人机集体中的信任取决于人们对合作规范的共识
Kinga Makovi1, Anahit Sargsyan2, Wendi Li3
1Social Science Division, New York University Abu Dhabi, Abu Dhabi, UAE.
Nature communications
|May 30, 2023
概括
在混合集体中,人们对待机器与人类的不同. 意识到社会规范的共识可以减少这种差异性待遇,加速人机合作.
科学领域:
- 社会心理学 社会心理学
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
背景情况:
- 人类和机器越来越多地在混合集体中互动,需要明确的合作社会规范.
- 现有的人类社会规范在几千年的时间里演变了,但人类机器交互的规范仍在出现.
- 对机器与人类的不同待遇可能会阻碍这些集体的有效协作.
研究的目的:
- 研究人类如何在合作社会结构中与人类不同地对待机器.
- 检查社会规范的作用和对人机交互的信任.
- 确定可以减轻差别待遇的因素,并促进混合集体的合作.
主要方法:
- 对7917名参与者进行了5项研究,这些参与者在一个模拟社会中参与了受益者,帮助者,惩罚者和信托人.
- 分析了基于助手和惩罚者遵守规范的基础上如何获得或失去信任.
- 评估了告知参与者关于对待人类和机器的规范共识的影响.
主要成果:
- 在人类和机器之间,遵循规范的信任效益不同.
- 信任者对规范共识的评估影响了对合作行为的信任.
- 告知信托人关于规范共识减少了对人类和机器的差异性待遇.
结论:
- 人类可以调整现有的社会规范,从只有人类的群体来管理人机集体.
- 意识到关于合作规范的新兴共识,可以加速为混合集体制定规范.
- 了解规范开发对于促进有效的人机协作至关重要.
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