Kaohsiung City, Taiwan

National Sun Yat-sen University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage7 reviewedEvidence-backed claims7Reviewed7Candidate0Official sources5Source languagezh-HantPublic JSON/api/public/v1/universities/national-sun-yat-sen-university.json

Policy profile

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence77%

Privacy and data entry

National Sun Yat-sen University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.

BlockedMachine candidateConfidence79%Evidence1Sources1

Approved tools

National Sun Yat-sen University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence77%Evidence1Sources1

Named AI services

National Sun Yat-sen University has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.

AllowedMachine 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

AI tools

Derived tool records1

AI tools

National Sun Yat-sen University

Tool
AI tools
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed
Sources

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 reviewedConfidence93%

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 reviewedConfidence91%

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 reviewedConfidence90%

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 reviewedConfidence90%

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 reviewedConfidence90%

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 reviewedConfidence88%

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 reviewedConfidence86%

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

Official sources

5 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

Back to universities