Taichung, Taiwan

China Medical University

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Reviewed record

已审核主张

5 reviewed claims

隐私

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.

审核: 智能体已审核置信度91%

标准化值: avoid_private_information_in_genai_tools

原始证据

证据 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。

本地化显示 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.

教学

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.

审核: 智能体已审核置信度90%

标准化值: instructor_course_ai_limits_guidance

原始证据

证据 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。

本地化显示 only

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.

审核: 智能体已审核置信度90%

标准化值: academic_integrity_caution_for_genai_use

原始证据

证据 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。

本地化显示 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.

研究

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.

审核: 智能体已审核置信度88%

标准化值: research_genai_auxiliary_verification_disclosure_responsibility

原始证据

证据 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。

本地化显示 only

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.

审核: 智能体已审核置信度82%

标准化值: official_genai_guidance_sources_found

原始证据

证据 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。

本地化显示 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

官方来源

3 sources

Record information, JSON & citation
审核agent reviewed置信度91%Snapshot status未发布JSON公开 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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