… and interpretable models by incorporating explainability mechanisms during their training, …
of the topic of explainability [68], by now referred to as Explainable Artificial Intelligence (XAI) […

… in machine learning (ML) have led to a new wave of artificial intelligence (AI) applications
that … Explanations may not be essential for certain AI applications, and some AI researchers …

… applications in this field and makes a plea for a wider use of explainable learning algorithms
in practice. … It presents recent developments in the field of explainable artificial intelligence …

… application domain to develop automated or semi-automated systems. To facilitate greater
human acceptability of these systems, explainable artificial intelligence (… of explainability and …

… use in mission critical applications, raising ethical and judicial concerns inducing lack of trust.
… as explainable artificial intelligence, XAI, explainable machine learning, explainable deep …

… However, explainability issues make AI applications in … has been conducted into explainable
artificial intelligence (XAI) to … AI applications requires explainable artificial intelligence, and …

… of explainable artificial intelligence, and forecasts future opportunities, potential applications
… towards the development and acceptance of explainable artificial intelligence techniques. …

… in many applications, eg healthcare and finance, where rationale for model's decision is a
requirement for trust. In the light of these issues, explainable artificial intelligence (XAI) has …

… Explainable Artificial Intelligence (XAI) has … application of machine learning, particularly
deep learning, that has led to the development of highly accurate models but lack explainability …

… explainability in Machine Learning, establishing a novel definition of explainable Machine
Learning … met when deploying AI in real applications. As we will later show in detail, model …