Can LLMs Reason About Trust?: A Pilot Study
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866909709913554944 |
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| author | Debnath, Anushka Cranefield, Stephen Lorini, Emiliano Savarimuthu, Bastin Tony Roy |
| author_facet | Debnath, Anushka Cranefield, Stephen Lorini, Emiliano Savarimuthu, Bastin Tony Roy |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_21075 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Can LLMs Reason About Trust?: A Pilot Study Debnath, Anushka Cranefield, Stephen Lorini, Emiliano Savarimuthu, Bastin Tony Roy Human-Computer Interaction Computation and Language Computers and Society Multiagent Systems 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. |
| title | Can LLMs Reason About Trust?: A Pilot Study |
| topic | Human-Computer Interaction Computation and Language Computers and Society Multiagent Systems |
| url | https://arxiv.org/abs/2507.21075 |