Abstract Explanation has been a central feature of AI systems for legal reasoning since their inception. Recently, the topic of explanation of decisions has taken on a new urgency, throughout AI in general, with the increasing deployment of AI tools and the need for lay users to be able to place trust in the decisions that the support tools are recommending. This paper provides a comprehensive review of the variety of techniques for explanation that have been developed in AI and Law. We summarise the early contributions and how these have since developed. We describe a number of notable current methods for automated explanation of legal reasoning and we also highlight gaps that must be addressed by future systems to ensure that accurate, trustworthy, unbiased decision support can be provided to legal professionals. We believe that insights from AI and Law, where explanation has long been a concern, may provide useful pointers for future development of explainable AI.

中文翻译：

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人工智能和法律的解释：过去、现在和未来

摘要 自成立以来，解释一直是用于法律推理的人工智能系统的核心特征。最近，随着人工智能工具的部署越来越多，以及非专业用户能够信任支持工具推荐的决策，决策解释的主题在整个人工智能领域呈现出新的紧迫性。本文全面回顾了人工智能和法律中开发的各种解释技术。我们总结了早期的贡献以及这些贡献是如何发展的。我们描述了许多用于自动解释法律推理的当前显着方法，我们还强调了未来系统必须解决的差距，以确保可以向法律专业人士提供准确、可靠、公正的决策支持。