How can we ensure that the content of AI-assisted writing meets the requirements of the journal?

Ensuring AI-assisted writing meets journal requirements requires a multidisciplinary approach combining technology supervision with scholarly diligence. The feasibility hinges on rigorous human oversight and strategic integration of AI tools within ethical frameworks. Journal compliance necessitates adherence to core academic principles: human authors must verify all AI-generated content for factual accuracy, conceptual soundness, and logical coherence. Full transparency regarding AI's role in manuscript preparation must be declared, typically within methods or acknowledgments sections, as stipulated by the publisher's author guidelines. Strict plagiarism checks using specialized software (e.g., Turnitin, iThenticate) are mandatory to ensure originality, alongside meticulous citation of sources. Crucially, the final work must reflect the submitting researcher's intellectual ownership and mastery of the subject, with AI serving as an aid, not a substitute. Practical implementation involves three key stages: First, researchers utilize AI for preliminary drafting or editing while maintaining direct control over research design, data interpretation, and argument structure. Second, human authors critically revise AI output for discipline-specific nuance, methodological rigor, and alignment with the target journal's scope and style requirements. Finally, authors employ journal-specific checklists to confirm adherence to ethical standards, disclosure policies, formatting, and data availability mandates before submission. This process ensures AI augmentation enhances productivity without compromising scholarly integrity or violating publication ethics.