AI-Languages 2025 : Shifting Power in Language Learning and Applied Linguistics with GenAI

Dear all

You are warmly invited to submit an abstract to the Shifting Power in Language Learning and Applied Linguistics with GenAI conference, which will take place in Milton Keynes, UK and online on November 13-14, 2025.


This conference will explore how power is being shifted towards, away from, and between learners and educators by AI technologies, and the new dynamic and potential changes this is bringing about in applied linguistics, languages and cultures studies. Potential topics for the papers may include, but are not limited to:

AI and its impact on the training and evolving roles of languages and applied linguistics educators and their relationships with learners
AI and its potential to support inclusive and personalised learning in languages and applied linguistics;
AI integration into learning, teaching and assessment of languages, cultures and applied linguistics with a focus on ethical issues and sustainability challenges;
Core concepts and theoretical frameworks guiding the integration of AI in applied linguistics;
Core concepts and theoretical frameworks guiding the integration of AI in the learning and teaching of languages and cultures;
Questions around the use of AI in carrying out research in languages, cultures and applied linguistics, and its impact on research processes and outputs.


Instructions for submission
We welcome submissions in the following formats:

20-minute presentations (online or in person)
40-minute facilitated discussions with up to 3 facilitators (online or in person)

Proposals should be submitted via email, by May 31st, 2025: [email protected]
The following information will be requested during the submission process:

Names, titles, contact info, institutional or organisational affiliation and short bio (max 100 words) for each presenter and facilitator
Conference topic (selected from the list above)
Session format (selected from the list above)
Title of the abstract
Abstract (max. 300 words)