trolley Problem is an abstract problem that is of low relevance to the real-life situation of a crash scenario of autonomous vehicle. Every crash scenario is unique to the people it affects, both passenger and pedestrian. Care Ethics seems to be more suitable approach for such phenomenon as its result adapts to context of the real-life.
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