About This Project

Create an independent third-party certification system for AI/ML models and algorithms used in high-stakes decisions (hiring, lending, criminal justice, healthcare). The system conducts standardized bias audits, fairness testing, and performance analysis across demographic groups. Certified models receive public transparency labels showing bias metrics, accuracy across subgroups, and known limitations. Companies using certified models gain regulatory protection; using uncertified models triggers additional compliance review. The framework includes continuous monitoring, impact assessment updates, and public reporting of failures.

Timeline