FIBER: A Multilingual Evaluation Resource for Factual Inference Bias

This article introduces FIBER, a resource designed to evaluate factual inference bias in multilingual settings. The focus on bias detection is crucial for responsible AI development. The use of multiple languages suggests a commitment to broader applicability and understanding of potential biases across different linguistic contexts. The ArXiv source indicates this is likely a research paper.

• •FIBER is a resource for evaluating factual inference bias.
• •It is designed for multilingual evaluation.
• •The focus is on bias detection, important for responsible AI.