AI RESEARCH
UbuntuGuard: A Culturally-Grounded Policy Benchmark for Equitable AI Safety in African Languages
arXiv CS.CL
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ArXi:2601.12696v2 Announce Type: replace Current guardian models are predominantly Western-centric and optimized for high-resource languages, leaving low-resource African languages vulnerable to evolving harms, cross-lingual failures, and cultural misalignment. Moreover, most guardian models rely on rigid, predefined safety categories that fail to generalize across diverse linguistic and sociocultural contexts. Achieving robust safety requires flexible, runtime-enforceable policies and benchmarks that reflect local norms, harm scenarios, and cultural expectations. We