Introduction published In:
Australian Review of Applied Linguistics: Online-First ArticlesIntroduction
Decolonizing or recolonizing?
AI through the eyes of applied linguists, language teachers, and language learners
This article is available free of charge.
References (8)
Bogachenko, T., Burke, R., Gong, Q., Zhang, Y. (2024). The
use of Google Translate for language learning in emergency forced displacement contexts: Ukrainian adult learners of English
in
Australia. ARAL,
47
(3). 
Carbajal-Carrera, B. (2024). AIsplaining:
Generative AI explains linguistic identities to
me. ARAL,
47
(3).
Cheung, E., & Shi, H. (2024). Co-creating
Stories with Generative AI: A Case Study of an Undergraduate Digital Storytelling Service-Learning Subject in Hong
Kong. ARAL,
47
(3).
Luccioni, A. S., & Viviano, J. D. (2021). What’s
in the box? a preliminary analysis of undesirable content in the common crawl corpus. arXiv
preprint, arXiv:2105.02732.
Stewart, N., & Zheng, Y. (2024). Generative
AI’s recolonization of EFL classrooms The case of continuation
writing. ARAL,
47
(3).
Tankosić, A., Malik, E., Steele, C., Dobinson, T. (2024). Meeting
Standards: (Re)colonial and subversive potential of AI
modification. ARAL,
47
(3).
Tran, H., & Stell, A. (2024). Beyond
borders or building new walls? The potential for Generative AI in recolonising the learning of Vietnamese dialects and
Mandarin
varieties. ARAL,
47
(3).
Zhang, Y., Li, Y., Cui, L., Cai, D., Liu, L., Fu, T., … & Shi, S. (2023). Siren’s
song in the AI ocean: a survey on hallucination in large language models. arXiv preprint,
arXiv:2309.01219.