Policy presence
National Yang Ming Chiao Tung University (NYCU Taiwan) has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Hsinchu City, Taiwan
National Yang Ming Chiao Tung University (NYCU Taiwan)
National Yang Ming Chiao Tung University (NYCU Taiwan) is listed as QS 2026 rank =199. National Yang Ming Chiao Tung University (NYCU Taiwan) has 5 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
National Yang Ming Chiao Tung University (NYCU Taiwan) is listed as QS 2026 rank =199. National Yang Ming Chiao Tung University (NYCU Taiwan) has 5 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists National Yang Ming Chiao Tung University (NYCU Taiwan) as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/national-yang-ming-chiao-tung-university.json. The entity-level confidence is 96%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Source status claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Research claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
National Yang Ming Chiao Tung University (NYCU Taiwan) has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
National Yang Ming Chiao Tung University (NYCU Taiwan) has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
National Yang Ming Chiao Tung University (NYCU Taiwan) has 2 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
National Yang Ming Chiao Tung University (NYCU Taiwan) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
National Yang Ming Chiao Tung University (NYCU Taiwan) has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
National Yang Ming Chiao Tung University (NYCU Taiwan) has 2 source-backed public claims for named ai services; deterministic analysis status: unclear.
Teaching guidance
National Yang Ming Chiao Tung University (NYCU Taiwan) has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
National Yang Ming Chiao Tung University (NYCU Taiwan) has 2 source-backed public claims 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.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
5 reviewed evidence-backed public claim
Source Status
NYCU's Academic Ethics and Research Integrity Office maintains an official page listing three university GenAI documents: a basic-position and teaching statement, teacher teaching suggestions, and research-use reference guidelines.
Review: Agent reviewed
Normalized value: official_oaeri_genai_statement_teaching_research_documents
Original evidence
Evidence 1本校因應生成式AI之聲明、建議與指引 根據國立陽明交通大學112年5月24日陽明交大學倫信字第1120018627號書函發布 國立陽明交通大學對生成式AI之基本立場及應用於教學之聲明 國立陽明交通大學教師應用生成式AI之教學建議 國立陽明交通大學生成式AI用於學術研究之參考指引
Localized display only
NYCU's OAERI page says the GenAI statement, teacher teaching suggestions, and research-use reference guidelines were issued under a May 24, 2023 NYCU letter.
Privacy
NYCU's GenAI statement tells teachers and students to pay attention to privacy and information security when using GenAI for teaching or learning, and to avoid entering their own or others' private information.
Review: Agent reviewed
Normalized value: avoid_entering_private_information_into_genai
Original evidence
Evidence 1（二）留意隱私權與資訊安全 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
The statement tells teachers and students to pay attention to privacy and information security and avoid entering their own or others' private information into GenAI.
Teaching
NYCU's teacher guidance recommends that course syllabi state GenAI use rules so students know whether AI may be used as a learning or assignment-completion aid and how that use affects grading.
Review: Agent reviewed
Normalized value: course_syllabus_should_state_genai_use_rules
Original evidence
Evidence 1教師於撰寫課程大綱時，除了清楚敘明學習目標與作業評量方式外，建議聲明生成式 AI 的使用規範，讓學生知悉課程是否可以利用生成式 AI 作為輔助學習工具，或者協助作業內容之完成，以及應用生成式 AI 對教師評量學生作業成績之影響。
Localized display only
The teacher guidance recommends that syllabi state GenAI use rules so students know whether AI can be used as a learning or assignment aid and how AI use affects grading.
Ai Tool Treatment
NYCU's basic GenAI statement says the university takes an open and inclusive attitude toward emerging technology while reminding teachers and students to consider related ethical and legal issues.
Review: Agent reviewed
Normalized value: open_inclusive_with_ethics_legal_cautions
Original evidence
Evidence 1人工智慧技術的發展及應用是未來趨勢，國立陽明交通大學（以下簡稱本校）作為頂尖研究型大學之一，具備電機、資訊、生物醫學等跨領域研發優勢，鼓勵師生積極進行前瞻性的研究及技術開發，但仍須提醒師生同時關注相關倫理及法律議題，故對生成式 AI 工具（如 ChatGPT）於大學教與學的影響，特提出如下之基本立場與建議。 （一）秉持開放、包容的態度看待新興科技
Localized display only
The statement frames AI development as a future trend, encourages forward-looking research and development, reminds teachers and students to consider ethical and legal issues, and says NYCU takes an open, inclusive attitude toward emerging technology.
Research
NYCU's research-use reference guidelines tell researchers not to over-rely on or fully accept GenAI output, to verify AI-generated arguments, and to disclose GenAI assistance when required by research, funder, journal, or conference policies.
Review: Agent reviewed
Normalized value: verify_ai_output_avoid_overreliance_disclose_when_required
Original evidence
Evidence 1故勿過度仰賴或全盤接受生成式 AI 產出之內容。 AI 生成的內容基於各種編解碼過程或是機率統計的組合，並非來自對原始資料的深入研究或邏輯推理的結果，且目前生成式 AI 生成之內容尚未能清楚註明資料來源，故研究者需要對其論述進行查證，以確保其內容正確性。 而以應用生成式 AI 作為輔助研究，應先瞭解學術研究機構、經費補助機關（構）、期刊及研討會等對生成式 AI 發布之相關政策，並於計畫補助申請及學術成果發表時，適當公開相關訊息
Localized display only
The research guidance says not to over-rely on or fully accept GenAI output, to verify AI-generated arguments because sources may be unclear, and to disclose relevant information when required by institutional, funder, journal, or conference policies.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
4 source attribution
國立陽明交通大學對生成式 AI 之基本立場及應用於教學之聲明
oaeri.nycu.edu.tw
國立陽明交通大學教師應用生成式 AI 之教學建議
nycu.edu.tw
國立陽明交通大學生成式 AI 用於學術研究之參考指引
nycu.edu.tw
本校因應生成式AI之聲明、建議與指引
oaeri.nycu.edu.tw
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.