The need for interpretable and accountable intelligent systems grows along with the
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …

Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …

Artificial intelligence has an enormous prospective to secure the cyber world. A lot of
research is happening in the area of artificial intelligence in cyber security, however, the …

A considerable amount of research has been carried out towards making long-standing
smart home visions technically feasible. The technologically augmented homes made …

Explainable AI (XAI) is currently a vibrant research topic. However, the absence of ground
truth explanations makes it difficult to evaluate XAI systems such as Explainable Search. We …

Context-aware applications are increasingly complex and autonomous, and research has
indicated that explanations can help users better understand and ultimately trust their …

Ubiquitous environments, such as smart homes, are becoming more intelligent and
autonomous. As a result, their behavior becomes harder to grasp and unintended behavior …

With the increasing prevalence of artificial intelligence (AI) agents, the transparency of
agents has become vital in addressing interaction issues (eg, trust, usefulness, and …

Programmatically controllable home devices are proliferating, ranging from lights, locks, and
motion sensors to smart refrigerators, televisions, and cameras, giving end users …

Assessing and understanding intelligent agents is a difficult task for users that lack an AI
background. A relatively new area, called" Explainable AI," is emerging to help address this …