Kaohsiung City, Taiwan

Kaohsiung Medical University

Kaohsiung Medical University has 4 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 19, 2026.

Kaohsiung Medical University AI policy short answer

v1 public contract

Kaohsiung Medical University has 4 source-backed AI policy claims from 3 official source attributions, including 4 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 19, 2026. Discovery context: Kaohsiung Medical University is listed as QS 2026 rank 761-770.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Kaohsiung Medical University as an agent-reviewed AI policy record last checked on May 19, 2026 and last changed on May 19, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/kaohsiung-medical-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 coverage4 reviewedSource languagezh-HantPublic JSON/api/public/v1/universities/kaohsiung-medical-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Research 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 claims4Reviewed4Candidate0Official sources3

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 confidence74%

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.

Privacy and data entry

Kaohsiung Medical University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence77%Evidence1Sources1

Approved tools

Kaohsiung Medical University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence75%Evidence1Sources1

Named AI services

Kaohsiung Medical University has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.

AllowedMachine candidateConfidence75%Evidence1Sources1

Teaching guidance

Kaohsiung Medical University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence73%Evidence1Sources1

Research guidance

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

RecommendedMachine candidateConfidence70%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

4 reviewed evidence-backed public claim

Academic Integrity

Kaohsiung Medical University's student generative AI guidance says students must not use generative AI tools for plagiarism or ghostwriting, cheating during exams, or privacy leakage.

Review: Agent reviewedConfidence90%

Normalized value: student_genai_prohibited_plagiarism_cheating_privacy

Original evidence

Evidence 1
學生不得使用生成式 AI 工具從事下列行為:1. 抄襲或代寫;2. 考試作弊;3. 隱私洩露:學生應避免將個人或他人隱私資訊輸入至生成式 AI 工具。

Localized display only

Students must not use generative AI tools for plagiarism or ghostwriting, exam cheating, or privacy leakage.

Ai Tool Treatment

Kaohsiung Medical University's student generative AI guidance allows students to use generative AI as a learning aid for purposes such as self-directed learning, text polishing, language and writing support, critical thinking, idea generation, paper recommendation, and code improvement.

Review: Agent reviewedConfidence88%

Normalized value: student_genai_allowed_learning_aid

Original evidence

Evidence 1
學生可以妥善使用生成式 AI 工具輔助學習:1. 提升學生自主學習;2. 潤飾文字;3. 語言與寫作輔助;4. 增進思辨能力;5. 提供靈感;6. 推薦論文;7. 改進程式碼。

Localized display only

Students may use generative AI tools as learning aids for self-directed learning, text polishing, writing/language support, critical thinking, idea generation, paper recommendation, and code improvement.

Academic Integrity

Kaohsiung Medical University's student generative AI guidance says students should cite or explain AI use when permitted by instructors and should critically check AI-generated information before using it in assignments or reports.

Review: Agent reviewedConfidence86%

Normalized value: student_genai_citation_and_verification

Original evidence

Evidence 1
正確引用:學生使用生成式 AI 工具輔助學習時,應在教師允許的情況下,符合明確註明應用動機、範圍及其引用之著作、資料出處等行為。資訊判斷與查證:學生應以批判思考檢視 AI 生成內容。

Localized display only

When permitted by instructors, students should state the purpose, scope, cited works, and data sources for AI-assisted learning, and should critically check AI-generated content.

Research

Kaohsiung Medical University's Library and Information Services AI academic ethics page advises that research use of AI should be disclosed in papers, AI should not be listed as an author or co-author, and humans remain responsible for reviewing and editing AI-assisted outputs.

Review: Agent reviewedConfidence82%

Normalized value: research_ai_disclosure_no_ai_author_human_responsibility

Original evidence

Evidence 1
研究過程中若使用AI工具,應在論文中誠實揭露使用方式。作者不應將 AI 和 AI 輔助技術列為作者或共同作者,因為它們無法對作品的準確性、完整性和原創性負責。使用 AI 輔助技術,作者應仔細審查和編輯結果,最後提交的結果由人類主責。

Localized display only

The KMU Library AI ethics page advises disclosure of AI use in research papers, says AI should not be listed as an author or co-author, and says humans are responsible for final submissions.

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

3 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 19, 2026Last changedMay 19, 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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