The Convergence of Artificial Intelligence and Multilingualism in Education and Media: A Socio-Technical Analysis

Abstract

This research article explores the transformative impact of Artificial Intelligence (AI) on multilingualism within the spheres of education and media. As globalization increases the demand for cross-linguistic communication, AI-driven tools—such as Neural Machine Translation (NMT), Large Language Models (LLMs), and automated subtitling—are redefining how languages are learned and consumed. This paper analyzes the pedagogical shifts in multilingual classrooms and the democratization of information in global media, while addressing critical concerns regarding linguistic bias, the "digital language divide," and the preservation of minority languages.