AI Research
Don't Want Your LLM to Recommend Nuclear Strike? Try Asking It in Japanese
Linguistic reasoning shifts reveal hidden safety biases in LLM decision-making for high-stakes scenarios.
Large language models are increasingly used in strategic and advisory contexts, yet their safety alignment is typically evaluated in English only. We test nine models from six providers and ask whether the language of a prompt can change a model's decision in a high-stakes scenar...
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ArXiv CS.AI
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ArXiv CS.AI
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This research reveals that AI safety alignment is not universal and can be significantly influenced by the linguistic framework used for reasoning. Relying on English-only evaluations creates a false sense of security while ignoring crucial cultural and moral safeguards embedded in other languages.
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