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Official source documents, page text, PDFs, and other source materials retain their original rights and terms."}}]},{"id":"claim-cmu-research-genai-responsible-use","entitySlug":"china-medical-university","entityType":"university","claimType":"research","claimText":"China Medical University's R&D reference guidance frames generative AI as a research-assistance tool and says researchers should verify AI-generated content, understand related policies, disclose use where required, and remain responsible for research outputs.","claimValue":"research_genai_auxiliary_verification_disclosure_responsibility","confidence":0.88,"reviewState":"agent_reviewed","lastCheckedAt":"2026-05-17T01:32:52.000Z","lastChangedAt":"2026-05-17T01:35:30.000Z","evidence":[{"id":"ev-cmu-research-genai-responsible-use","sourceUrl":"https://cmurdc.cmu.edu.tw/news_detail.php?sn=2360","sourceLanguage":"zh-Hant","sourceSnapshotHash":"f6be8ca5f4135be2f243b4e1a1218e0ba5fe7b4836bb170065b6ee86f731fafa","evidenceSnippet":"研究者在使用生成式AI時，應將其定位為輔助工具，切勿過度依賴或全然接受其產出的內容...研究者必須對AI生成的論述抱持審慎態度，務必親自查核相關資訊的正確性、可靠性與時效性。","evidenceSnippetDisplay":"Researchers are told to treat generative AI as an auxiliary tool rather than over-rely on its output, and to personally verify AI-generated content for correctness, reliability, and timeliness.","snippetLocation":"一、強調原創性知識的建構; 二、嚴格驗證AI生成內容的準確性與時效性","retrievedAt":"2026-05-17T01:32:52.000Z","attribution":{"id":"ss-cmu-rdc-generative-ai-research","sourceUrl":"https://cmurdc.cmu.edu.tw/news_detail.php?sn=2360","finalUrl":"https://cmurdc.cmu.edu.tw/news_detail.php?sn=2360","citationTitle":"【重要宣導】中國醫藥大學 生成式人工智慧應用於學術研究之參考指引","publisher":"China Medical University Research and Development Office","retrievedAt":"2026-05-17T01:32:52.000Z","snapshotHash":"f6be8ca5f4135be2f243b4e1a1218e0ba5fe7b4836bb170065b6ee86f731fafa","sourceType":"official_policy_page","official":true,"sourceRights":"Tracker metadata is open licensed. 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