Auteurs : Kunwar Kamal Singh .
This study introduces Algorithmic Linguistic Governance (ALG) as a novel theoretical framework to explain how artificial intelligence increasingly structures language practices, educational processes, and communicative inequalities in global contexts. It addresses the growing influence of AI-driven systems in shaping linguistic access, representation, and authority across digital environments.The research adopts a conceptual and theory-building approach grounded in interdisciplinary synthesis. It critically integrates recent scholarship from artificial intelligence in linguistics, language education, sociolinguistics, and governance studies to construct a coherent analytical framework. Emphasis is placed on recent peer-reviewed contributions to ensure contemporary relevance and scholarly rigor.The study identifies three interrelated mechanisms through which AI systems operate as linguistic governance structures: (1) Algorithmic mediation, where AI systems filter and shape language production and interaction; (2) Linguistic stratification, where dominant languages gain disproportionate visibility and authority; (3) Institutional reinforcement, where these dynamics are embedded within educational systems and policy environments, reproducing structural inequalities.This research advances the field by offering the first integrated theoretical model that systematically links artificial intelligence, linguistic processes, and governance structures, moving beyond fragmented analyses in existing literature.The framework provides significant implications for language policy, AI ethics, and educational equity. It highlights the need for inclusive and accountable AI design to mitigate linguistic marginalization and to promote more equitable global communication systems.
Algorithmic governance; artificial intelligence in language education; sociolinguistics; linguistic inequality; discourse power; digital communication