Human Driver’s Reasoning on Moral Dilemma of Autonomous Vehicles: Values and Themes

Gibbeum Lee, Namwoo Kang, Jihoon Lee
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Abstract

The computing capacity of Autonomous Vehicles (AVs) has allowed the public to rediscover the classic trolley dilemma in a modern context. This paper aims to present an in-depth explanation of driver’s moral reasoning for AV moral dilemma situations. Moral dilemma vignettes for AVs were designed based on real crash data and in-depth interviews with drivers. With the vignettes, a thought experiment with 33 participants was conducted; think aloud method and open-ended interviews were used to examine participants’ reasoning processes. This paper qualitatively interpreted the data by thematic analysis. The results suggest that 1) human drivers’ moral reasoning relies on diverse moral values and 2) reasoning can be explained based on safety, justice, and crash context. The results can be used as an analysis and communication tool for AV engineers and machine ethicists to determine how well current AV algorithms convey actual human moral reasoning.
人类驾驶员对自动驾驶汽车道德困境的推理:价值与主题
自动驾驶汽车(AVs)的计算能力使公众能够在现代背景下重新发现经典的电车困境。本文旨在对AV道德困境情况下驾驶员的道德推理进行深入的解释。基于真实碰撞数据和对驾驶员的深度访谈,设计了自动驾驶汽车的道德困境小插曲。通过这些小插曲,研究人员对33名参与者进行了思想实验;使用“大声思考”方法和开放式访谈来检查参与者的推理过程。本文通过专题分析对数据进行定性解读。结果表明:(1)人类驾驶员的道德推理依赖于不同的道德价值观;(2)推理可以基于安全、正义和事故背景来解释。研究结果可以作为自动驾驶工程师和机器伦理学家的分析和交流工具,以确定当前的自动驾驶算法如何很好地传达实际的人类道德推理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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