University AI Policy Tracker

Open, evidence-backed AI policy records for public reuse.

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China Medical University

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Review: Agent reviewedLast checkedMay 17, 2026Last changedMay 17, 2026Claims5Sources3
University pagePublic JSON

Change summary

Current public record freshness and review state.

China Medical University currently has 5 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 17, 2026.

This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

China Medical University current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+10-0
11 # China Medical University AI policy record
2+privacy: China Medical University's Academic Affairs guidance cautions teachers and students to pay attention to privacy and information security and avoid entering personal or other people's private information into generative AI tools.
3+Evidence (zh-Hant, d21348b87fb3): 將「生成式AI」用於教學或學習時，師生應留意個人隱私與資訊安全，避免在「生成式AI」中輸入自己或他人之隱私資訊，以降低個人資訊外洩的風險。
4+teaching: China Medical University's Academic Affairs generative AI teaching guidance asks instructors to communicate with students about course-specific ways and limits for using generative AI.
5+Evidence (zh-Hant, d21348b87fb3): 明確使用原則：教師應與學生溝通課程使用「生成式AI」的方式和限制，確定使用的範疇、場景和目的，以避免爭議。
6+academic_integrity: China Medical University's Academic Affairs guidance tells teachers and students to consider academic-ethics concerns before using generative AI and to avoid plagiarism and copyright violations in assignments, exams, and research papers.
7+Evidence (zh-Hant, d21348b87fb3): 師生使用任何「生成式AI」工具前，應考量是否有違反學術倫理的疑慮。學術誠信是學習評量的基礎，所有作業、考試、研究論文必須遵守學倫理規範，勿抄襲，避免觸犯著作權法。
8+research: 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.
9+Evidence (zh-Hant, f6be8ca5f413): 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。
10+source_status: Official China Medical University sources include public generative-AI guidance from Academic Affairs, Research and Development, and the Teacher Development Center; these sources support staged AI-policy extraction but should be read as guidance/context unless the source itself states a binding rule.
11+Evidence (zh-Hant, fe2f25bd899c): 鼓勵教師將其視為精進教學的契機，因應新工具的發展適時調整課程規劃...並在應用AI 工具以提升教學成效的同時，確保學術誠信與法律合規性；學生端也應瞭解 AI 工具之使用限制。

Claim changes

5 claim records

source_status

Official China Medical University sources include public generative-AI guidance from Academic Affairs, Research and Development, and the Teacher Development Center; these sources support staged AI-policy extraction but should be read as guidance/context unless the source itself states a binding rule.

Review: Agent reviewedConfidence82%Evidence1Languageszh-Hant

research

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.

Review: Agent reviewedConfidence88%Evidence1Languageszh-Hant

privacy

China Medical University's Academic Affairs guidance cautions teachers and students to pay attention to privacy and information security and avoid entering personal or other people's private information into generative AI tools.

Review: Agent reviewedConfidence91%Evidence1Languageszh-Hant

academic_integrity

China Medical University's Academic Affairs guidance tells teachers and students to consider academic-ethics concerns before using generative AI and to avoid plagiarism and copyright violations in assignments, exams, and research papers.

Review: Agent reviewedConfidence90%Evidence1Languageszh-Hant

teaching

China Medical University's Academic Affairs generative AI teaching guidance asks instructors to communicate with students about course-specific ways and limits for using generative AI.

Review: Agent reviewedConfidence90%Evidence1Languageszh-Hant

Source snapshots

3 source attributions

【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

official_guidance checked May 17, 2026

Snapshot hash
f6be8ca5f4135be2f243b4e1a1218e0ba5fe7b4836bb170065b6ee86f731fafa

AI 學術倫理 | 中國醫藥大學教師發展中心

official_guidance checked May 17, 2026

Snapshot hash
fe2f25bd899ccac6085a2d57c9174a9800c9a23afddf4e80e556e371b2024dcf