Can AI help me improve the reliability of my thesis?

AI can enhance thesis reliability through specific assistance, though human oversight remains essential. It functions as a support tool, not an autonomous guarantor of rigor. AI tools offer capabilities in identifying statistical inconsistencies, checking for plagiarism, and suggesting structural improvements. Their effectiveness depends critically on the researcher's rigorous design, provision of high-quality data, and appropriate tool selection aligned with academic standards. Validation against authoritative sources and expert knowledge is mandatory, as AI can generate plausible but incorrect information. Ethical use requires transparency regarding AI contributions and strict adherence to institutional guidelines. AI contributes to reliability primarily in application support and analytical validation phases. It can uncover potential flaws in methodology or data interpretation, verify citations, ensure adherence to formatting guidelines to reduce administrative errors, and screen for unintentional plagiarism. This allows researchers to focus critical efforts on strengthening core argumentation and theoretical grounding, ultimately supporting scholarly robustness when integrated responsibly into the research workflow.