… The LRP method have been recently extended to learn the global explainability by using
LRP explanation maps as an input to global attribution algorithms. We discuss some such …

… explainable artificial intelligence (AI) that comprise fundamental properties for explainable …
We present five categories of explanation and summarize theories of explainable AI. We give …

… explanations for finding useful properties and generating hypotheses about data-generating
processes which is important for science as well as for future Artificial General Intelligence (…

… A body of literature focused on achieving such a goal by investigating and attempting to
define the concept of explainability, leading to many types of explanation and the formation of …

… In this article, we look at the literature of Explainable Artificial Intelligence (XAI) from a historical
… how the notion of explanation is commonly understood in machine learning, as well as a …

… in the field of explainable artificial intelligence … individual explanations towards a meta-explanation
of model behaviour. This section is not meant to be a complete survey of explanation …

… , these highly successful machine learning and artificial intelligence models are usually …
and makes a plea for more interpretability in artificial intelligence. Furthermore, it presents two …

… lack of explainability of a decision from an Artificial Intelligence (AI… Explainable Artificial
Intelligence (XAI) methods or approaches are available to facilitate a human-friendly explanation …

… to create a human-aligned conversational explanation system. In so doing, this … eXplainable
Artificial Intelligence (Broad-XAI), and thereby move towards high-level ‘strong’ explanations…

… The recent surge in publications related to explainable artificial intelligence (XAI) has led to
… explanation by feature relevance and local explanation, visual explanation and explanation …