AI systems aren't neutral—they embed and amplify existing power structures around which English dialects are considered 'legitimate,' with real consequences for speakers of non-standard varieties who are increasingly mistaken for AI.
This paper examines how AI language models reflect and reinforce biases toward 'standard' English while marginalizing non-dominant varieties spoken globally. Using examples from training data, model design, and public discourse, it shows how AI systems reproduce language ideologies that privilege English from wealthy countries while treating other Englishes as suspect or AI-like.