Enhancing Translation Studies with Artificial Intelligence (AI): Challenges, Opportunities, and Proposals

Abstract

This theoretical study delves into the symbiotic relationship between Translation Studies and Artificial Intelligence (AI), emphasizing the need for collaboration between these two fields. The study explores the challenges and opportunities for developing Translation Studies with AI and presents proposals for advancing the integration of AI in the field. The integration of AI in translation practices has the potential to enhance translation efficiency, overcome language barriers, and expand access to the information. However, this integration also raises the important ethical considerations, such as the role of human expertise in translation, the accuracy and cultural appropriateness of translations, and the impact of AI on the workforce. The study highlights the importance of integrating AI-related topics into the curriculum of Translation Studies programs, fostering collaborative research projects between scholars and AI developers, and addressing the need to bridge the gap between AI's IQ and EQ capabilities. Translation Studies can play a crucial role in improving AI systems' accuracy and cultural sensitivity in translation by providing valuable insights into the cultural nuances, context, and ethical considerations. By leveraging the expertise of Translation Studies, AI developers and researchers can enhance the performance of AI-based translation systems, ultimately improving the quality and impact of AI in translation. Therefore, this study supports the collaboration between Translation Studies and AI to improve the quality of translation services and promote the widespread use of culturally sensitive translations.

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