11 # National Cheng Kung University (NCKU) AI policy record
2+academic_integrity: NCKU academic-integrity guidance says faculty, students, and researchers should verify generative-AI outputs, and that using generative AI for plagiarism, fabrication, or falsification breaches academic integrity; students should follow course rules and should not submit AI-generated content as their own without permission.
3+Evidence (zh-Hant, d1f3c57b629d): 師生及研究人員使用生成式 AI 輔助生成之內容,應謹慎查驗其準確性...不允許任何使用生成式 AI 剽竊、偽造、變造數據、圖表等違反學術誠信行為。學生於學習過程中,應遵循教師在課程中關於使用生成式 AI 之規則,未經允許,不應將其生成之內容...作為自己之作業、報告、創作、展演及論文等提交。
4+research: NCKU guidance says faculty, students, and researchers using generative AI in research should work to ensure reproducibility and stability of research results and appropriately disclose the AI tool name, version, date, and method of use.
5+Evidence (zh-Hant, d1f3c57b629d): 師生及研究人員應致力於確保研究結果和結論之可重複性與穩定性,並於研究中適當揭露 AI 工具的參與程度,如:工具名稱、版本、日期及使用方法,以利他人理解及評估研究之可靠性。
6+privacy: NCKU guidance tells faculty, students, and researchers not to provide unpublished research or sensitive content to generative AI, notes that shared data may be retained as training data, and says generative AI should be avoided in confidential research activities such as peer review or research-proposal review.
7+Evidence (zh-Hant, d1f3c57b629d): 切勿將未發表之研究或機敏內容提供給生成式 AI,並應了解任何與生成式 AI 共享之資料,都可能被收錄於訓練資料庫中...在具保密義務之研究活動中(如:同儕審查、研究計畫審查),應避免使用生成式 AI,以免影響他人或組織之權益。
8+research: NCKU guidance says generative AI can assist with brainstorming, literature review, and manuscript polishing, but cannot replace critical thinking, decision-making, or interpretation; generative AI cannot be listed as an author or co-author, and the author/user remains fully responsible for the work.
9+Evidence (zh-Hant, d1f3c57b629d): 生成式 AI 可以協助發想議題、查閱文獻、潤飾文稿等,但不能取代師生及研究者進行批判性思考、決策和結果詮釋...生成式 AI 不能作為作者或共同作者...即使研究中的部分內容是由生成式 AI 工具生成,研究人員也應對其研究負全部責任。
10+research: NCKU guidance says generative-AI acceptance, use, and ethical considerations differ by discipline; faculty, students, and researchers should respect disciplinary differences and confirm a target journal's generative-AI policy before submission.
11+Evidence (zh-Hant, d1f3c57b629d): 不同學科領域對於生成式 AI 之接受程度、使用方式及倫理考量皆有所不同,仍需學術社群自主性的規範...師生及研究人員於投稿前,務必確認該投稿期刊之生成式 AI 政策,以符合該學術社群之要求。