道路上的道德:ADC模型在低风险的交通图片中
Michael Pflanzer1, Dario Cecchini1, Sam Cacace2
1Center for AI in Society and Ethics, North Carolina State University, Raleigh, NC, United States.
Frontiers in psychology
|June 24, 2025
概括
代理人-行为-后果模型表明,驾驶员的性格,行为和结果都会影响日常交通中的道德判断. 这项研究对于在伦理上编程自动驾驶汽车 (AV) 进行细微决策至关重要.
科学领域:
- 伦理学 伦理学 伦理学
- 人工智能的人工智能
- 道德心理学道德心理学
背景情况:
- 自动驾驶汽车 (AV) 的道德决策日益令人担忧.
- 现有的研究往往侧重于极端场景,忽视日常交通情况.
- 自动驾驶汽车的低风险交通决策需要道德框架.
研究的目的:
- 调查代理人-行为-后果 (ADC) 模型对低风险交通道德判断的适用性.
- 实证地测试代理人的性格,行为遵守规则以及后果如何影响道德可接受性.
- 探索规范性伦理倾向在道德判断中的作用.
主要方法:
- 基于图片的调查方法.
- 参与者:专业的哲学家.
- 基于代理,行为和后果组件的道德判断的分析.
主要成果:
- 所有ADC组件都显著影响了道德判断.
- 积极的代理人,行为和后果的属性增加了道德的可接受性.
- 没有发现规范性伦理倾向的缓和效应,但观察到相互作用效应.
结论:
- ADC模型有效地解释了低风险的交通场景中的道德判断.
- 这些发现对于开发日常驾驶中用于自动驾驶汽车的伦理算法至关重要.
- 未来的研究应该扩大参与者的人口统计和文化背景.
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