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 ...

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

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 ...

Artificial intelligence is transforming how financial institutions manage compliance. Tasks like onboarding, screening, and transaction monitoring are increasingly handled by machine learning models ...

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 ...

Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine learning, and computational ...

NIMS has been developing chemical sensors as a key component of artificial olfaction technology (olfactory sensors), with the aim of putting this technology into practical use. In a new study, ...

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.

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