AI for Applied Linguistics: Repositioning Applied Linguistics Within an AI‐Mediated Paradigm

ABSTRACT This commentary proposes AI for Applied Linguistics, hereafter AI4AL, as a framework for studying how artificial intelligence is changing language use, language learning and applied linguistic inquiry. Rather than treating AI primarily as a tool for automation, we argue that applied linguistics should examine AI through four connected lines of work. These are AI as a research instrument, AI as an object of applied linguistic inquiry, AI as a site of conceptual renewal and AI as a problem of pedagogy, policy and social justice. We ground this framework in applied linguistics’ long‐standing concern with language as situated social practice, while recognising that contemporary AI systems now participate in writing, translation, feedback, assessment, interaction and knowledge production. The commentary clarifies the scope of AI by distinguishing between predictive, classificatory, assistive and generative systems, with particular attention to the conceptual significance of generative AI. It then develops four domains of inquiry in writing and literacy, genre and discourse, pragmatics and interaction and multilingualism and inequality. AI4AL is presented as a disciplinary agenda through which applied linguistics can study, evaluate and shape AI‐mediated communication.

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Publication Details

Journal
Modern Language Journal
Published
2026-07-23
DOI
https://doi.org/10.1111/modl.70084
Primary Topic
Digital Education and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

AI for Applied Linguistics: Repositioning Applied Linguistics Within an AI‐Mediated Paradigm

Feng Kevin Jiang, Ken Hyland
Modern Language Journal
Digital Education and Society
article

AI for Applied Linguistics: Repositioning Applied Linguistics Within an AI‐Mediated Paradigm

Feng Kevin Jiang, Ken Hyland
article en

Abstract

ABSTRACT This commentary proposes AI for Applied Linguistics, hereafter AI4AL, as a framework for studying how artificial intelligence is changing language use, language learning and applied linguistic inquiry. Rather than treating AI primarily as a tool for automation, we argue that applied linguistics should examine AI through four connected lines of work. These are AI as a research instrument, AI as an object of applied linguistic inquiry, AI as a site of conceptual renewal and AI as a problem of pedagogy, policy and social justice. We ground this framework in applied linguistics’ long‐standing concern with language as situated social practice, while recognising that contemporary AI systems now participate in writing, translation, feedback, assessment, interaction and knowledge production. The commentary clarifies the scope of AI by distinguishing between predictive, classificatory, assistive and generative systems, with particular attention to the conceptual significance of generative AI. It then develops four domains of inquiry in writing and literacy, genre and discourse, pragmatics and interaction and multilingualism and inequality. AI4AL is presented as a disciplinary agenda through which applied linguistics can study, evaluate and shape AI‐mediated communication.

Modern Language Journal
University of East Anglia (GB), Beihang University (CN)
Quality Education
Openalex Percentile: Top 2%
Digital Education and Society
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AI for Applied Linguistics: Repositioning Applied Linguistics Within an AI‐Mediated Paradigm — Feng Kevin Jiang, Ken Hyland · Modern Language Journal (2026) | TGRS Research Map | TGRS