Here's how generative AI can help you unlock real growth and accelerate digital transformation in your business.

As enterprises wrestle with ballooning regulatory obligations and costly third-party risk, Vendict, the AI-native platform ...

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

Explainable AI helps companies identify the factors and criteria algorithms use to reach decisions. (Photo by Jens Büttner/picture alliance via Getty Images) Artificial intelligence is biased ...

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.

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.

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.