Using Multi-Facet Rasch Modeling on 36,400 safety ratings of AI-generated conversations, we reveal significant racial disparities (Asian 39.1%, White 28.7% detection rates) and content-specific bias patterns. Simulations show that diverse teams of 8-10 members achieve 70%+ reliability versus 62% for smaller homogeneous teams, providing evidence-based guidelines for AI-generated content moderation.