Transforming Translation Education: A Bibliometric Analysis of Artificial Intelligence’s Role in Fostering Sustainable Development

This bibliometric analysis focused on the potential and difficulties of implementing artificial intelligence (AI) in translation education. This study aligns with Sustainable Development Goal 4 (Quality Education), whichemphasizes inclusive and equitable learning opportunities. It investigated the effects of AI tools on teaching methods, student engagement, and language skill development,including generative artificial intelligence (generative AI).Through co-citation and co-occurrence analysis of 281 Web of Science articles (2020–2024), this study identified key research trends, gaps, and interdisciplinary linkages. While AI research in education was extensive, its application in translation education remained fragmented and lacked a cohesive theoretical framework. This study extended AI adoption models by incorporating ethical considerations and pedagogical challenges, addressing gaps in prior research. The findings highlighted the need for institutional support, targeted training, and interdisciplinary cooperation to facilitate AI integration. This study identified gaps in AI-driven translation pedagogy and proposed a framework to enhance integration, particularly in teaching methodologies, ethics, and interdisciplinary collaboration. While AI fosters creativity in curriculum design, personalized learning, and multilingual communication, over-reliance on AI tools may weaken language proficiency. To address inequalities in AI access, inclusive and ethical AI integration strategies aligned with Sustainable Development Goal 10 (Reduced Inequalities) are crucial. This study reinforced the importance of institutional support, targeted training, and resource development to ensure sustainable AI adoption in translation education. It calls for informed policies and interdisciplinary cooperation to advance sustainable and equitable education while optimizing AI-driven learning environments.