Sovereignty, Collaboration, and Capability: Three Dilemmas and a Transformation Framework for Sci-Tech Journal Editors in the Digital-Intelligence Era

Abstract

Abstract: As generative artificial intelligence (AIGC) is increasingly integrated into publishing workflows, sci-tech journal editors face practical difficulties including unclear professional roles, pressure for skill restructuring, academic integrity challenges, and lack of organizational support. Based on existing research and editorial practice, this paper analyzes the difficulties editors encounter in role perception, competency structure, ethical supervision, and governance mechanisms during AI adoption. Drawing on case studies and survey data, it proposes a transformation framework centered on "sovereignty–collaboration–capability." Sci-tech journal editors need to clarify their roles, strengthen human–machine collaboration, and keep updating their skills under AI empowerment. Through workflow improvement and organizational support, they can shift from being "text processors" to "compound knowledge service providers," and help drive sci-tech journals toward higher efficiency and rigor.