Hsinchu City, Taiwan

National Tsing Hua University - NTHU

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage8 reviewedEvidence-backed claims8Reviewed8Candidate0Official sources4Source languageen, zh-HantPublic JSON/api/public/v1/universities/national-tsing-hua-university.json

Policy profile

Coverage score75/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence78%

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

National Tsing Hua University - NTHU has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.

UnclearMachine candidateConfidence80%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

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 reviewedConfidence94%

Normalized value: announced_ai_education_guidelines_2023_05_01

Original evidence

Evidence 1
In 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 reviewedConfidence93%

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 reviewedConfidence92%

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 reviewedConfidence92%

Normalized value: syllabus_aigc_policy_options_unrestricted_conditional_prohibited_not_applicable

Original evidence

Evidence 1
Faculty 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 reviewedConfidence91%

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 reviewedConfidence91%

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 reviewedConfidence90%

Normalized value: ai_competence_formal_informal_learning_courses_cross_discipline_integration

Original evidence

Evidence 1
AI 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 reviewedConfidence89%

Normalized value: example_ethics_statement_undisclosed_ai_use_reevaluate_or_withhold_scores

Original evidence

Evidence 1
If 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

Official sources

4 source attribution

Change log

Last checkedMay 15, 2026Last changedMay 15, 2026Open change log

Corrections

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