How can AI be used to assist in writing the conclusion section of an academic research report?

AI can assist in drafting the conclusion section of academic research reports by leveraging natural language processing to synthesize findings and suggest impactful final statements. It provides structured writing support, not autonomous authorship. Key considerations include maintaining intellectual integrity; AI-generated text must be thoroughly reviewed, fact-checked, and rewritten to reflect the researcher's authentic voice and critical thinking. Its scope covers summarization of results, rephrasing key arguments, and suggesting connections to broader implications, but it should never introduce new data. Crucially, it functions as an aid for refining expression and coherence, not for substituting original analysis. Researchers bear full responsibility for ensuring originality and avoiding plagiarism. To implement this, researchers should first input core findings and key discussion points into the AI tool. Subsequently, iteratively refine the AI's draft output by critically revising language, emphasizing the study's specific contribution, aligning arguments precisely with evidence, ensuring logical flow, and explicitly stating limitations and future research directions. The human researcher must substantively shape the final conclusion to ensure scholarly rigor, accurate representation of findings, and adherence to disciplinary conventions. The value lies in overcoming writer's block and improving clarity.