KSAFE-MM: A Multimodal Safety Benchmark via Localized Contextualization for Korean Cultural Risks
KSAFE-MM is a new benchmark designed to test how safe multimodal AI models are when dealing with risks specific to Korean culture. It creates two parts: one tests general risks using language context, and another targets culture-dependent issues using localized visual queries. This helps reveal unique safety flaws in MLLMs operating in the Korean context.