测试大模型能否理解与建立人与人之间的信任关系
Can LLMs Reason About Trust?: A Pilot Study
- 让大模型分析两人互动中信任的动态变化
- 模型可通过角色扮演主动设计建立信任的行为策略
- 适合对社会认知、人机协作感兴趣的读者
在人类社会中，信任是维系长期健康关系的重要社会态度，为合作奠定基础，使个体能有效协同达成共同目标。随着越来越多的人际互动通过移动应用等电子方式发生，人工智能系统有望帮助用户理解关系中的社会状态。本文研究大型语言模型（LLMs）在需培养信任关系的环境中，推理两人之间信任关系的能力，并评估其是否可通过扮演一方并规划行动来主动诱导信任。
原文摘要 · Abstract (English)
In human society, trust is an essential component of social attitude that helps build and maintain long-term, healthy relationships which creates a strong foundation for cooperation, enabling individuals to work together effectively and achieve shared goals. As many human interactions occur through electronic means such as using mobile apps, the potential arises for AI systems to assist users in understanding the social state of their relationships. In this paper we investigate the ability of Large Language Models (LLMs) to reason about trust between two individuals in an environment which requires fostering trust relationships. We also assess whether LLMs are capable of inducing trust by role-playing one party in a trust based interaction and planning actions which can instil trust.
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