HCCLCYMAJun 11, 2025

Can LLMs Reason About Trust?: A Pilot Study

arXiv:2507.21075v11 citationsh-index: 29
Originality Synthesis-oriented
AI Analysis

This addresses the problem of AI-assisted social relationship management for users in electronic interactions, but it is a pilot study and likely incremental.

The paper investigates whether Large Language Models (LLMs) can reason about trust between individuals and induce trust by role-playing in interactions, finding that LLMs show some capability in these tasks.

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.

Foundations

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