A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with ...

Artificial intelligence is increasingly integrated into future communication networks, yet many AI models operate as opaque black boxes, raising concerns ...

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 ...

A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a ...

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 ...

Artificial intelligence has become central to business operations, from procurement to financial services to customer experience. But as adoption accelerates, one concern remains constant: trust.

While atmospheric turbulence is a familiar culprit of rough flights, the chaotic movement of turbulent flows remains an unsolved problem in physics. To gain insight into the system, a team of ...