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

Neuro-symbolic AI empowers financial executives with advanced decision support, enhancing oversight and regulatory alignment.

The AIXPERT project will develop AI systems that can identify when and how AI-generated music incorporates elements from ...

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

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 ...

In a world where data is everywhere but clarity is rare, the real challenge is no longer access, it’s action. For over a decade, engineering leader and strategist Naveen Edapurath Vijayan has been ...

AI also supports reverse vaccinology, where pathogen genomes are computationally analyzed to identify immunogenic regions ...

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 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, ...

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.

In it, explainable AI is placed at the peak of inflated expectations. In other words, we have reached peak hype for explainable AI. To put that into perspective, a recap may be useful.

“Explainable AI essentially helps you trust the algorithm at the end of the day, and it helps you explain to regulators what you’re doing is well-documented in the system, ...