吝的机器人可以在实验性共享网络中改善人类福利
Hirokazu Shirado1, Yoyo Tsung-Yu Hou2, Malte F Jung2
1School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA. shirado@cmu.edu.
Scientific reports
|October 20, 2023
概括
社交网络中的人工代理可以提高人类福利,但只有在经过精心设计的情况下. 在资源共享游戏中,的机器人被战略地放置,平衡了权力并促进了集体福利.
科学领域:
- 社交网络分析分析
- 人工智能伦理学 人工智能伦理学
- 行为经济学是一种行为经济学.
背景情况:
- 人工智能 (AI) 越来越多地融入社交网络,管理资源.
- 如果忽视网络动态,人工智能的资源配置可能不会对人类福祉有好处.
研究的目的:
- 调查不同的人工代理 (机器人) 分配策略如何影响社交网络中的人类福利.
- 确定机器人网络位置对资源分配和集体结果的影响.
主要方法:
- 一个在线实验,在120个人类网络中,有496名参与者玩资源共享游戏.
- 引入两种不同的分配政策的AI代理 (机器人):互惠 (共享所有资源) 和吝 (不共享资源).
- 在人类群体内操纵机器人网络位置.
主要成果:
- 互惠机器人对人类资源分配不平等的影响很小.
- 吝的机器人,当战略定位时,平衡结构权力和增强人类群体的集体福利.
- 吝的机器人并没有直接将财富转移给人类参与者.
结论:
- 在社交网络中,机器分配行为必须考虑人类的互惠和相互依赖.
- 人工智能在促进人类福利方面的有效性取决于网络结构和人工智能设计.
- 周到的AI整合对于人类-AI资源共享网络的有益结果至关重要.
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