Large language models like ChatGPT frequently misjudge moral priorities held by non-Western cultures. This bias stems from training data skewed toward Western perspectives. Such misalignment risks alienating diverse user bases and introducing cultural inaccuracies. Developers must now refine RLHF processes to incorporate a broader, more representative set of global ethical frameworks.