How to generate abstracts and conclusions of academic papers through AI?

AI tools can generate initial drafts for academic paper abstracts and conclusions by analyzing submitted text and identifying key elements. This is feasible through natural language processing algorithms trained on scholarly writing. Effective generation relies heavily on providing high-quality input text (e.g., full papers or detailed outlines) encompassing the core research problem, methodology, key results, and implications. The AI identifies salient points and compiles them into structured summaries. However, the output remains a starting point requiring substantial human review for accuracy, coherence, adherence to journal guidelines, and integration of nuanced interpretations. Over-reliance without critical editing risks omissions or superficiality. Implement this by first preparing clear input text, emphasizing results and significance. Utilize specialized AI writing tools or platforms with academic templates. Input the relevant sections (Introduction, Methods, Results, Discussion for abstracts; all sections for conclusions). Critically edit the AI output: verify alignment with findings, enhance critical discussion, refine phrasing for clarity and impact, ensure originality, and check journal-specific requirements. Final human author verification is indispensable. This process aids drafting efficiency and structural consistency.