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

Jamil Jiva argues that a “glocal” approach is essential for global institutions to remain compliant and competitive and explains how leaders can turn fragmented strategies into an opportunity for ...

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, ...

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.

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.

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

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, ...

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

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, ...