Can AI tools help automatically generate the conclusion section of academic papers?

AI tools can assist in generating preliminary drafts of academic paper conclusions. However, full automation remains limited, as effective conclusions require deep scholarly insight and critical synthesis that current AI cannot fully replicate independently. Successful AI-assisted conclusion generation depends critically on the quality and structure of the input provided, such as the paper's full text or a detailed summary. These tools primarily utilize natural language processing to identify key findings and arguments. They require careful human oversight to ensure alignment with the research's core contributions and significance, verify factual accuracy, and remove potential hallucinations. The tools function best as drafting aids rather than replacements for authorial judgment. Users must rigorously edit and refine the AI output. Researchers can use AI tools to overcome initial drafting hurdles. Typical steps involve providing the AI with key sections (e.g., abstract, results, discussion) and specific instructions to synthesize findings, restate significance, and suggest limitations or future research. The author must then extensively revise this draft to ensure originality, academic depth, precision, and adherence to disciplinary norms, transforming it into a valid scholarly conclusion. This process offers efficiency but demands scholarly validation.