Edu-MMBias: A Three-Tier Multimodal Benchmark for Auditing Social Bias in Vision-Language Models under Educational Contexts
Researchers present Edu-MMBias, a comprehensive framework for detecting social biases in Vision-Language Models used in educational settings. The study reveals that VLMs exhibit compensatory class bias while harboring persistent health and racial stereotypes, and critically, that visual inputs bypass text-based safety mechanisms to trigger hidden biases.