The Flash Crash remains a reminder of what happens when automated systems act faster than humans can interpret—and when the ...

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

Nevari earns a 2026 Global Recognition Award for its AI-first advisory model that keeps senior experts close to client work, ...

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

AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. “Explainable AI” delivers that visibility, turning black-box outputs into documented logic that ...

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.

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 ...

The research shows that trust itself is not abstract or emotional. It is built primarily on users’ assessment of data ...