Policy presence
National Chengchi University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Taipei City, Taiwan
National Chengchi University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
National Chengchi University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
National Chengchi University has 2 source-backed public claims for coursework; deterministic analysis status: restricted.
National Chengchi University has 2 source-backed public claims for exams; deterministic analysis status: restricted.
National Chengchi University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
National Chengchi University has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
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.
National Chengchi University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
National Chengchi University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
3 reviewed evidence-backed public claim
Academic Integrity
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
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
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.
0 machine or needs-review claim
2 source attribution
learning.nccu.edu.tw
aca.nccu.edu.tw