Two days. Real-world AI bias problems. Open source solutions. Register free and help build AI that works for everyone.
Every track is built around a documented bias case. Teams ship a working prototype and methodology doc.
Audit and fix diagnostic, triage, or treatment recommendation systems for gender and racial bias.
Learn MoreBuild fairer resume screeners, interview tools, or job recommendation engines.
Learn MoreAudit risk assessment tools and predictive policing systems for documented disparities.
Learn MoreTackle bias in search, recommendation, and personalization systems affecting everyday users.
Learn MoreAnyone! We welcome students, professionals, and community members at all skill levels.
Yes. Registration is completely free.
Cash prizes (amounts to be announced), mentorship, open-source publication, and direct access to policy-makers.
You can register solo and we'll help you find teammates, or come with a team of 2–5.
A working prototype that addresses a documented AI bias problem, plus a methodology document.
Top prototypes are open-sourced, published, and considered for incubation and continued development.