How to use AI-assisted writing to improve the overall quality of a thesis?

AI-assisted writing can enhance thesis quality when implemented strategically. Its feasibility stems from tools' ability to augment human capabilities in ideation, drafting, and revision across diverse writing stages. Essential principles include maintaining human authorship for critical argument development, data interpretation, and disciplinary insight. Researchers must rigorously validate AI-generated content for accuracy and scholarly rigor, particularly concerning citations and source integration. Appropriate tools depend on the task, such as using generative models for brainstorming outlines but specialized software for grammar and plagiarism checks. Crucially, ethical adherence to institutional guidelines prohibiting AI as the primary author is non-negotiable, ensuring transparency about its use remains paramount. Practical implementation involves distinct steps. Begin by employing generative AI for refining research questions and structuring outlines. During drafting, use AI for paraphrasing awkward sentences, suggesting alternative phrases, and identifying basic logical gaps. Finally, leverage specialized editing tools to strengthen coherence, formalize language, and correct technical errors like citation formats. This focused application streamlines time-intensive editing, enabling deeper engagement with substantive research contributions while improving overall readability and scholarly presentation.