The goal of this research is to detect machine learning model uncertainty and mitigate its effects on the quality of model inference.

Three SEI studies evaluated the state of the practice of machine unlearning, bias auditing, and AI red-teaming.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...