Responsible AI
A suite of tools for a customized, end-to-end responsible AI experience
Improve Fairness of AI Systems
Fairlearn is an open-source, community-driven project to help data scientists improve fairness of AI systems
Understand Models & Build Responsibly
A toolkit to help understand models and enable responsible machine learning
Responsible AI Toolbox on Github
Provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on
Error Analysis
A toolkit to help analyze and improve model accuracy
Use Data & Preserve Privacy
A differential privacy toolkit for analytics and machine learning
Responsible Machine Learning
Understand, protect, and control your data, models, and processes to build trusted solutions
Guidelines to Responsibly Implement AI
Ten guidelines for product leaders to put responsible AI principles into practice