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#generative ai Review Open access

The invisible editor: operationalizing ‘meaningful human oversight’ in artificial intelligence–mediated workflows

Unknown authors
Sep 2026 · European Science Editing · 0 citations

TL;DR

This Viewpoint presents that opaque editorial AI use risks ‘semantic drift,’ a condition in which algorithmic processing compromises the epistemic integrity of the scientific record.

Abstract

Scholarly publishing is undergoing a significant structural transition: progressive del-egation of editorial judgement to algorithmic systems. While the debate has focused on authors’ use of generative artificial intelligence (AI), the undisclosed use of AI by editorial intermediaries – specifically in the copyediting and peer review triage stages – has received less attention. This Viewpoint presents that opaque editorial AI use risks ‘semantic drift,’ a condition in which algorithmic processing compromises the epistemic integrity of the scientific record. In response, the integrated transparency protocol is proposed, a risk-based disclosure framework that operationalizes mean-ingful human oversight to ensure editorial responsibility remains with humans.

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