AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. Explainable AI delivers ...

No single team can make AI explainable alone. Product teams define goals and clarify which decisions matter most. Data ...

An overview of the AI Explainability Scorecard, a practical, five-part framework that helps teams quantify how well their ...

Dr. Gianclaudio Malgieri, Associate Professor of Law & Technology at eLaw, is co-author of the article "Explainable Artificial Intelligence (XAI) 2.0 ...

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 ...

As Artificial Intelligence (AI) becomes an indispensable tool in enterprise financial operations, businesses are swiftly adopting automated solutions for processing invoices, detecting fraud, and ...

In this episode of the Becker’s Healthcare Podcast, Lukas Voss speaks with Gaurav Gupta, SVP of Product Strategy and Performance Management at Med-Metrix, about the rising role of artificial ...

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 ...

Jyoti Shah is a Director of Applications Development, a GenAI tech leader, mentor, innovation advocate, and Women In Tech advisor at ADP. Financial executives are confronted with a pressing issue as ...