GPT-3.5 利他主义建议对相互关注是敏感的,但对战略风险是不敏感的
Eva-Madeleine Schmidt1,2, Sara Bonati3, Nils Köbis3,4
1Center for Humans and Machines, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany. eschmidt@mpib-berlin.mpg.de.
Scientific reports
|September 27, 2024
概括
像GPT-3.5这样的大型语言模型 (LLM) 在经济游戏中表现出利他主义,公平和互惠,反映了人类的社会偏好. 他们的行为受到模拟的顾问人口统计和模型参数的影响.
科学领域:
- 行为经济学是一种行为经济学.
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 预先训练好的大型语言模型 (LLM) 展示了类似人类的文本生成.
- 了解LLM社会和战略行为对于AI对齐和人类-AI互动至关重要.
- 行为经济学范式为研究这些复杂的行为提供了一个框架.
研究的目的:
- 在经济游戏中研究GPT-3.5的社会偏好 (利他主义,互惠,公平).
- 确定GPT-3.5的建议是否与人类的社会偏好保持一致.
- 分析模拟的顾问人口统计和模型参数对GPT-3.5行为的影响.
主要方法:
- 利用已建立的行为经济学游戏:独裁者游戏 (DG) 和最后通游戏 (UG).
- 用GPT-3.5进行了广泛的实验,分析了各种场景的反应.
- 操纵模拟建议社会人口特征和模型温度参数.
主要成果:
- 在"独裁者游戏"中,GPT-3.5比人类表现出更多的利他主义建议.
- 该模型展示了对公平和互惠的理解,反映了微妙的人类社会偏好.
- 顾问的人口统计和模型温度影响了GPT-3.5的战略和社会建议.
结论:
- 在经济游戏中,GPT-3.5的行为与人类的社会偏好保持一致,有时甚至超过.
- 士具有表现出与人类规范相关的复杂社会和战略行为的能力.
- 这项研究提供了一种方法框架,用于评估人工智能模型中类似人类的特征.
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