Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...

Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Explainable AI provides human users with tools to understand the output of machine learning algorithms. One of these tools, feature attributions, enables users to know the contribution of each feature ...

AI driven network optimisation in telecom and automated claims processing in insurance became increasingly common ...

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights – including a model-estimated probability score ...

As artificial intelligence systems become more powerful and widely adopted, they’re not becoming more clear—in fact, it’s often the reverse. Even AI developers can’t always explain how or why their ...