Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

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 ...

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 ...

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 ...

Like most engineers, as a kid I could answer elementary school math problems by just filling in the answers. But when I didn’t “show my work,” my teachers would dock points; the right answer wasn’t ...