Policy presence
National Taiwan Normal University (NTNU) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Taipei City, Taiwan
National Taiwan Normal University (NTNU)
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
National Taiwan Normal University (NTNU) has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
National Taiwan Normal University (NTNU) has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
National Taiwan Normal University (NTNU) has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
National Taiwan Normal University (NTNU) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: conditionally_allowed.
Academic integrity
National Taiwan Normal University (NTNU) has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
Approved tools
National Taiwan Normal University (NTNU) has 1 source-backed public claim for approved tools; deterministic analysis status: conditionally_allowed.
Named AI services
National Taiwan Normal University (NTNU) has 2 source-backed public claims for named ai services; deterministic analysis status: conditionally_allowed.
Teaching guidance
National Taiwan Normal University (NTNU) has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
National Taiwan Normal University (NTNU) has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
Evidence-backed claims
5 reviewed evidence-backed public claim
Privacy
NTNU's guideline cautions that content entered into GAI may be recorded and used for training, and advises users not to input unpublished documents or personal information unless necessary.
Review: Agent reviewed
Normalized value: avoid_unnecessary_private_or_unpublished_inputs
Original evidence
Evidence 1由於輸入至 GAI 的內容可能會被紀錄並加以學習應用，故使用時須謹慎確認，非必要時請勿將未公開文件、個人訊息等資料輸入至對話框內。
Localized display only
The guideline warns that GAI inputs may be recorded and used for learning/training, so users should avoid unnecessary input of unpublished documents or personal information.
Academic Integrity
NTNU's guideline says users should appropriately disclose GAI use in reports, academic works, music, art, or image creation, including the tool name, use method, and AI role.
Review: Agent reviewed
Normalized value: gai_use_disclosure_expected
Original evidence
Evidence 1凡於報告撰寫、學術著作、音樂、畫作或圖片創作等過程中使用 GAI 者，應進行適當之自我揭露，清楚說明人工智慧工具之使用情形，包括使用之工具名稱、使用方式及其在作品中所扮演之角色，並加以標註或說明。
Localized display only
Users should disclose GAI use in reports, academic works, music, art, or image creation, naming the tool, usage method, and AI role.
Ai Tool Treatment
NTNU's central generative-AI learning guideline frames GAI as an assistive tool for instructors, students, and administrative staff, while warning users to verify accuracy and avoid overreliance.
Review: Agent reviewed
Normalized value: assistive_tool_with_user_verification
Original evidence
Evidence 1若能善用 GAI，將大幅提升學習和工作效率，提供更高品質的教學研究內容，為生活帶來便利。但作為工具，亦有其限制，使用者依然必須針對正確性作嚴謹的把關確認，不宜過度依賴。
Localized display only
The guideline presents GAI as useful for learning and work, but as a limited tool whose outputs require careful accuracy checks and should not be over-relied on.
Teaching
For assessment design, NTNU's guideline advises instructors to consider new AI-suited standards and methods and to reach consensus with students when traditional assessments can be quickly completed or replaced by GAI.
Review: Agent reviewed
Normalized value: assessment_redesign_and_student_consensus_recommended
Original evidence
Evidence 1若傳統評量方式可被 GAI 快速完成或取代時，建議教師可思考新的、更符合運用 AI 學習的評量標準及方式，並與學生達成運用 AI 之共識。
Localized display only
When traditional assessments can be quickly completed or replaced by GAI, instructors are advised to consider new AI-suited standards and methods and reach consensus with students.
Source Status
Discovery found a central NTNU reference guideline for generative-AI learning applications, but not a separate formal binding university-wide AI policy; the central page encourages academic units to create discipline-specific GAI guidelines.
Review: Agent reviewed
Normalized value: central_reference_guideline_found_no_separate_formal_policy_found
Original evidence
Evidence 1鼓勵各教學單位（院、系所）依學門特性與課程需求，訂定專屬之 AI 使用指引，內容可涵蓋學術誠信、使用規範、自我揭露及倫理原則等事項。
Localized display only
The central reference guideline encourages academic units to create discipline-specific AI-use guidelines covering academic integrity, usage rules, disclosure, and ethics.
Candidate claims
0 machine or needs-review claim
Official sources
1 source attribution
國立臺灣師範大學 – 生成式AI之學習應用及參考指引
ctld.ntnu.edu.tw