AI Research
LLM Safety Alignment in Low-Resource Languages: A Systematic Literature Review
A systematic review reveals critical safety gaps in multilingual AI, highlighting the need for cultural representation.
Large Language Models (LLMs) have achieved substantial progress in safety alignment, yet their safety guarantees remain significantly weaker in low-resource and multilingual settings than in high-resource languages. In this paper, we conduct a Systematic Literature Review (SLR) o...
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ArXiv CS.CL
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ArXiv CS.CL
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The reliance on translated benchmarks creates a dangerous safety blind spot that disproportionately affects non-English speaking populations. Addressing this disparity is crucial for the equitable and responsible global deployment of generative AI technologies.
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