AAAL 2026: Invited Colloquium

Artificial Intelligence in Applied Linguistics: Applications, Promises and Challenges

Conveners:

Andrea Révész, University College London
Shungo Suzuki, Lancaster University
      

Discussant: 

Coming Soon

 

Colloquium Abstract

Recent advancements in artificial intelligence (AI) technologies such as generative AI have sparked significant interest within the field of applied linguistics. Researchers across various subfields are exploring its potential applications, carefully evaluating both the opportunities it offers and the challenges it presents. In this colloquium experts on computational sociolinguistics, corpus linguistics, digital literacies, global Englishes, intercultural communication, language teaching, language assessment, and second language acquisition consider the ethical use and/or potential negative consequences of AI use in their area. Each colloquium paper draws upon the colloquium presenters’ contributions published in the latest issue of the Annual Review of Applied Linguistics (ARAL), focusing on relevant AI technologies and their intersections with applied linguistics. In their work, the authors explored the role of AI through theoretical analysis, empirical research, or systematic review, taking a critical lens to identify constructive and effective pathways for applying AI in applied linguistics.

The colloquium will open with a brief introduction by the conveners, followed by nine 10-minute presentations. Each contribution will conclude with the speakers reflecting on the potential applications, promises, and challenges of AI based on their research. The event will end with an open discussion between the audience and the panelists.


Developing and assessing second language listening and speaking: Does AI make it better?

Christine Goh
Vahid Aryadoust


NLP-powered quantitative verification of the English Grammar Profile’s structure level assignment

Daniela Verratti-Souto
Nelly Sagirov
Xiaobin Chen


The capacity of ChatGPT-4 for L2 writing assessment: A closer look at accuracy, specificity, and relevance

Aysel Saricaoglu, Social Sciences University of Ankara
Zeynep Bilki, TED University


Automatic scoring of a German written elicited imitation test

Anastasia Drackert
Ronja Laarmann-Quante


Ethical AI for language assessment: Principles, considerations and emerging tensions

Carla Pastorino Campos
Evelina Galaczi


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