Veritable Research: Trustworthy ML Education & Outreach
It is our long-held belief that ML trustworthiness is key to the advancement of AI. We are glad to see the rest of the world catching on.
Veritable Research is committed to spreading the word about making trustworthy and transparent ML systems. We participate in a variety of educational and outreach efforts to bring our discoveries out of the lab and into the real world.
Neural networks are a hugely important class of models, and many techniques to explain them can be synthesized in a single, generalizable framework. We released the TruLens library, an open-source, framework-independent package, to make this easy for everyone.
Veritable regularly interfaces with regulators across the globe. We recently presented to and submitted comments to the Federal Reserve Board and Office of the Comptroller of Currency here in the U.S., and also are sitting on the Monetary Authority of Singapore’s Veritas consortium.
Veritable recently participated in the 35th annual AAAI conference and presented a tutorial talking about how model explainability can act as a backbone to improving model quality and understanding.