In “Who is responsible when AI helps write science?”, Braun addresses a question that researchers across disciplines are increasingly facing in their everyday work: when does the use of generative AI in research constitute responsible academic practice?
As AI becomes increasingly integrated into searching, analysing, writing and revising research, stating that “AI was used” is no longer enough. In his essay for Nature, Braun proposes the CRediT-AI framework as a practical approach: make AI involvement transparent, specify where it has shaped human contributions, and keep responsibility for scientific claims firmly with human researchers.
“GenAI has shed fresh light on authorship and the infrastructures through which written work is evaluated and credited to become scholarship. That visibility should not be seen as a problem to be suppressed, but as an opening for negotiation over the future conditions of scholarly life”, Braun argues in his paper.