This supercharging of extremist rhetoric will only amplify and encourage the antisemitism that is already surging on X and ...

Naresh Babu Goolla, a leading researcher in responsible AI and autonomous cybersecurity, explores how emerging technologies are transforming digital defense while reinforcing fairness and trust.

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

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 has the added requirement of being able to explain to a human being how it arrived at a conclusion. We have already seen this as a mandate in medical diagnostic software, ...

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, ...