Non-technical end-users are silent and invisible users of the state-of-the-art explainable
artificial intelligence (XAI) technologies. Their demands and requirements for AI …

Smart home systems are gaining popularity as homeowners strive to enhance their living
and working environments while minimizing energy consumption. However, the adoption of …

Modern artificial intelligence (AI) and machine learning (ML) systems have become more
capable and more widely used, but often involve underlying processes their users do not …

With Artificial Intelligence (AI) becoming ubiquitous in every application domain, the need for
explanations is paramount to enhance transparency and trust among non-technical users …

Despite its technological breakthroughs, eXplainable Artificial Intelligence (XAI) research
has limited success in producing the {\em effective explanations} needed by users. In order …

Recent advances in artificial intelligence (AI) have drawn attention to the need for AI systems
to be understandable to human users. The explainable AI (XAI) literature aims to enhance …

Explainable Artificial Intelligence (XAI) has taken off in recent years, a field that develops
techniques to render complex AI and machine learning (ML) models comprehensible to …

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

Explainable AI (XAI) is increasingly being used in the healthcare domain. In health
management, clinicians and patients are critical stakeholders, requiring tailored XAI …

Recent advances in artificial intelligence (AI) have drawn attention to the need for AI systems
to be understandable to human users. The explainable AI (XAI) literature aims to enhance …