Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

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

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, ...

So, too, could shifting public opinion on AI transparency. In a 2021 report by CognitiveScale, 34% of C-level decision-makers said that the most important AI capability is “explainable and ...

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.

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

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.

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, ...

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, ...

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