TruEra 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.

TruEra 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.

Education

Trustworthy ML Coursework
Chief Scientist Anupam Datta and advisor John Mitchell are co-teaching a course at Stanford focused on research methods to achieve trustworthy ML models. The course will eventually be open to everyone as a publicly-available resource.
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Trustworthy ML Coursework
Research Blog Posts
The research team regularly posts informational content about innovations, TruEra solution developments, and the ML landscape more broadly.
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Research Blog Posts
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Outreach

Evaluate and Track LLM Applications with TruLens

trulens for llm apps

Evaluate and Track LLM Applications with TruLens

TruLens is an open source library for LLM Observability. Evaluate, iterate faster, and select your best LLM app with TruLens. Starting with just a few lines of code, you can drive rapid iteration with scalable, programmatic feedback.

Regulatory Engagement

TruEra 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.

Regulatory Engagement

Regulatory Engagement

Tutorials

Tutorials

Tutorials

TruEra 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.