Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...

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 ...

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

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

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 ...

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 ...

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

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 ...