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.

The artificial intelligence community has long struggled with a fundamental challenge of making AI systems transparent and understandable. As large language models become increasingly powerful, ...

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

Explainable AI also allows us to understand whether bias comes from the data that the AI model is trained with or how different labels are weighted by the model. A matter of trust . For many people, ...

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.