As AI becomes standard in many classrooms, ELT professionals are debating questions of authorship, student autonomy, and whether AI-generated content undermines learning. Here's a balanced overview.
The rapid adoption of AI in English language teaching has opened up genuine pedagogical opportunities — but it has also raised questions that the profession hasn't fully answered yet. Questions about authorship, about the nature of language learning, and about what we owe our students when we bring these tools into the classroom.
The most immediate concern is authenticity. Language learning requires practice — and practice requires effort. When AI generates a writing task and then also provides a model answer, are students actually engaging with the language, or are they becoming skilled at operating a machine? Many teachers argue that the skill of prompting AI is itself a form of language use. Others aren't so sure.
Then there's the question of data and privacy. Most mainstream AI tools — ChatGPT, Claude, Gemini — are cloud-based, which means student interactions and data may be stored and processed by third parties. Before using these tools in class, teachers should check their institution's data protection policy and, where relevant, obtain appropriate consent.
There are also equity concerns. AI tools are unevenly distributed. Students with reliable devices, fast internet, and premium subscriptions will get more out of these tools than those without. A classroom that assumes AI access may inadvertently disadvantage its most vulnerable learners.
None of this means AI should be avoided. But it does mean teachers need to approach it thoughtfully. The most ethical use of AI in ELT is transparent: telling students when and how you're using it, teaching them to evaluate AI output critically, and making sure the technology serves learning rather than replacing it.
