Artificial intelligence (AI) is having a growing impact in many areas related to drug discovery.
However, it is still critical for their adoption by the medicinal chemistry community to achieve …

While the emerging research field of explainable artificial intelligence (XAI) claims to
address the lack of explainability in high-performance machine learning models, in practice …

Humans increasingly interact with AI systems, and successful interactions rely on individuals
trusting such systems (when appropriate). Considering that trust is fragile and often cannot …

Automation is designed to assist operators and enhance system performance and safety.
When unexpected events occur, and the operator is not able to understand the behaviour of …

The evaluation of explainable artificial intelligence is challenging, because automated and
human-centred metrics of explanation quality may diverge. To clarify their relationship, we …

Explainable Artificial Intelligence (XAI) plays a crucial role in enabling human understanding
and trust in deep learning systems, often defined as determining which features are most …

People are increasingly interacting with AI systems, but successful interactions depend on
people trusting these systems only when appropriate. Since neither gaining trust in AI advice …

Concerns for the privacy of individuals captured in public imagery have led to privacy-
preserving action recognition. Existing approaches often suffer from issues arising through …

The use of artificial intelligence (AI)-based decision support systems (DSSs) is expected to
enable superior human–XAI performance. To enhance decision-making performance …

The camera traps have revolutionized the image and video capture in ecology and are often
used to monitor and record animal presence. With miniaturization of low power electronic …