Explainable AI (XAI) has been investigated for decades and, together with AI itself, has
witnessed unprecedented growth in recent years. Among various approaches to XAI …

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

Artificial Intelligence algorithms are powerful in performing accurate predictions, but they are
often considered black boxes as they do not provide any explanation about how outputs are …

Mathematical optimization offers highly-effective tools for finding solutions for problems with
well-defined goals, notably scheduling. However, optimization solvers are often …

The right to contest automated decisions as provided by Article 22 of the General Data
Protection Regulation (GDPR) is a due process provision with concrete transparency …

Explaining outputs determined algorithmically by machines is one of the most pressing and
studied problems in Artificial Intelligence (AI) nowadays, but the equally pressing problem of …

End-users' trust in automated agents is important as automated decision-making and
planning is increasingly used in many aspects of people's lives. In real-world applications of …

A paramount, yet unresolved issue in personalised medicine is that of automated reasoning
with clinical guidelines in multimorbidity settings. This entails enabling machines to use …

ABSTRACT Explainable Artificial Intelligence describes a process to reveal the logical
propagation of operations that transform a given input to a certain output. In this paper, we …

This paper introduces epistemic graphs as a generalization of the epistemic approach to
probabilistic argumentation. In these graphs, an argument can be believed or disbelieved up …