Women are missing from the data. From healthcare to hiring, finance to search, biased AI creates real-world harm. We surface that bias, cover the people building the fix, and hold AI accountable.
From bias detection to governance change
01
Identify
Open audits of AI products across healthcare, hiring, finance and public services.
02
Convene
Researchers, builders and affected communities meet in Innovation Labs to define what fair looks like.
03
Build
Hackathons and labs ship working, open-source prototypes with documented methods.
04
Hold to account
We publish, partner and push for governance changes that make fairness the default.
Our standardsOpen data, open methodology, no NDAs. We correct errors openly, with a dated note on the story.