We propose a human-centred explanation method for rule-based automated decision-making systems in the legal domain. Firstly, we establish a conceptual framework for developing explanation methods, representing its key internal components (content, communication and adaptation) and external dependencies (decision-making system, human recipient and domain). Secondly, we propose an explanation method that uses a graph database to enable question-driven explanations and multimedia display. This way, we can tailor the explanation to the user. Finally, we show how our conceptual framework is applicable to a real-world scenario at the Dutch Tax and Customs Administration and implement our explanation method for this scenario.

翻译：我们提出了一种以人为中心的解释方法，用于法律领域基于规则的自动化决策系统。首先，我们建立了一个开发解释方法的概念框架，描述了其关键内部组件（内容、沟通和适配）和外部依赖关系（决策系统、人类接收者和领域）。其次，我们提出了一种使用图数据库的解释方法，以实现问题驱动的解释和多媒体展示。这样，我们可以根据用户需求定制解释。最后，我们展示了该概念框架如何应用于荷兰税务与海关管理局的真实场景，并针对该场景实现了我们的解释方法。