Teaser AI doesn’t just “mirror” the world; it encodes erasures. When queer lives—especially at the intersections of migration, race, class, and disability—are sparsely represented in training data, automated systems misrecognize, downrank, or silence them. Under scarcity, harms multiply for “double counters” (e.g., queer migrants) who already navigate hostile bureaucracies and platforms. I deepen our original … Continue reading 6. AI Biases: Building a Queer Counterpublic Under Data Scarcity (v1.2, enriched)