With generative AI tools becoming commonplace in schools and universities, educators and policymakers are increasingly ...

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

China is secretly working to gain AI dominance. According to a recent report, the country's research is chasing a literal ...

Machine learning in execution isn’t speculative—it’s operational. The cost of continuing with quarterly reviews and static allocations is no longer just opportunity loss—it’s strategic risk. AI isn’t ...

Explainable AI in the Broad AI Lifecycle. To better understand Explainable AI, let’s consider the end-to-end AI lifecycle to see where and how Explainable AI fits in. Below is how a typical AI project ...

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 ...

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 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.

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, ...