Which English Do LLMs Prefer? Triangulating Structural Bias Towards American English in Foundation Models

1. 1Investigate the data curation process to identify sources of bias
2. 2Analyze the digital dominance and linguistic standardization in LLM development
3. 3Consider postcolonial perspectives to understand the broader significance of the bias
4. 4Develop strategies to mitigate the bias and improve LLM performance on diverse English variants

AI researchers and engineers benefit from understanding the bias in LLMs to improve their models, while product managers and entrepreneurs should consider the implications for global users

💡 LLMs are biased towards American English due to geopolitical histories of data curation and digital dominance

🤖 LLMs prefer American English due to structural bias!