Policy presence
National Sun Yat-sen University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Kaohsiung City, Taiwan
National Sun Yat-sen University
National Sun Yat-sen University is listed as QS 2026 rank 439. National Sun Yat-sen University has 7 source-backed AI policy claim records from 5 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 Sun Yat-sen University is listed as QS 2026 rank 439. National Sun Yat-sen University has 7 source-backed AI policy claim records from 5 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 Sun Yat-sen University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 7 source-backed claims, including 7 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/national-sun-yat-sen-university.json. The entity-level confidence is 93%. 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.
Policy signals in this record
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Source status 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.
Review: Agent reviewed
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.
Review: Machine candidate
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 Sun Yat-sen University has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
National Sun Yat-sen University has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
National Sun Yat-sen University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
National Sun Yat-sen University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
National Sun Yat-sen University has 4 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
National Sun Yat-sen University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
National Sun Yat-sen University has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
Teaching guidance
National Sun Yat-sen University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
National Sun Yat-sen University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
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
7 reviewed evidence-backed public claim
Academic Integrity
NSYSU's student generative AI guidance says students may not use generative AI tools for plagiarism or ghostwriting, cheating on exams, or privacy disclosure.
Review: Agent reviewed
Normalized value: student_ai_plagiarism_ghostwriting_exam_cheating_privacy_disclosure_prohibited
Original evidence
Evidence 1學生不得使用生成式AI工具從事下列行為。08. 抄襲或代寫...09. 考試作弊...10. 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
The student PDF lists prohibited AI uses: plagiarism/ghostwriting, exam cheating, and entering personal or others' private information into generative AI tools.
Academic Integrity
NSYSU's teacher guidance says teachers should not use AI-detection tools as the sole basis for handling academic-ethics violations, and should assess suspected misuse according to academic-ethics rules.
Review: Agent reviewed
Normalized value: ai_detection_not_sole_basis_for_academic_ethics_cases
Original evidence
Evidence 1教師不應以AI偵測工具作為處理違反學術倫理的唯一依據。由於這些工具不能完全準確地判定內容是否由AI生成，若學生之作業或報告有濫用AI生成工具之疑慮，教師應依照學術倫理則進行評估。
Localized display only
The teacher PDF cautions that AI-detection tools should not be the sole basis for academic-ethics handling.
Ai Tool Treatment
NSYSU's student guidance says students may use generative AI tools to support learning activities such as clarifying concepts, editing writing, translating, practicing languages, improving critical thinking, generating inspiration, recommending papers, and improving code.
Review: Agent reviewed
Normalized value: student_learning_support_uses_listed
Original evidence
Evidence 1學生可以參考下列指引，妥善使用生成式AI工具輔助學習。01. 釐清概念...02. 潤飾文字...03. 翻譯與學習外語...04. 增進思辨能力...05. 提供靈感...
Localized display only
The student PDF lists learning-support uses for generative AI, including concept clarification, writing polishing, translation/language practice, critical thinking, and inspiration.
Academic Integrity
NSYSU's student guidance says students using generative AI tools should observe academic ethics and properly cite or explain the motivation, scope, sources, and AI-generated portions when teacher permission allows AI-assisted learning.
Review: Agent reviewed
Normalized value: student_ai_use_citation_scope_source_disclosure
Original evidence
Evidence 1學生使用 AI 生成工具時，應遵守學術倫理。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。
Localized display only
The student PDF says students should observe academic ethics and, when teacher permission allows AI-assisted learning, clearly state motivation, scope, and cited works/data sources.
Teaching
NSYSU's teacher guidance says teachers should clearly explain generative AI tool rules and precautions in class, note them in the syllabus, and guide students in correct AI tool use.
Review: Agent reviewed
Normalized value: teachers_should_state_ai_rules_in_class_and_syllabus
Original evidence
Evidence 1制定使用規範：教師應於課堂中明確說明生成式AI工具的使用規則與注意事項，並在課程大綱中註明，引導學生如何正確使用AI工具。
Localized display only
The teacher PDF says teachers should state generative AI rules and precautions in class and note them in the syllabus.
Academic Integrity
NSYSU's student academic integrity guidelines include cheating through unauthorized aids, tools, or electronic devices in coursework, assignments, or examinations when instructor consent has not been given.
Review: Agent reviewed
Normalized value: unauthorized_tools_devices_aids_can_be_cheating
Original evidence
Evidence 1作弊：於課程、作業或考試中採取不當手段以影響成績或評量結果之行為，包括但不限於...未經授課教師同意之情形下，使用他人協助或未授權之資料、工具或電子設備等。
Localized display only
The academic-integrity PDF defines cheating to include using unauthorized materials, tools, or electronic devices without instructor consent.
Source Status
National Sun Yat-sen University's Office of Academic Affairs publishes generative AI tool reference guidance for students and teachers; discovery did not identify a stronger central binding generative-AI policy in the checked official sources.
Review: Agent reviewed
Normalized value: official_reference_guidance_found_no_stronger_binding_policy_identified
Original evidence
Evidence 1本校為因應此未來趨勢，針對學生學習及教師教學兩個面向，制定「生成式AI工具使用參照指引」，提供本校師生參考。
Localized display only
The OAA page says NSYSU created generative AI tool reference guidance for the student-learning and teacher-teaching contexts.
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
國立中山大學學生學術誠信指引 Student Academic Integrity Guidelines
bmst.nsysu.edu.tw
國立中山大學書函：學生學術誠信指引及生成式AI工具使用參照指引相關資訊
bmst.nsysu.edu.tw
國立中山大學生成式AI工具使用參照指引_學生版
oaa.nsysu.edu.tw
國立中山大學生成式AI工具使用參照指引_教師版
oaa.nsysu.edu.tw
國立中山大學生成式AI工具使用參照指引Guidelines for the Use of Generative Artificial Intelligence (AI) Tools, NSYSU
oaa.nsysu.edu.tw
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.
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.