The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …

The current move towards digital pathology enables pathologists to use artificial intelligence
(AI)‐based computer programmes for the advanced analysis of whole slide images …

Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical
practice in algorithmic education. Based on a critical review of the literature, this paper …

Explainable AI (XAI) has established itself as an important component of AI-driven
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …

The main objective of this paper is to clarify the importance of explainability in the crop
recommendation process and provide insights on how Explainable Artificial Intelligence …

Multimodal Learning Analytics (MMLA) innovations make use of rapidly evolving sensing
and artificial intelligence algorithms to collect rich data about learning activities that unfold in …

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

Resistance has historically been considered a salient obstacle to the implementation of
information systems, including healthcare information technology. However, artificial …

Background Artificial intelligence-based (AI) clinical decision support systems (CDSS) using
unconventional data, like smartphone-acquired images, promise transformational …

In recent years the use of Artificial Intelligence (AI) has become increasingly prevalent in a
growing number of fields. As AI systems are being adopted in more high-stakes areas such …