AI RESEARCH
Quantifying the Salience of Geo-Cultural Values for Pluralistic Safety Alignment
arXiv CS.LG
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ArXi:2606.00369v1 Announce Type: cross Safe global deployment of AI models requires alignment with human values that vary across cultures. Yet rater pools in safety evaluation datasets remain largely geographically homogeneous, failing to capture geo-cultural differences. Further, it remains unclear whether such differences persist after controlling for graphics such as age, gender, and ethnicity.