Veritable Research: Trustworthy ML Systems
It’s not just about being explainable. ML systems must be debuggable, understandable, and trustworthy.
In order to trust ML systems, we need to be able to understand them and have confidence in their performance in the real world. Our research on the trustworthiness of ML systems falls into three categories: