Large language models and community legal centres: Could chatbots help reduce Australia’s justice gap?

IF 0.7 Q2 LAW
Will Cesta
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引用次数: 0

Abstract

This article considers the extent to which chatbots based on large language models could reduce unmet demand for services offered by Australian community legal centres. It argues that while chatbots developed to streamline intake processes and assist lawyers with research and document preparation are unlikely to significantly reduce Australia’s justice gap, client-facing legal information chatbots have the potential to do so. However, realising this potential involves solving numerous problems, including uncertainty about how Australia’s Legal Profession Uniform Law applies to autonomous software systems and the risk that hallucinations of large language models will mislead clients.
大型语言模型和社区法律中心:聊天机器人能否帮助缩小澳大利亚的司法差距?
本文探讨了基于大型语言模型的聊天机器人能在多大程度上减少澳大利亚社区法律中心所提供服务的未满足需求。文章认为,虽然为简化受理流程、协助律师进行研究和文件准备而开发的聊天机器人不太可能大幅缩小澳大利亚的司法差距,但面向客户的法律信息聊天机器人却有可能做到这一点。然而,实现这一潜力需要解决众多问题,包括澳大利亚《法律职业统一法》如何适用于自主软件系统的不确定性,以及大型语言模型的幻觉误导客户的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
58
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