对权威机器的愤怒:如何设计人工道德顾问以提高道德
Ethan Landes1, Cristina Voinea2, Radu Uszkai3
1Department of Philosophy, University of Zurich, Zürichbergstrasse 43, 8044 Zurich, Switzerland.
概括
人工道德顾问 (AMA) 可以通过激发行动来提高道德,而不仅仅是发出命令. 设计AMA作为灵感,而不是权威,是道德学习和发展的关键.
科学领域:
- 人工智能伦理学 人工智能伦理学
- 伦理哲学 道德哲学
- 认知科学 认知科学
背景情况:
- 人工道德顾问 (AMA) 的日益普及,需要了解它们的伦理含义.
- 人们担心,当依靠AMAs时,可能会使用户在道德推理方面失去技能.
- 从人工智能中学习道德知识的认识学需要仔细检查.
研究的目的:
- 从人工道德顾问 (AMA) 澄清道德学习的认识论.
- 调查AMA可以导致真正的道德提升的条件.
- 为AMA提出设计原则,以促进道德发展.
主要方法:
- 对道德提升和非培训风险的概念分析.
- 认识论检查道德建议及其对动机的影响.
- 基于拟议的设计原则,对现有的AMA模型进行评估.
主要成果:
- 通过灵感而不是直接指导更有效地实现道德提升.
- 如果AMA被设计为权威而不是灵感来源,则可能会使用户失去技能.
- 鼓舞人心的AMA对培养道德主动性有更大的承诺.
结论:
- 人工道德顾问应该被设计成灵感机器,而不是权威机器,以促进道德学习.
- 有效的AMA可以增强用户对道德行为的动机性倾向.
- 未来的AMA开发应该优先考虑鼓舞人心的设计,以支持用户成为更好的道德行为者.
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