对人类和机器的社会偏好:关于机器回报的作用的系统实验
Alicia von Schenk1,2, Victor Klockmann1,2, Nils Köbis1
1Center for Humans and Machines, Max Planck Institute for Human Development.
概括
合作人工智能 (AI) 研究表明人机合作有所不同. 当人们知道人类从机器的收入中获益时,他们对机器表现出更强的社会偏好.
科学领域:
- 人工智能的人工智能
- 行为经济学是一种行为经济学.
- 人与计算机的交互
背景情况:
- 越来越多的人对合作人工智能 (AI) 环境感兴趣,人类和机器在其中协作.
- 160多项研究记录了人类与机器在行为实验中的合作.
- 在这些研究中,机器回报的实施和传播方式存在显著差异.
研究的目的:
- 系统地审查机器回报的不同实现如何影响人类的社会偏好和对人工智能的互惠.
- 调查知道机器回报的受益人对合作水平的影响.
- 了解关于机器收入的自私信念如何影响人类与机器的合作.
主要方法:
- 来自160多项关于人机合作的研究的实验说明的系统审查.
- 在线实验 (N = 1,198) 比较不同的机器回报实现和信息条件.
- 后续研究 (N = 150) 分析关于机器回报的信念的调查答案.
主要成果:
- 当参与者知道人类受益者收到机器回报时,人类的社会偏好和对机器的互惠力大大增强.
- 当参与者不知道机器的回报时,观察到对机器的弱社会偏好.
- 参与者展示了关于机器回报的自我服务的信念形成.
结论:
- 机器收入的实施和透明度显著影响了人类与人工智能合作的程度.
- 了解人类的社会偏好对于设计有效的合作性AI系统至关重要.
- 关于机器操作受益者的透明度可以促进更大的人机协作.
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