使用人工代理来推动外组利他主义,减少人与代理互动中的内组偏爱
1Department of Psychology, Faculty of Humanities, University of Johannesburg, Bunting Road, Auckland Park, Johannesburg, 2092, South Africa.
Scientific reports
|July 9, 2024
概括
使用自适应的人工代理来促进外部群体的利他主义可以削弱内部群体的偏爱. 良好的声誉是这些代理人改善集团间合作和社会可持续性的关键.
科学领域:
- 社会心理学 社会心理学
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 群体内偏好和群体间歧视阻碍了社会合作.
- 了解减轻这些偏见的机制对于社会可持续性至关重要.
研究的目的:
- 调查促进亲社会外群的利他主义是否可以破坏内群的偏爱循环.
- 探索人工代理人在影响群体间动态中的作用.
主要方法:
- 两项研究 (N=880) 通过计算机介导平台利用人与物体的相互作用.
- 外群利他主义是使用非适应性 (研究1) 和适应性 (研究2) 人工智能介绍的.
- 机器学习告知了适应性代理行为;对参与者的意识进行控制的评级任务.
主要成果:
- 不适应的代理人通过减少合作来加强群体内偏好.
- 适应性代理人通过在群内和群外成员之间建立良好的声誉来削弱群内偏好.
- 参与者认为适应性代理人比其他人类更公平,更人性化.
结论:
- 对外群利他主义的积极声誉对于减少内群偏好至关重要.
- 适应性人工智能可以有效地促进集团间的合作.
- 声誉管理是设计有效的推动剂的关键因素,以实现社会利益.
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