Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies

Understand

Note: This paper includes examples of potentially offensive content related to religious bias, presented solely for academic purposes.

• The widespread adoption of language models highlights the need for critical examinations of their inherent biases, particularly concerning religion.
• This study systematically investigates religious bias in both language models and text-to-image generation models, analyzing both open-source and closed-source systems.
• We construct approximately 400 unique, naturally occurring prompts to probe language models for religious bias across diverse tasks, including mask filling, prompt completion, and image generation.