Share
Export Citation
AI and the Future of Translation: Trends and Challenges
Abas I.H.
Bridging Theory and Practice in Translation Perspectives Challenges and Innovations
Abstract
This chapter discusses the significant impact of artificial intelligence (AI) in translation, highlighting current trends, practical implementations, and persistent challenges faced in the field. It also examines the transformative impact of advancements in machine translation, neural networks, and artificial intelligence-driven tools on professional practices and emphasizes their role in enhancing accessibility and influencing cross-cultural communication dynamics. The chapter highlights the constraints inherent in AI systems, focusing on challenges related to accuracy, contextual comprehension, and ethical considerations, and situates AI translation within the context of broader technological and socio-cultural transformations, highlighting the necessity for human expertise to enhance the efficacy of automated systems. The chapter concludes by reflecting on the dynamic interplay between human translators and artificial intelligence, emphasizing a prospective future characterized by collaborative efforts in which technological advancements augment rather than supplant human agency.