An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed ...

IIT-Kharagpur director Suman Chakraborty on Tuesday said the institution was pushing boundaries in the areas of artificial ...

Explainability is now a requirement for institutions deploying AI in financial crime compliance. It supports better ...

deployment and monitoring—AI systems are more reliable, more explainable and more trusted by customers. And that trust ...

In a major development, researchers have found compelling new evidence that artificial intelligence (AI) can significantly ...

Using artificial intelligence, researchers show how γ-secretase recognizes substrates - an important advance for fundamental ...

A Future with Explainable AI. Explainable AI is the future of business decision-making. Explainable decision making plays a role in every aspect of AI solutions from training, QA, deployment, ...

As tech writer Scott Clark noted on CMSWire recently, explainable AI provides necessary insight into the decision-making process to allow users to understand why it is behaving the way it is.

Explainable AI begins with people. AI engineers can work with subject matter experts and learn about their domains, studying their work from an algorithm/process/detective perspective.

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. However, ...