Authors - Keerin Nopanitaya, Luo Xiaoyu, Zhu Chunping, Pratya Nuankaew Abstract - This study examines Generative AI use and ethical guidelines in graduate education at Payap University, Thailand. As large language models increasingly support learning, research, and academic writing, they boost efficiency but raise concerns about accuracy, transparency, and integrity. Using mixed methods, the study gathered questionnaire data and conducted interviews and focus groups with master’s and doctoral students. Results show broad AI use for literature reviews, writing, idea generation, and research, with more advanced use expected to grow. While students report moderate to high skills, many lack strong critical evaluation of AI outputs and practical understanding of ethics. Consistent with international research, key risks stem from limited AI literacy, unclear disclosure, and lack of oversight rather than the technology itself. The study recommends developing an AI literacy framework, clear disclosure standards, and process evaluation for ethical, responsible AI integration while protecting academic quality and integrity.
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