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arXiv:2307.16732cs.CL

LLMediator: GPT-4 Assisted Online Dispute Resolution

Hannes Westermann, Jaromir Savelka, Karim Benyekhlef

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Abstract

In this article, we introduce LLMediator, an experimental platform designed to enhance online dispute resolution (ODR) by utilizing capabilities of state-of-the-art large language models (LLMs) such as GPT-4. In the context of high-volume, low-intensity legal disputes, alternative dispute resolution methods such as negotiation and mediation offer accessible and cooperative solutions for laypeople. These approaches can be carried out online on ODR platforms. LLMediator aims to improve the efficacy of such processes by leveraging GPT-4 to reformulate user messages, draft mediator responses, and potentially autonomously engage in the discussions. We present and discuss several features of LLMediator and conduct initial qualitative evaluations, demonstrating the potential for LLMs to support ODR and facilitate amicable settlements. The initial proof of concept is promising and opens up avenues for further research in AI-assisted negotiation and mediation.

arXiv comments
Journal reference
Proceedings of the ICAIL 2023 Workshop on Artificial Intelligence for Access to Justice co-located with 19th International Conference on AI and Law (ICAIL 2023)
DOI
Subjects
cs.CLComputation and Language cs.AIArtificial Intelligence cs.CYComputers and Society

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Linked by 1 identifiable commenter in 2 comments across 2 threads, from Sep 2024 to Apr 2026.

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Discussed in comments2 threads

  1. Show HN: Mediator.ai – Using Nash bargaining and LLMs to systematize fairness 1 comment

    • Super interesting, thank you for sharing! I have published some research on using LLMs for mediation here: https://arxiv.org/abs/2307.16732 and https://arxiv.org/abs/2410.07053 These papers describe the LLMediator, a platform that uses LLMs to: a) ensure a discussion maintains a…

      hawestView on HNParent context

  2. Ask HN: What have you built with LLMs? 1 comment

    • I explored whether this could be helpful in an online dispute resolution platform. The system could detect insulting or angry messages that threaten to derail a conversation, and suggest a more neutral way of formulating them. I think it's promising!…

      hawestView on HNParent context

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