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guideline cautions that content entered into GAI may be recorded and used for training, and advises users not to input unpublished documents or personal information unless necessary.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
Change log
National Taiwan Normal University (NTNU)
Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.
Change summary
Current public record freshness and review state.
National Taiwan Normal University (NTNU) currently has 5 source-backed claim records and 1 official source attribution. Latest tracked changed date: May 16, 2026. No tracker diff rows are recorded in the latest public release.
This page combines all public release diffs for National Taiwan Normal University (NTNU). Individual release snapshots remain available from their release-specific URLs.
No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.
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.
Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.
Diff categories
Semantic classification for this release diff.
Combined release diff
Unified tracker diff generated from all public release snapshots for this university.
National Taiwan Normal University (NTNU) combined release diff
Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.
+10-0
11 # National Taiwan Normal University (NTNU) AI policy record
2+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guideline cautions that content entered into GAI may be recorded and used for training, and advises users not to input unpublished documents or personal information unless necessary.
3+Evidence (zh-Hant, dc340ab79709): 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。
4+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.
5+Evidence (zh-Hant, dc340ab79709): 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。
6+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.
7+Evidence (zh-Hant, dc340ab79709): 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。
8+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.
9+Evidence (zh-Hant, dc340ab79709): 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。
10+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.
11+Evidence (zh-Hant, dc340ab79709): 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。
Release history
0 public release diffs
Claim changes
5 claim records
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
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
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
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
Source snapshots
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
official_guidance Tracker checked at May 16, 2026, 4:00 PM