THE TRANSFORMATION OF TRANSLATION PRACTICES THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Abstract

This article explores the transformation of translation practices under the influence of artificial intelligence technologies. It discusses how neural networks, machine learning, and natural language processing reshape the translation industry, redefine the translator’s role, and raise ethical issues related to authorship, data privacy, and cultural adaptation. The paper emphasizes the significance of human–AI collaboration, where human creativity complements machine efficiency. The study concludes that the future of translation lies in the synthesis of human interpretive skills and artificial intelligence capabilities to achieve accurate, culturally sensitive, and ethically responsible multilingual communication.