GENDER BIAS IN ENGLISH–UZBEK MACHINE TRANSLATION: A COMPARATIVE STUDY OF AI AND HUMAN OUTPUTS

This article investigates gender bias in English-Uzbek machine translation systems by comparing AI-generated translations with human translator outputs. The study highlights how AI models often reproduce or exaggerate gender stereotypes embedded in English datasets, while human translators rely on contextual reasoning and cultural adaptation to mitigate bias.