AI-based medicine will revolutionize care, including for Alzheimer's and diabetes, predicts a technology expert, but it must ...

Providing high value to customers when they need it connects the customer to the FI and helps build long-term relationships.

The tools are powerful, the potential is massive, but amid all the buzz about velocity and automation, I believe we’re ...

The Trump administration quietly reversed a policy that tightened restrictions on microchip exports to China, but why the ...

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

This is partly why explainable AI is not enough, says Anthony Habayeb, CEO of AI governance developer Monitaur. What’s really needed is understandable AI.

AI has become a critical tool in diagnosing and managing viral infections such as influenza, respiratory syncytial virus (RSV ...

Explainable AI works to make these AI black-boxes more like AI glass-boxes. Although businesses understand the many benefits to AI and how it can provide a competitive advantage, they are still wary ...

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.

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.

Why explainable AI matters According to a report released by KPMB and Forrester Research last year, only 21 percent of US executives have a high level of trust in their analytics.