Researchers have developed a variety of approaches to evaluate explainable artificial
intelligence (XAI) systems using human–computer interaction (HCI) user‐centered …

In this paper we introduce a new class of software tools engaged in delivering successful
explanations of complex processes on top of basic Explainable AI (XAI) software systems …

This paper presents a new method for objectively measuring the explainability of textual
information, such as the outputs of Explainable AI (XAI). We introduce a metric called …

This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …

Explainable AI was born as a pathway to allow humans to explore and understand the inner
working of complex systems. Though, establishing what is an explanation and objectively …

The awareness about healthy lifestyles is increasing, opening to personalized intelligent
health coaching applications. A demand for more than mere suggestions and mechanistic …

Traditional explanatory resources, such as user manuals and textbooks, often contain
content that may not cater to the diverse backgrounds and information needs of users. Yet …

Significant investment and development have been made in integrating artificial intelligence
(AI) into finance applications. However, the opacity of AI systems raises concerns about …

Explanatory processes are at the core of scientific investigation, legal reasoning, and
education. However, effectively explaining complex or large amounts of information, such as …

Abstract Background and Objective: In the realm of automatic Electronic Health Records
(EHR) classification according to the International Classification of Diseases (ICD) there is a …