… In this paper I argue that the search for explainable models and interpretable decisions in
AI must be reformulated in terms of the broader project of offering a pragmatic and naturalistic …

… Explainable artificial intelligence (XAI) is an emerging, multidisciplinary field of research that
… more explainable or interpretable. XAI researchers increasingly recognise explainability as …

… A widespread need to explain the behavior and outcomes of AI-based systems has emerged…
Thus, providing renewed momentum to the relatively new research area of eXplainable AI (…

… had implications for artificial intelligence systems with … of explainability for artificial intelligence
research, and has led to the emergence of the subfield of Explainable Artificial Intelligence …

… 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) […

… into eXplainable Artificial Intelligence (XAI) and the closely aligned Interpretable Machine
Learning … to achieve these levels with Broad eXplainable Artificial Intelligence (Broad-XAI), and …

… In this work, we propose a general framework for usercentred explainable artificial
intelligence (XAI) in humanrobot interaction (HRI). The framework emphasises the social-interactive …

… Governments and private actors are seeking to leverage recent developments in artificial
intelligence (AI) and machine learning (ML) algorithms for use in high-stakes decision making. …

… Therefore, a new research field appeared in order to make AI systems more explainable,
called eXplainable Artificial Intelligence (XAI). The graph is presented in Figure 1, showing the …

… The recent surge in publications related to explainable artificial intelligence (XAI) has led to
an almost insurmountable wall if one wants to get started or stay up to date with XAI. For this …