Here’s what leaders need to know about the role of awareness and human oversight in building trust in opaque AI systems. The Fast Company Executive Board is a private, fee-based network of influential ...

Progress in mechanistic interpretability could lead to major advances in making large AI models safe and bias-free. The Anthropic researchers, in other words, wanted to learn about the higher-order ...

Forget the hype about AI "solving" human cognition, new research suggests unified models like Centaur are just overfitted "black boxes" that fail to understand basic instructions.

Black box AI systems make decisions using complex algorithms whose inner workings are not transparent. This means users see the results but don’t understand how decisions are made. Little to no ...

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, ...

Modern machine-learning models, such as neural networks, are often referred to as “black boxes” because they are so complex that even the researchers who design them can’t fully understand how they ...

When you click a button in Microsoft Word, you likely know the exact outcome. That’s because each user action leads to a predetermined result through a path that developers carefully mapped out, line ...

In today's artificial intelligence (AI) systems, everything depends on how machines understand data. But beneath the buzzwords lies a quiet challenge: How do you know your AI system is aligned with ...

As artificial intelligence systems become more powerful and widely adopted, they’re not becoming more clear—in fact, it’s often the reverse. Even AI developers can’t always explain how or why their ...