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

Overview:  Human trust ensures AI systems align with regulatory intent, not just technical rules, helping fintech firms ...

Artificial intelligence (AI) already is flying aboard commercial aircraft, even if it is rarely advertised as such. Algorithms optimize flight paths, flag […] ...

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

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.

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 ...

Digital wallets can now break down spending by category, detect trends over time, and flag potential issues such as ...

When leaders trust their data, their systems, and their governance, AI moves from experimentation to enterprise impact.

"If you look at the executive orders on AI, transparency and explainability are pillars. Government entities should be asking for that," Mike Shevlin said.

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

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