Kubit, the leading customer journey analytics platform, today announced the launch of Ask Kubit, a conversational AI ...

Explainable AI (XAI) bridges that gap. It offers human-readable insights into how AI models make decisions, allowing business ...

Users start with simple interactions and gradually discover more sophisticated capabilities as their comfort level increases.

AWS is making automated reasoning checks, a feature on Bedrock, generally available to customers to start proving truth in their AI systems.

SUPERWISE® named in 4 Gartner® Hype Cycles™ for 2025, recognized for leadership in Explainable AI, AI observability, and model governance.

This is partly why explainable AI is not enough, says Anthony Habayeb, CEO of AI governance developer Monitaur. What’s really needed is understandable AI.

Explainable AI works to make these AI black-boxes more like AI glass-boxes. Although businesses understand the many benefits to AI and how it can provide a competitive advantage, they are still wary ...

In it, explainable AI is placed at the peak of inflated expectations. In other words, we have reached peak hype for explainable AI. To put that into perspective, a recap may be useful.

An explainable AI yields two pieces of information: its decision and the explanation of that decision. This is an idea that has been proposed and explored before.

“Explainable AI essentially helps you trust the algorithm at the end of the day, and it helps you explain to regulators what you’re doing is well-documented in the system, so no one can say ...