Cecchini Dario, Dubljević Veljko
Department of Philosophy and Religious Studies, North Carolina State University, Raleigh, NC, USA.
Sci Eng Ethics. 2025 Jan 24;31(1):5. doi: 10.1007/s11948-025-00528-1.
The incorporation of ethical settings in Automated Driving Systems (ADSs) has been extensively discussed in recent years with the goal of enhancing potential stakeholders' trust in the new technology. However, a comprehensive ethical framework for ADS decision-making, capable of merging multiple ethical considerations and investigating their consistency is currently missing. This paper addresses this gap by providing a taxonomy of ADS decision-making based on the Agent-Deed-Consequences (ADC) model of moral judgment. Specifically, we identify three main components of traffic moral judgment: driving style, traffic rules compliance, and risk distribution. Then, we suggest distinguishable ethical settings for each traffic component.
近年来，为增强潜在利益相关者对自动驾驶系统（ADSs）这项新技术的信任，自动驾驶系统中道德场景的纳入问题已得到广泛讨论。然而，目前缺少一个全面的自动驾驶系统决策道德框架，该框架能够融合多种道德考量并研究它们的一致性。本文通过提供一种基于道德判断的行为者－行为－后果（ADC）模型的自动驾驶系统决策分类法来填补这一空白。具体而言，我们确定了交通道德判断的三个主要组成部分：驾驶风格、交通规则遵守情况和风险分配。然后，我们针对每个交通组成部分提出了可区分的道德场景。
