Tainan City, Taiwan

National Cheng Kung University (NCKU)

National Cheng Kung University (NCKU) is listed as QS 2026 rank =203. National Cheng Kung University (NCKU) has 5 source-backed AI policy claim records from 2 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 Cheng Kung University (NCKU) is listed as QS 2026 rank =203. National Cheng Kung University (NCKU) has 5 source-backed AI policy claim records from 2 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 Cheng Kung University (NCKU) 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 2 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-cheng-kung-university.json. The entity-level confidence is 90%. 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.

Claim coverage5 reviewedSource languagezh-HantPublic JSON/api/public/v1/universities/national-cheng-kung-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Research claims.
  • Evidence includes Privacy 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.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official sources2

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.

Coverage score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence77%

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 Cheng Kung University (NCKU) has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Privacy and data entry

National Cheng Kung University (NCKU) has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence77%Evidence1Sources1

Academic integrity

National Cheng Kung University (NCKU) has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence77%Evidence1Sources1

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 Cheng Kung University (NCKU) has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence77%Evidence1Sources1

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

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

Academic Integrity

NCKU academic-integrity guidance says faculty, students, and researchers should verify generative-AI outputs, and that using generative AI for plagiarism, fabrication, or falsification breaches academic integrity; students should follow course rules and should not submit AI-generated content as their own without permission.

Review: Agent reviewedConfidence90%

Normalized value: genai_outputs_verified_course_rules_no_unauthorized_submission

Original evidence

Evidence 1
師生及研究人員使用生成式 AI 輔助生成之內容,應謹慎查驗其準確性...不允許任何使用生成式 AI 剽竊、偽造、變造數據、圖表等違反學術誠信行為。學生於學習過程中,應遵循教師在課程中關於使用生成式 AI 之規則,未經允許,不應將其生成之內容...作為自己之作業、報告、創作、展演及論文等提交。

Localized display only

The guideline says users should verify AI outputs, forbids AI-enabled plagiarism/fabrication/falsification, and tells students to follow course rules before submitting AI-generated content.

Research

NCKU guidance says faculty, students, and researchers using generative AI in research should work to ensure reproducibility and stability of research results and appropriately disclose the AI tool name, version, date, and method of use.

Review: Agent reviewedConfidence90%

Normalized value: genai_research_disclosure_tool_name_version_date_method

Original evidence

Evidence 1
師生及研究人員應致力於確保研究結果和結論之可重複性與穩定性,並於研究中適當揭露 AI 工具的參與程度,如:工具名稱、版本、日期及使用方法,以利他人理解及評估研究之可靠性。

Localized display only

The guideline calls for reproducibility and disclosure of the AI tool name, version, date, and method of use in research.

Privacy

NCKU guidance tells faculty, students, and researchers not to provide unpublished research or sensitive content to generative AI, notes that shared data may be retained as training data, and says generative AI should be avoided in confidential research activities such as peer review or research-proposal review.

Review: Agent reviewedConfidence90%

Normalized value: do_not_share_unpublished_sensitive_or_confidential_research_with_genai

Original evidence

Evidence 1
切勿將未發表之研究或機敏內容提供給生成式 AI,並應了解任何與生成式 AI 共享之資料,都可能被收錄於訓練資料庫中...在具保密義務之研究活動中(如:同儕審查、研究計畫審查),應避免使用生成式 AI,以免影響他人或組織之權益。

Localized display only

The guideline warns against sharing unpublished or sensitive research with generative AI and against use in confidential research activities.

Research

NCKU guidance says generative AI can assist with brainstorming, literature review, and manuscript polishing, but cannot replace critical thinking, decision-making, or interpretation; generative AI cannot be listed as an author or co-author, and the author/user remains fully responsible for the work.

Review: Agent reviewedConfidence90%

Normalized value: genai_assistive_only_not_author_user_responsible

Original evidence

Evidence 1
生成式 AI 可以協助發想議題、查閱文獻、潤飾文稿等,但不能取代師生及研究者進行批判性思考、決策和結果詮釋...生成式 AI 不能作為作者或共同作者...即使研究中的部分內容是由生成式 AI 工具生成,研究人員也應對其研究負全部責任。

Localized display only

The guideline frames generative AI as assistive, not a replacement for researcher judgment, and says it cannot be an author or co-author.

Research

NCKU guidance says generative-AI acceptance, use, and ethical considerations differ by discipline; faculty, students, and researchers should respect disciplinary differences and confirm a target journal's generative-AI policy before submission.

Review: Agent reviewedConfidence90%

Normalized value: respect_disciplinary_differences_check_journal_genai_policy

Original evidence

Evidence 1
不同學科領域對於生成式 AI 之接受程度、使用方式及倫理考量皆有所不同,仍需學術社群自主性的規範...師生及研究人員於投稿前,務必確認該投稿期刊之生成式 AI 政策,以符合該學術社群之要求。

Localized display only

The guideline says generative-AI norms differ by discipline and users should check journal AI policies before submission.

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

2 source attribution

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.

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

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.

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