Taichung, Taiwan

China Medical University

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Reviewed record

Reviewed claims

5 reviewed claims

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%

Normalized value: avoid_private_information_in_genai_tools

Original evidence

Evidence 1
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。

Localized display only

When using generative AI for teaching or learning, teachers and students should pay attention to privacy and information security and avoid entering private information into generative AI.

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%

Normalized value: instructor_course_ai_limits_guidance

Original evidence

Evidence 1
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。

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Instructors are asked to communicate course-specific ways, limits, scope, scenarios, and purposes for using generative AI.

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%

Normalized value: academic_integrity_caution_for_genai_use

Original evidence

Evidence 1
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。

Localized display only

Teachers and students should consider academic-ethics concerns before using generative AI; assignments, exams, and research papers should follow academic ethics, avoid plagiarism, and avoid copyright violations.

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%

Normalized value: research_genai_auxiliary_verification_disclosure_responsibility

Original evidence

Evidence 1
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。

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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.

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%

Normalized value: official_genai_guidance_sources_found

Original evidence

Evidence 1
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。

Localized display only

The Teacher Development Center page frames AI as a teaching-development issue while emphasizing academic integrity, legal compliance, and student understanding of AI tool limitations.

Source record

Official sources

3 sources

Record information, JSON & citation
Reviewagent reviewedConfidence91%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "China Medical University AI Policy Tracker record." Last checked May 17, 2026. https://eduaipolicy.org/universities/china-medical-university

Original university source language remains canonical. This tracker is not an official university statement.

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