AfriStereo: Addressing Bias in LLMs with a Culturally Grounded Dataset

This research is crucial for identifying and mitigating biases prevalent in large language models (LLMs). The development of a culturally grounded dataset, AfriStereo, represents a vital step towards fairer and more representative AI systems.

• •AfriStereo aims to address stereotypical bias in LLMs.
• •The dataset is specifically designed with cultural grounding.
• •The research contributes to fairer AI development.