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

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

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 ...

When AI falters, it’s easy to blame the model. People assume the algorithm got it wrong or that the technology can’t be trusted. But here’s what I've learned after years of building AI systems at ...

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

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...