Quantifying the Salience of Geo-Cultural Values for Pluralistic Safety Alignment
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 demographics such as age, gender, and ethnicity. Through a meta-analysis of safety datasets, we find that most do not report geo-cultural information, and those that do lack a unified
Record details
Published: 29 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (29 May 2026), “Quantifying the Salience of Geo-Cultural Values for Pluralistic Safety Alignment,” evidence record 3410, https://ethics.ai/record/3410 (originally published by arXiv).
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