A framework that may help teachers reflect on how AI affects their teaching and their students is provided in this publication:
While the guidelines apply broadly to education, they are particularly relevant in foreign language teaching, where communication, identity and personal expression are central.
Core principles include
Human agency and oversight: AI should support – not replace – the teacher. In language learning, this is critical. Meaning-making, intercultural awareness and communicative competence cannot be reduced to automated outputs.
Transparency: students should understand when and how AI is being used. For example, if an AI tool provides feedback on writing, learners need clarity on what the system evaluates, and what it does not.
Fairness and inclusion: AI systems may reflect biases present in their training data. In L2 education, this can affect how language varieties, accents or cultural references are treated. Teachers must remain attentive to these limitations.
Data privacy and safety: Language tasks often involve personal expression. Using AI tools requires careful consideration of what student data is shared, stored or processed.
Pedagogical responsibility: AI should align with learning objectives, not drive them. The presence of a tool should never dictate instructional decisions.
From guidelines to practice
The portal includes reflective questions and practical scenarios that can help teachers:
- evaluate AI tools before using them in class
- design activities that integrate AI responsibly
- discuss AI use openly with students
- develop institutional approaches to AI governance
In future posts, we will explore concrete applications of AI in L2 classrooms having in mind the ethical principles formulated in the Guidelines.