Translation 2.0: Evolutionary Shifts in the AI Era

Abstract

Driven by artificial intelligence (AI) algorithms, machine translation has achieved remarkable progress in recent years. The present research examines the impact of artificial intelligence on translation—an activity traditionally regarded as an exclusively human endeavor. Indeed, the increasing integration of AI into translational practice raises fundamental questions regarding its role, reliability, and inherent limitations. This study will review the history of automation in translation and the recent breakthroughs in dedicated applications. Furthermore, it will investigate the evolving role of the human translator, as well as the specific skills and knowledge required to navigate modern translation technologies. It will also address the necessity of a new translational ethics tailored to these technological shifts. Ultimately, this study will underscore the importance of human-machine collaboration within a competitive and constantly evolving environment.