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 ...

MIT researchers introduce a technique that improves how AI systems explain their predictions, helping users assess trust in critical applications like healthcare and autonomous driving.

One of the most interesting and useful slang terms to emerge from Reddit in my opinion is ELI5, from its subreddit of the same name, which stands for "Explain It Like I'm 5" years old. The idea is ...

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 ...

ChatGPT creator OpenAI LP is working on the development of a tool that it says will eventually help it understand which parts of a large language model are responsible for its behavior. The tool is ...