A long-standing question in e-government research is how to maintain citizen trust in digital
encounters with the government. This question is even more pertinent as algorithmic …

This paper is a contribution to the research on dynamics in assumption-based
argumentation (ABA). We investigate situations where a given knowledge base undergoes …

Abstract Reasoning under incomplete information is an important research direction in AI
argumentation. Most computational advances in this direction have so far focused on …

We live in exciting times for AI and Law: technical developments are moving at a breakneck
pace, and at the same time, the call for more robust AI governance and regulation grows …

We define and study the notions of stability and relevance for precedent-based reasoning,
focusing on Horty's result model of precedential constraint. According to this model …

This paper proposes a structured variant in ASPIC+ of the notion of expansions of abstract
argumentation frameworks. The purpose of this is threefold: studying what it takes to …

This paper presents a formal model of dialectical argument strength in terms of the number
of ways in which an argument can be successfully attacked in expansions of an abstract …

We discuss explanations for formal (abstract and structured) argumentation–the question
whether and why a certain argument or claim can be accepted (or not) under various …

We explore the computational complexity of justification, stability and relevance in
incomplete argumentation frameworks (IAFs). IAFs are abstract argumentation frameworks …

Abstract The field of Artificial Intelligence & Law is a community of law and computer science
scholars, with a focus on AI applications for the law and law enforcement. Such applications …