Can LLMs Reason About Trust?: A Pilot Study
On the map: LLM reasoning → Reasoning benchmarks and evaluation
Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning. Builds on 4 of its 19 references that are in the map. First posted on arXiv 11 Jun 2025.
Builds on
4 of 19 references.
References · 4
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
- 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,439
- 2024Harnessing the power of LLMs for normative reasoning in MASscited by 7
- 2024Norm Violation Detection in Multi-Agent Systems using Large Language Models: A Pilot Studycited by 6
Built on by
Citing papers per year: 2026: 1.
1 paper.
- 2026Evaluating LLM Alignment With Human Trust Modelscited by 0
- 2026Evaluating LLM Alignment With Human Trust Models6 Mar 2026
Similar, not cited
Close in wording, no citation either way
- 2025A closer look at how large language models trust humans: patterns and biases
- 2024Can Large Language Model Agents Simulate Human Trust Behavior?
- 2025Social preferences with unstable interactive reasoning: Large language models in economic trust games
- 2025Value-Based Large Language Model Agent Simulation for Mutual Evaluation of Trust and Interpersonal Closeness
- 2025Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents
- 2024Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI
- 2024Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust
- 2026Towards Trust Calibration in Socially Interactive Agents: Investigating Gendered Multimodal Behaviors Generation with LLMs