Artificial intelligence (AI) systems power everything from chatbots to security cameras, yet many of the most advanced models ...

The growing risks of black box AI. Black box AI introduces risks that extend far beyond model accuracy. When organizations ...

Rob Futrick, Anaconda CTO, drives AI & data science innovation. 25+ years in tech, ex-Microsoft, passionate mentor for STEM diversity. As artificial intelligence (AI) models grow in complexity, ...

AI black box models lack transparency, making investment decisions unclear. White box models are slower but clarify their decision-making processes. Investors should verify AI outputs to align with ...

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 ...

Generative artificial intelligence (Gen AI) developers continuously push the boundaries of what's possible, such as Google's Gemini 1.5, which can take in a million tokens of information at a time.

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 ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...