As the "black-box" problem creates challenges for AI, explainable AI can help reshape business-to-business operations by ...

At its core, Explainable AI encompasses a variety of techniques and methods aimed at helping humans understand and trust the ...

Ironically, AI, often criticized for exacerbating digital deception and misinformation, holds immense potential to improve ...

attempting to peer into the “black box” of neural networks—complex computing systems loosely inspired by the human brain—and other AI algorithms. While researchers in the field have explored various ...

The integration of XAI methods not only improves transparency but also fosters trust among farmers and agricultural experts.

Health systems can't afford to skip out on generative AI—or to ignore its legal implications, according to Dr. Danny Tobey, ...

The article depicts the fundamentals of Idletechs' AI technology, which powers industrial applications in many different customer segments. Today most of the public AI discourse is centered around the ...

A new study by SRH University emphasizes the benefits of explainable AI systems for the reliable and transparent detection of ...

By applying techniques from explainable artificial intelligence, engineers can improve users’ confidence in forecasts generated by artificial intelligence models. This approach was recently tested on ...