Argumentation and eXplainable Artificial Intelligence (XAI) are closely related, as in the
recent years, Argumentation has been used for providing Explainability to AI. Argumentation …

In this paper we report on a significant research project undertaken to design, implement
and evaluate explainable decision-support tools for deciding legal cases. We provide a …

Although the argumentation justifying decisions in particular cases has always been central
to AI and Law, it has recently become a burning issue as black box machine learning …

This paper is an introduction to a virtual special issue of AI and Law exploring the legacy of
the influential HYPO system of Rissland and Ashley. The papers included are: Arguments …

There is an increasing need for norms to be embedded in technology as the widespread
deployment of applications such as autonomous driving, warfare and big data analysis for …

Automatically mining patterns of reasoning from evidenceintensive legal decisions can
make legal services more efficient, and it can increase the public's access to justice, through …

This paper gives an account of dimensions in the reason model found in Horty (Legal
Theory 17 (1): 1–33, 2011), Horty and Bench-Capon (in: Proceedings of the 15th …

This article discusses the desirability and feasibility of modeling precedents with multiple
interpretations within factor-based models of precedential constraint. The main idea is that …

The ANGELIC methodology was developed to encapsulate knowledge of particular legal
domains. In this paper we describe its use to build a full scale practical application intended …

In this paper we present an argumentation-based approach to representing and reasoning
about a domain of law that has previously been addressed through a machine learning …