Much of the current attention on artificial intelligence (AI)-based natural language processing (NLP) systems has focused on research ethics and integrity but neglects their roles in the editorial and peer-reviewing process. We argue that the academic community needs to develop and apply a consistent end-to-end policy on the ethics and integrity of NLP in academic publishing: standards such as drafting requirements and disclosure criteria imposed on potential contributors should be consistently applied to the editorial and peer review process in academic publications.