“We already see PhD students using AI to improve the language and structure of their texts. This can provide valuable support, especially for those who don’t have English as their first language. But it may also mean that important training moments are lost,” says Katarina Sperling.
She also cautions that academic writing could become more uniform and less nuanced if researchers rely too heavily on AI, reducing the diversity of voices in scholarly work.
“AI is not just a tool; it is also a question of power – and we don’t have the full picture of what these large tech companies that have these technologies want from us. We need to talk about what this means for our understanding of knowledge and research,” says Katarina Sperling.