交通中的道德复杂性:推进自动驾驶系统的ADC模型
Dario Cecchini1, Veljko Dubljević2
1Department of Philosophy and Religious Studies, North Carolina State University, Raleigh, NC, USA.
Science and engineering ethics
|January 24, 2025
概括
本研究引入了自动驾驶系统 (ADS) 的新伦理框架,以建立公众信任. 它提出了ADS决策的分类法,涵盖驾驶风格,规则遵守和风险分配.
科学领域:
- 人工智能伦理学
- 自主系统 自主系统
- 伦理哲学的道德哲学
背景情况:
- 自动驾驶系统 (ADS) 需要道德考虑来促进利益相关者的信任.
- 目前缺乏一个全面的ADS决策的伦理框架,整合多个伦理方面及其一致性.
- 现有的讨论往往缺乏对ADS道德决策的结构化方法.
研究的目的:
- 为解决ADS决策的全面道德框架的缺口.
- 为分析自动驾驶中的伦理判断提出一种新的分类学.
- 为交通道德判断的关键组成部分建立可区分的伦理设置.
主要方法:
- 使用道德判断的代理人-行为-后果 (ADC) 模型.
- 为ADS决策制定一个分类学.
- 识别和分类交通道德判断的组成部分.
主要成果:
- 已经建立了一个基于ADC模型的ADS决策分类法.
- 交通道德判断的三个主要组成部分被确定为:驾驶风格,遵守交通规则和风险分配.
- 对于每一个已识别的交通组成部分,都提出了可区分的伦理设置.
结论:
- 拟议的分类学为ADS的伦理决策提供了一个结构化的方法.
- 该框架有助于合并和调查多种伦理考虑的一致性.
- 这项工作有助于开发更可靠,更符合伦理标准的自动驾驶系统.
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