When using AI for writing, how can we ensure that every part of the paper is clear and easy to understand?

Employing AI tools while maintaining clarity throughout academic papers requires strategic human oversight to structure and refine machine-generated content. The process is feasible with diligent integration of authorial judgment and linguistic revision. Authors should explicitly define logical flow and argumentative signposting before drafting. AI outputs necessitate adaptation to plain language conventions: eliminating jargon where possible, clarifying complex terms, and ensuring consistent terminology. Every section must explicitly link to the core thesis, using transitions to enhance coherence. Crucially, human editors must verify conciseness and contextual relevance sentence-by-sentence. Implement clarity systematically. First, use AI with detailed prompts specifying section purpose and desired simplicity. Second, critically edit each generated segment for logical gaps, ambiguous phrasing, and readability issues; prioritize active voice and strong verbs. Third, validate coherence via reverse outlining post-drafting to confirm alignment with the intended argument progression. Finally, seek peer feedback targeting comprehension difficulties, iterating edits accordingly.