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Arab World English Journal (AWEJ) Volume 16. Number 1, March 2025 Pp. 43-54
Department of English Language and Literature,
College of Languages and Humanities, Qassim University, Saudi Arabia
Department of Language Literacy and Sociocultural Studies,
University of New Mexico, Albuquerque, New Mexico, USA
In this position paper, we explore the intricate relationship between English language ideologies and artificial intelligence (AI), particularly focusing on large language models (LLMs) and their implications for education. The primary objective is to examine how AI perpetuates linguistic hierarchies and reinforces imperialist and capitalist values through its reliance on standard English datasets. First, we critically outlined the impact of these technologies on linguistic diversity, academic integrity, and cultural representation in language learning. Then, we analyze the existing literature to uncover the ways in which LLMs and AI-based educational tools privilege certain varieties of English while marginalizing others. Finally, we discuss how these technologies amplify linguistic imperialism by devaluing non-standard English varieties and other languages, thereby perpetuating inequities in education. Recommendations include promoting transparency in AI training datasets, incorporating linguistic diversity in AI development, and equipping educators and learners with the tools to engage with AI ethically. This work underscores the urgent need for inclusive and equitable approaches to language education in the age of AI.
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Hani Albelihi is an Assistant Professor of Language Literacy and Sociocultural Studies, in the Department of English Language and Literature, College of languages and Humanities, Qassim University, Methnab, Saudi Arabia. His research interests include Corpus-related issues of Applied Linguistics, second language writing, and Writing across the Curriculum.
ORCID: https://orcid.org/0000-0001-5186-9687
Dr. Mary Rice is an Associate Professor of Literacy in the Department of Language Literacy and Sociocultural Studies at the University of New Mexico. Her research and teaching critique relational aspects of designing and doing digital learning. Mary earned the National Open and Distance Learning Award—K12 from the Open and Distance Learning Association of Australia (2025).
ORCID: https://orcid.org/0000-0002-8138-512X