LLMs display Western-centric cultural representations that align poorly with native priorities in non-Western countries and share highly correlated error patterns.
A unified framework to quantify cultural intelligence of ai
2 Pith papers cite this work. Polarity classification is still indexing.
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Case studies with blind UK residents and people from Kerala and Tamil Nadu demonstrate that community input at the systematization stage produces culturally grounded definitions of appropriateness for text-to-image model outputs.
citing papers explorer
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Cultural Authenticity: Comparing LLM Cultural Representations to Native Human Expectations
LLMs display Western-centric cultural representations that align poorly with native priorities in non-Western countries and share highly correlated error patterns.
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Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics
Case studies with blind UK residents and people from Kerala and Tamil Nadu demonstrate that community input at the systematization stage produces culturally grounded definitions of appropriateness for text-to-image model outputs.