理由的力量可以修复人机互信,即使在道德分歧的情况下也是如此
Elizabeth K Phillips1, Bertram F Malle2
1George Mason University, Fairfax, V.A, USA. ephill3@gmu.edu.
Scientific reports
|October 6, 2025
概括
在社会角色中的机器人需要证明违反规范的行为是合理的,以保持信任. 解释行动和坚持的价值观可以减轻不赞成,促进机器人融入人类社区.
科学领域:
- 人与机器人的交互
- 人工智能伦理学
- 社会机器人社会机器人社会机器人
背景情况:
- 扮演社会角色的机器人必须遵守社区规范,以防止信任侵蚀.
- 冲突的规范需要优先级,导致不可避免的规范违规和道德不赞成.
- 保持信任对于自主代理人成功融入社会至关重要.
研究的目的:
- 调查理由在减轻对机器人的道德不满方面的有效性.
- 确定证明是否可以恢复人机交互的可信度.
- 探索机器人如何在面对相互矛盾的规范时处理道德不认可.
主要方法:
- 进行了三项涉及3,596名参与者的实验.
- 该研究比较了理由与简单的解释对人类感知的影响.
- 参与者在观察了有或没有理由的违规行为后,评估了机器人的可信度.
主要成果:
- 理由显著减轻了针对机器人的道德不赞成.
- 即使机器人的行为与观察者的道德立场相冲突时,也恢复了感知到的可信度.
- 在处理不满时,理由比简单的解释更有效.
结论:
- 人类同时将违反规范的责任归咎于机器人,但在合理的情况下欣赏他们的诚信.
- 理由允许机器人保持可信度,尽管存在道德上的分歧.
- 有效的正当化策略可以促进机器人融入需要道德决策的社会角色.
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