Thematic Tracks

Contributions examining:

• asymmetries in access to AI tools and their academic effects in language and cultural education;
• issues of equity in AI use for second/additional language learners in minority contexts;
• the accessibility of AI for learners facing socio-economic challenges;
  biases embedded in generative models;
• linguistic and logical standardization and its implications;
• unintended consequences of AI systems’ linguistic assumptions (e.g., reading level,
• vocabulary, grammar, pragmatics) for language learners;
• the effects of platform-based economic logics on educational equity.

Studies addressing:

• the impact on learners’ and/or teachers’ critical thinking, linguistic and cultural repertoires, identity, and agency;
• the impact on learners’ and/or teachers’ sense of authorship and intellectual responsibility in situations of textual co-production;
• the impact on learners’ and/or teachers’ motivation and sense of linguistic and cultural competence;
• transformations in learners’ and/or teachers’ epistemic, ideological, and psychological positioning;
• practices of cognitive delegation and the conditions under which they emerge;
• immediate and long-term consequences of sustained or intensive AI use in language learning;
• observable effects on argumentative structuring and processes of formulation.

Contributions seeking to clarify:

• the competencies required to analyze probabilistic biases and constraints;
• pedagogical frameworks aimed at preserving cognitive autonomy;
• theoretical frameworks articulating power, identity, and digital infrastructure;
• curricular proposals integrating the critical analysis of generative AI;
• the integration of critical algorithmic literacy (CAL) into teacher education and language curricula;
• implications for the revision of language teaching curricula in light of generative AI.

Particular attention will be given to Indigenous languages and knowledge systems, not only as contexts of application, but as frameworks that challenge current approaches to AI, language, and cultural preservation.

This track examines:

• the role of AI in the documentation, teaching, and revitalization of Indigenous languages;
• community-based and culturally grounded approaches;
• the mobilization of Indigenous knowledge systems;
• the ways in which dominant models of language, data, and technology are challenged;
• issues of data sovereignty;
• practices of ethical collaboration with communities;
• the co-design of AI tools aligned with community priorities and needs.