As AI-powered technologies proliferate in the enterprise, the term “explainable AI” (XAI) has entered mainstream vernacular. XAI is a set of tools, techniques, and frameworks intended to help users ...

In this contributed article, editorial consultant Jelani Harper discusses how the ModelOps movement either directly or indirectly addresses each of the following three potential barriers to cognitive ...

Would you blindly trust AI to make important decisions with personal, financial, safety, or security ramifications? Like most people, the answer is probably no, and instead, you’d want to know how it ...

One of the most important aspects of data science is building trust. This is especially true when you're working with machine learning and AI technologies, which are new and unfamiliar to many people.

Artificial intelligence is seeing a massive amount of interest in healthcare, with scores of hospitals and health systems already have deployed the technology – more often than not on the ...

Generative AI applications extend from physiotherapists using text-to-video tools demonstrating patient recovery exercises to coding Q&As that decrease network language complexity. These pre-trained ...

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false ...

American insurers are being urged not to drag their feet on ensuring their use of AI is “explainable,” as regulators and consumers alike begin to demand it. “It’s not like this is a future issue. The ...

Can you tell the difference between a husky and a wolf? Both are large canines with shaggy, dense fur. Both have longer snouts and pointy ears. Both look huggable — but one definitely isn’t. And while ...