How to conduct structured editing in papers through AI?

AI-assisted structured editing involves using artificial intelligence tools to systematically refine and improve scholarly writing. These tools analyze manuscripts, detect issues, and provide targeted recommendations for enhancement. Key principles include leveraging natural language processing to evaluate logical flow, coherence, and adherence to disciplinary conventions. AI identifies inconsistencies, grammatical errors, and structural weaknesses while suggesting improvements. This requires clear input text and predefined editing goals. Crucially, AI recommendations necessitate human validation to ensure accuracy and context-appropriateness, as AI cannot replace scholarly judgment regarding argumentation or originality. Implementation begins with uploading text to specialized AI platforms. The system assesses organization, clarity, and formatting, generating reports highlighting passive voice, redundant phrases, or unclear transitions. Authors review these diagnostics, accept or reject suggestions, and iteratively revise. This approach is particularly valuable for early drafting or final polishing of research articles, theses, and grant proposals, significantly enhancing efficiency while ensuring consistent quality and readability across complex documents.