… and assistance systems, like highly automated driving, medical assistance systems, …
explainability of machine learning based components in the ISO/TR 4804 (ISO/TC 22 Road vehicles …

… and business areas, spanning from autonomous vehicles [2] to games [3] and … to “explainable
artificial intelligence”; “explainable machine learning”; and “interpretable machine learning”…

… automated decisions is crucial when used in application domains such as transportation and
autonomous vehicles… legal reasons for the deployment of intelligent systems. It’s general …

… the challenge of explainability in developed models and algorithms, particularly artificial
neural networks. This emerging trend, referred to as Explainable Artificial Intelligence (XAI), …

… 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 …

… of the interplay between automated vehicles and trustworthy artificial intelligence, presenting
in a … , security, fairness, and explainability of AI systems, and their testing in field conditions. …

… through the burgeoning field of Explainable Artificial Intelligence. It underscores the critical
need … of the autonomous driving ecosystem, ensuring that these vehicles operate safely and …

… value and the necessity of XAI (Explainable Artificial Intelligence) when using DNNs (Deep …
Vehicle Health Management) when using DNNs. An XAI (Explainable Artificial Intelligence) …

Explainable Artificial Intelligence (XAI) systems need to include an explanation model to
communicate the internal decisions, behaviours and actions to the interacting humans. …

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