The recent enthusiasm for artificial intelligence (AI) is due principally to advances in deep
learning. Deep learning methods are remarkably accurate, but also opaque, which limits …

Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …

There has been a significant surge of interest recently around the concept of explainable
artificial intelligence (XAI), where the goal is to produce an interpretation for a decision made …

Artificial Intelligence (AI) has become an integral part of domains such as security, finance,
healthcare, medicine, and criminal justice. Explaining the decisions of AI systems in human …

Explanations in Machine Learning come in many forms, but a consensus regarding their
desired properties is yet to emerge. In this paper we introduce a taxonomy and a set of …

The quest to explain the output of artificial intelligence systems has clearly moved from a
mere technical to a highly legally and politically relevant endeavor. In this paper, we provide …

Nowadays, deep neural networks are widely used in mission critical systems such as
healthcare, self-driving vehicles, and military which have direct impact on human lives …

In the last few years, Artificial Intelligence (AI) has achieved a notable momentum that, if
harnessed appropriately, may deliver the best of expectations over many application sectors …

As artificial intelligence and machine learning algorithms make further inroads into society,
calls are increasing from multiple stakeholders for these algorithms to explain their outputs …

The past years have been characterized by an upsurge in opaque automatic decision
support systems, such as Deep Neural Networks (DNNs). Although DNNs have great …