Taoyuan City, Taiwan

Chang Gung University

Chang Gung University has 5 source-backed AI policy claims from 5 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 18, 2026.

Chang Gung University AI policy short answer

v1 public contract

Chang Gung University has 5 source-backed AI policy claims from 5 official source attributions, including 5 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 18, 2026. Discovery context: Chang Gung University is listed as QS 2026 rank =668.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Chang Gung University as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/chang-gung-university.json. The entity-level confidence is 95%. 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/chang-gung-university.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Evidence includes Research 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official sources5

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 score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

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

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

RecommendedMachine candidateConfidence79%Evidence1Sources1

Privacy and data entry

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

RestrictedMachine candidateConfidence81%Evidence1Sources1

Approved tools

Chang Gung University has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Research guidance

Chang Gung University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%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

Privacy

Chang Gung University general generative AI guidance warns users not to enter sensitive information into public AI platforms and to follow privacy and security rules.

Review: Agent reviewedConfidence95%

Normalized value: Avoid sensitive information in public AI platforms and follow privacy and security rules

Original evidence

Evidence 1
避免將敏感資訊輸入至公共 AI 平台,以降低資料外洩風險,並應選擇具備強大隱私保護功能的 AI 工具。學校也強烈建議師生在使用 AI 工具時,遵循相關隱私法規與安全守則,確保個人及學校的資訊安全,防止資料外洩。

Localized display only

CGU guidance says to avoid entering sensitive information into public AI platforms, follow privacy rules and security guidance, and protect personal and school information security.

Ai Tool Treatment

Chang Gung University guidance encourages faculty and students to use ChatGPT as a teaching and learning aid, while keeping use within a reasonable scope and observing academic integrity and ethics.

Review: Agent reviewedConfidence94%

Normalized value: Encourages ChatGPT as a teaching and learning aid with academic-integrity and reasonable-use boundaries

Original evidence

Evidence 1
ChatGPT 是一個很好的教學與學習輔助工具,長庚大學鼓勵全校師生使用 ChatGPT 輔助教學與學習,然而師生在使用 ChatGPT 生成工具時應該注意學術誠信與學術倫理。

Localized display only

CGU encourages faculty and students to use ChatGPT as a teaching and learning aid, while noting academic integrity and ethics.

Academic Integrity

Chang Gung University student guidance tells students to follow course AI-use rules, clearly mark AI use when permitted, avoid directly copying AI-generated content, and not use AI in exams unless specifically allowed.

Review: Agent reviewedConfidence94%

Normalized value: Students should follow course AI rules, label permitted AI use, avoid direct copying, and not use AI in exams unless allowed

Original evidence

Evidence 1
仔細閱讀並遵守課程的 AI 使用規定;如果允許使用 AI,清楚標註使用情況;AI 是輔助工具,最終內容要反映你的理解和見解;避免直接複製 AI 生成的內容,要用自己的話表達。除非特別允許,考試中禁止使用 AI。

Localized display only

CGU student guidance says students should follow course AI rules, mark AI use if allowed, avoid direct copying, and not use AI in exams unless specially allowed.

Teaching

Chang Gung University teacher guidance advises instructors to state AI-use rules in syllabi, choose whether AI use is fully open, conditionally open, or prohibited, and explain scope, marking requirements, and grading criteria.

Review: Agent reviewedConfidence93%

Normalized value: Teacher guidance recommends syllabus AI-use statements and course-level rules

Original evidence

Evidence 1
在課程大綱中明確說明 AI 使用規範;可選擇完全開放、有條件開放或禁止使用 AI;說明 AI 使用範圍、標註要求和評分標準;與學生討論 AI 使用規定,確保充分理解。

Localized display only

CGU teacher guidance advises instructors to state AI-use rules in syllabi, choose allowed/prohibited modes, and explain scope, labeling, and grading criteria.

Research

Chang Gung University researcher guidance treats AI as a supporting tool, says core arguments and innovative results should be written by researchers, and calls for clear disclosure and verification of AI-generated content.

Review: Agent reviewedConfidence93%

Normalized value: AI is a research support tool; disclose and verify use, and keep core arguments researcher-authored

Original evidence

Evidence 1
核心論點和創新性成果應由研究者自行撰寫;在論文中明確說明 AI 的使用情況,包括工具、範圍和影響;謹慎引用 AI 生成的內容,必須親自核實其準確性。在研究各階段清楚揭露 AI 的使用情況;對 AI 生成的內容進行嚴格審查和驗證。

Localized display only

CGU researcher guidance says core arguments should be researcher-authored, AI use should be disclosed, and AI-generated content should be verified.

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

5 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 18, 2026Last changedMay 18, 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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