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 ...

As researchers face mounting regulatory complexity, expanding research portfolios, and persistent resource constraints, compliance teams are increasingly turning to AI to move faster and gain better ...

Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its ...

Several frontier AI models show signs of scheming. Anti-scheming training reduced misbehavior in some models. Models know they're being tested, which complicates results. New joint safety testing from ...

The profession needs to engage seriously with whether the binary audit opinion remains the right product for the public interest it is meant to serve.