Check out our work
A friendly, practical guide that lays out some best practices for creating useful, responsible AI applications.
Podcast where a writer and a software engineer explore the human choices that shape machine learning systems by building competing tic-tac-toe agents.
Highly interactive, visual, and approachable explanations of key AI concepts.
Exploring ML ideas and issues, in non-technical features and conversations with diverse voices from around the world.
We build open-source tools to help make ML models more understandable, reliable, and fair.