ПРЕПРИНТ
О результатах, изложенных в препринтах, не следует сообщать в СМИ как о проверенной информации.
The rapid proliferation of Generative Artificial Intelligence (GenAI) has fundamentally restructured the global architectures of knowledge production, pedagogical practice, and cross-cultural communication. While these technologies promise unprecedented democratization of information, they simultaneously risk entrenching long-standing patterns of linguistic imperialism. This review critically synthesizes the intersection of sociolinguistics and computational power, examining how the data-centric nature of Large Language Models (LLMs)—trained predominantly on Anglocentric datasets—reifies the hegemony of English within the digital and educational commons. Drawing upon frameworks of digital colonialism, epistemic violence, and technological determinism, this study interrogates the systemic biases embedded in AI-driven language tools and algorithmic learning environments. The researcher analyzed how these platforms serve as conduits for "Silicon Valley values," potentially flattening linguistic diversity and marginalizing indigenous ontologies. Conversely, the review evaluates the dialectical tension between AI as a tool for linguistic homogenization and its potential as a catalyst for hyper-personalized language acquisition and automated translation. The findings suggest that while GenAI enhances functional accessibility, it risks institutionalizing a neo-colonial linguistic hierarchy that prioritizes "high-resource" languages at the expense of local vernaculars. We conclude by advocating for a paradigm shift toward decolonial AI ethics and culturally responsive pedagogies. The study calls for a collaborative mandate among policymakers, developers, and educators to architect multilingual AI frameworks that prioritize linguistic pluralism over algorithmic assimilation, ensuring that the digital age of education does not become a mono-linguistic echo chamber.
Heathen T. 2026. A Narrative Review on Digital Colonialism in Generative Artificial Intelligence (GenAI): Language in Focus. PREPRINTS.RU. https://doi.org/10.24108/preprints-3115523
