… such as autonomous driving Footnote 1 , and (3) the lack of transparency and explainability
[18, 32, 76], … It presents recent developments in the field of explainable artificial intelligence …

… (30) also used an attention model to visualize the perception of deep networks for autonomous
driving. Autonomous driving has employed saliency to explain AI models for navigation, …

… to provide a comprehensive survey of AI, explainable artificial intelligence (XAI) based methods,
… Tyagi, “Blockchain-based security attack resilience schemes for autonomous vehicles in …

The autonomous vehicle (AV) revolution promises a paradigm shift in transportation, with
the potential to transform our roads into safer, more efficient, and potentially more …

… such as autonomous driving, medical diagnosis, or banking and finance. While explainability
in AI … In this article, we look at the literature of Explainable Artificial Intelligence (XAI) from a …

… a self-driving car hit and killed her [15]. As a result, questions about the function of artificial
intelligence … , which is made up of driverless or autonomous vehicles, ICVs, and the Internet of …

… autonomous driving. We propose an XAI framework that leverages the XAI explanatory power
to understand AI decisions on two autonomous driving … two autonomous driving datasets (…

… In the light of these issues, explainable artificial intelligence (XAI) has become an area of
interest in research community. This paper summarizes recent developments in XAI in …

… of the topic of explainability [68], by now referred to as Explainable Artificial Intelligence (XAI)
[54], … be beneficial for the area of autonomous vehicles, especially considering autonomous …

… Rogers, “Domain knowledge aided explainable artificial intelligence for intrusion
detection and response,” arXiv preprint arXiv:1911.09853, 2019. [33] B. Mahbooba, M. …