… manage these artificially intelligent partners. To address this, DARPA launched its explainable
artificial intelligence (XAI) program in May 2017. DARPA defines explainable AI as AI …

… of explainability of a decision from an Artificial Intelligence (AI… While many popular Explainable
Artificial Intelligence (XAI) … insight on quantifying explainability, and recommend paths …

… We introduce four principles for explainable artificial intelligence (AI) that comprise fundamental
properties for explainable AI systems. We propose that explainable AI systems deliver …

… articles focused on the concept of explainability, about 350 have been considered … explainable
artificial intelligence”, “explainable machine learning” and “interpretable machine learning…

… However, for a stable deployment of the artificial intelligence (AI) … “Explainable.” In this
scenario, this work aims to provide a comprehensive survey of AI, explainable artificial intelligence …

… The main goal of this paper is to foster awareness for the necessity of explainability in
machine learning and artificial intelligence. This is done in Section 2. After that in Section 3 we …

… 2017-0-01779; A machine learning and statistical inference framework for explainable
artificial intelligence). Material within this technical publication is based on the work supported by …

… Here we present some of the common approaches to explainability in AI that can help various
stakeholders gain insights into the details of machine learning models. These approaches …

… 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) […

… We used the terms ‘xAI’, ‘explainable artificial intelligence’ or ‘explainable AI’ to search for
articles in the above databases. The reason for not including ‘interpretable’ is partly due to the …