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Cross-lingual fairness gaps in language model watermarking are not just language-specific but are fundamentally tied to the structural properties of language families.
Watermarking, intended to govern AI content, is held to a lower fairness standard than the AI models it's meant to regulate, potentially leading to biased content authentication.
