Policy presence
National Tsing Hua University - NTHU has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Hsinchu City, Taiwan
National Tsing Hua University - NTHU
National Tsing Hua University - NTHU is listed as QS 2026 rank 176. National Tsing Hua University - NTHU has 8 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 Tsing Hua University - NTHU is listed as QS 2026 rank 176. National Tsing Hua University - NTHU has 8 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 Tsing Hua University - NTHU as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 8 source-backed claims, including 8 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-tsing-hua-university.json. The entity-level confidence is 94%. 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 Teaching claims.
- Evidence includes Academic integrity claims.
- Named AI services detected in public claims: ChatGPT.
- 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 Tsing Hua University - NTHU has 4 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
National Tsing Hua University - NTHU has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
National Tsing Hua University - NTHU has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
National Tsing Hua University - NTHU has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
National Tsing Hua University - NTHU has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Teaching guidance
National Tsing Hua University - NTHU has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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
8 reviewed evidence-backed public claim
Source Status
NTHU announced the Guidelines for Collaboration, Co-learning, and Cultivation of Artificial Intelligence Competencies in University Education on May 1, 2023 in response to generative AI tools including ChatGPT.
Review: Agent reviewed
Normalized value: announced_ai_education_guidelines_2023_05_01
Original evidence
Evidence 1In response to the advent of generative artificial intelligence (AI) chatbot ChatGPT, National Tsing Hua University (NTHU) in Taiwan announced on May 1st the Guidelines for Collaboration, Co-learning, and Cultivation of Artificial Intelligence Competencies in University Education.
Localized display only
NTHU says it announced the Guidelines for Collaboration, Co-learning, and Cultivation of Artificial Intelligence Competencies in University Education on May 1 in response to ChatGPT and generative AI.
Teaching
NTHU's Chinese AI collaboration and literacy guideline recommends that faculty and students use AI in educational settings transparently and responsibly, with instructors clearly stating course AI rules and both students and instructors honestly disclosing AI use when relevant.
Review: Agent reviewed
Normalized value: transparency_responsibility_course_rules_disclosure
Original evidence
Evidence 1我們建議本校師生在教育場域中使用各種人工智慧(artificial intelligence，以下簡稱AI，不限於生成式人工智能)產品時應抱持透明與負責的態度：透明：教師應明確指出課程對於使用AI的規範，學生與教師使用AI時應誠實揭露。負責：教師與學生應理解AI僅能作為素材提供的來源之一。
Localized display only
The Chinese guideline recommends that NTHU faculty and students use AI transparently and responsibly, with instructors stating course AI rules and both students and instructors disclosing AI use when relevant.
Academic Integrity
For educator teaching, NTHU's Chinese AI guideline says the university respects instructors' course AI-tool strategies and that instructors should state student AI-use rules in syllabi, especially correct AI citation and disclosure of the use process.
Review: Agent reviewed
Normalized value: instructors_state_ai_use_rules_citation_disclosure_in_syllabi
Original evidence
Evidence 1教師教學 R 校方尊重教師對於課程使用 AI 工具的策略，教師應於課程大綱中敘明學生 使用 AI 的規則，尤其是正確引註 AI 並揭露使用的歷程。
Localized display only
For educator teaching, the guideline says NTHU respects instructors' AI-tool strategies and that instructors should state student AI-use rules in syllabi, especially correct citation and disclosure.
Teaching
NTHU CTLD's course-syllabi generative-AI guidance encourages faculty members to specify course logistics and AIGC policies using four options: unrestricted use with no disclosure required, conditionally open, prohibited use, or not applicable.
Review: Agent reviewed
Normalized value: syllabus_aigc_policy_options_unrestricted_conditional_prohibited_not_applicable
Original evidence
Evidence 1Faculty members are encouraged to specify course logistics and policies regarding AIGC using one of the following four options: 1. Unrestricted use with no disclosure required 2. Conditionally open; please specify how to utilize generative AI in course output 3. Prohibited use; please specify relevant monitoring mechanisms 4. Not applicable
Localized display only
The CTLD syllabi guide encourages faculty to choose among four AIGC policy options: unrestricted without disclosure, conditionally open, prohibited use, or not applicable.
Academic Integrity
NTHU's Chinese AI collaboration and literacy guideline says faculty and students should be able to check the accuracy of AI-generated content and take responsibility for content they produce.
Review: Agent reviewed
Normalized value: check_ai_accuracy_take_responsibility_for_produced_content
Original evidence
Evidence 1負責：教師與學生應理解AI僅能作為素材提供的來源之一。使用時應具備檢核其正確性的判讀能力，並對自己產生的內容負責。
Localized display only
The guideline says faculty and students should treat AI as one source of material, check accuracy, and take responsibility for their own produced content.
Teaching
NTHU's Chinese AI guideline gives assessment recommendations: depending on the course, AI assistance may be allowed for assignments, but diverse submission formats are recommended; exam questions should emphasize deeper reasoning, creativity, analysis, and critical thinking.
Review: Agent reviewed
Normalized value: assessment_recommendations_diverse_formats_deeper_reasoning_critical_thinking
Original evidence
Evidence 1學習評量（作業/報告） R 依據課程屬性，可同意使用 AI 協助答題，但建議以多元形式繳交作業... 學習評量（考試） R 出題方向建議以更多需要深層推理、創造力、分析... 批判的問題，而非單純引述規則性問題。
Localized display only
The guideline recommends diverse assignment formats if AI assistance is allowed, and says exams should emphasize deeper reasoning, creativity, analysis, and critical thinking.
Teaching
NTHU's Chinese AI guideline describes AI competence as broader than programming and says NTHU plans to cultivate student AI competence through formal and informal learning, including foundational and specialized AI courses and integrating AI into courses across disciplines.
Review: Agent reviewed
Normalized value: ai_competence_formal_informal_learning_courses_cross_discipline_integration
Original evidence
Evidence 1AI 素養不僅是關涉撰寫程式的能力... 本校規劃培養學生 AI 素養：統整正式（課程、研究）與非正式的學習（社團、活動、競賽、實習）... 提供基礎及專業的 AI 課程... 將 AI 融入課程。
Localized display only
The guideline frames AI competence as more than programming and says NTHU plans formal and informal AI-competence development through courses, research, activities, competitions, internships, foundational/specialized courses, and AI integration across curricula.
Academic Integrity
In CTLD's example ethics statements for conditionally open generative-AI use, undisclosed usage may allow instructors, the institution, or relevant units to reevaluate an assignment or report or withhold scores.
Review: Agent reviewed
Normalized value: example_ethics_statement_undisclosed_ai_use_reevaluate_or_withhold_scores
Original evidence
Evidence 1If usage is discovered without proper disclosure, instructors, the institution, or relevant units have the right to reevaluate the assignment or report or withhold scores.
Localized display only
The CTLD example ethics statement says undisclosed generative-AI use may lead to reevaluation of an assignment/report or withheld scores.
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
Integrating Ethical Guidelines for Generative AI into NTHU Course Syllabi
ctld.site.nthu.edu.tw
NTHU Establishes Guidelines for AI in Education
nthu-en.site.nthu.edu.tw
人工智慧、磨課師與數位學習 AI, MOOCs, and Digital Learning
ctld.site.nthu.edu.tw
國立清華大學 大學教育場域 AI 協作、共學與素養培養指引
ctld.site.nthu.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.