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

The explainable AI market presents opportunities in enhancing transparency and decision-making across sectors like healthcare ...

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 ...

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 ...

A visionary business analyst and product owner with 18 years of proven track record in driving industry-transforming financial solutions in the UK, Olubunmi Martins-Afolabi possesses exceptional ...

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.

As increasing use cases of AI in insurance add urgency to the need for explainability and transparency, experts are recommending "explainable AI" best practices to follow and key challenges to look ...

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 ...