linguistic inequality

Linguistic inequality refers to the uneven performance of AI language models across different languages, where dominant tongues receive robust support while minority and indigenous languages are poorly served. This gap is not a temporary flaw but stems from training data imbalances, dataset choices, and institutional incentives that embed inequality into large language models. Discussions on WindowsForum highlight how regional initiatives like LatAm-GPT aim to address this digital language divide, emphasizing the need for more inclusive AI development to ensure equitable access to technology.