cs.AI updates on arXiv.org 07月15日 12:24
The Consistency-Acceptability Divergence of LLMs in Judicial Decision-Making: Task and Stakeholder Dimensions
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本文首次提出“一致性-接受度差异”概念,分析LLM在司法系统中的技术应用,指出需平衡技术效率与社会合法性,并提出DTDMR-LJGF治理框架。

arXiv:2507.08881v1 Announce Type: cross Abstract: The integration of large language model (LLM) technology into judicial systems is fundamentally transforming legal practice worldwide. However, this global transformation has revealed an urgent paradox requiring immediate attention. This study introduces the concept of ``consistency-acceptability divergence'' for the first time, referring to the gap between technical consistency and social acceptance. While LLMs achieve high consistency at the technical level, this consistency demonstrates both positive and negative effects. Through comprehensive analysis of recent data on LLM judicial applications from 2023--2025, this study finds that addressing this challenge requires understanding both task and stakeholder dimensions. This study proposes the Dual-Track Deliberative Multi-Role LLM Judicial Governance Framework (DTDMR-LJGF), which enables intelligent task classification and meaningful interaction among diverse stakeholders. This framework offers both theoretical insights and practical guidance for building an LLM judicial ecosystem that balances technical efficiency with social legitimacy.

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LLM司法应用 技术一致性与社会接受度 治理框架 LLM司法生态系统 技术效率与社会合法性
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