Taipei City, Taiwan

National Chengchi University

National Chengchi University has 3 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 17, 2026.

National Chengchi University AI policy short answer

v1 public contract

National Chengchi University has 3 source-backed AI policy claims from 2 official source attributions, including 3 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 17, 2026. Discovery context: National Chengchi University is listed as QS 2026 rank =604.

Citation-ready summary

As of this public record, University AI Policy Tracker lists National Chengchi University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 3 source-backed claims, including 3 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-chengchi-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 coverage3 reviewedSource languagezh-HantPublic JSON/api/public/v1/universities/national-chengchi-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Privacy claims.
  • Evidence includes Teaching 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.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims3Reviewed3Candidate0Official 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 confidence75%

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 Chengchi University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Privacy and data entry

National Chengchi University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%Evidence1Sources1

Academic integrity

National Chengchi University has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine 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 Chengchi University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence75%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

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

3 reviewed evidence-backed public claim

Academic Integrity

For students, NCCU's generative AI principles say generative AI tools may be used within instructor rules and academic ethics, and that report content produced with generative tools should be rigorously cited to meet academic ethics requirements.

Review: Agent reviewedConfidence90%

Normalized value: student_ai_use_with_instructor_rules_and_citation

Original evidence

Evidence 1
學生使用生成式 AI 工具,應遵守學術誠信的原則,不應出現抄襲及作弊之行為,且遵守課程教師之規定。……在符合授課教師規定並符合學術倫理之規範下,得妥善運用生成式人工智慧工具提升學習效率及成效,並完成各課程學習成果產出。……利用生成工具產出報告相關內容時,應嚴謹標註出處,符合學術倫理要求。

Localized display only

The PDF says students should follow academic integrity and instructor rules, may use generative AI within those bounds, and should cite report content produced using generative tools.

Privacy

NCCU's generative AI principles tell students to avoid involving personal privacy data when using generative tools, and tell administrative staff not to provide confidential official content, personal privacy information, or non-public unit information to generative AI tools.

Review: Agent reviewedConfidence88%

Normalized value: avoid_personal_privacy_and_confidential_nonpublic_information

Original evidence

Evidence 1
避免運用生成工具時涉及使用個人隱私資料,或採用具有偏見或歧視之字眼及內容。……機密公務內容、個人隱私資訊及未經單位同意公開之資訊禁止提供給生成式人工智慧工具,亦不得向生成式AI詢問可能涉及機密業務或個人資料之問題。

Localized display only

The page warns students to avoid personal privacy data when using generative tools and says administrative staff must not provide confidential, personal, or non-public information to generative AI tools.

Teaching

National Chengchi University's generative AI principles advise instructors to state course-specific generative AI tool rules in the syllabus, with reference options including full permission, conditional permission, prohibition with a management mechanism, or no AI use in the course.

Review: Agent reviewedConfidence86%

Normalized value: teacher_syllabus_rules_recommended

Original evidence

Evidence 1
為避免師生對於「可否使用生成式 AI 工具」的態度不一致,導致產生評分爭議,請教師在教學大綱中敘明生成式 AI 工具使用規定。假若教師對相關規定毫無頭緒,可以參考並利用目前各校常用參考選項制定:完全開放使用、有條件開放使用(敘明規定)、禁止使用(敘明管理機制)、本課程無涉及 AI 使用。

Localized display only

The page advises instructors to specify generative AI tool rules in the syllabus and lists common options such as full permission, conditional permission, prohibition, or no AI use.

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 17, 2026Last changedMay 17, 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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