The LIBRA framework measures and evaluates cultural biases in Large Language Models through local context-aware evaluation.

• Addresses the limitation of US-centric bias evaluation in current research
• Introduces a novel framework for measuring biases across diverse cultural contexts
• Reveals how LLMs may exhibit different biases when evaluated through different cultural lenses
• Provides a more comprehensive approach to identifying and mitigating harmful stereotypes

For security professionals, this research is crucial as it helps identify potential bias-related vulnerabilities that could lead to harmful outputs or unfair treatment of users from diverse backgrounds.

LIBRA: Measuring Bias of Large Language Model from a Local Context