Policy presence
National Taipei University of Technology has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Taipei City, Taiwan
National Taipei University of Technology
National Taipei University of Technology is listed as QS 2026 rank =420. National Taipei University of Technology has 4 source-backed AI policy claim records from 2 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 Taipei University of Technology is listed as QS 2026 rank =420. National Taipei University of Technology has 4 source-backed AI policy claim records from 2 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 Taipei University of Technology as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 2 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-taipei-university-of-technology.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 Privacy claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current 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 Taipei University of Technology has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
National Taipei University of Technology has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
National Taipei University of Technology has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
National Taipei University of Technology has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
National Taipei University of Technology has 2 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
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.
Named AI services
National Taipei University of Technology has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
National Taipei University of Technology has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
National Taipei University of Technology has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
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
4 reviewed evidence-backed public claim
Privacy
NTUT guidance cautions generative AI users to avoid entering personal data, unpublished documents, or confidential information into generative AI tools to reduce leakage risk and protect information security.
Review: Agent reviewed
Normalized value: avoid_personal_unpublished_confidential_data_in_generative_ai
Original evidence
Evidence 1使用者應避免將個資、未公開文件或機密資料輸入生成式 AI，降低個人資料洩露之風險，以確保資訊安全。
Localized display only
Users should avoid entering personal data, unpublished documents, or confidential information into generative AI to reduce personal-data leakage risk and protect information security.
Academic Integrity
NTUT guidance recommends that course syllabi list rules or limits for generative AI use, and that instructors explain and agree those course-level requirements with enrolled students.
Review: Agent reviewed
Normalized value: course_syllabus_should_state_ai_use_rules_or_limits
Original evidence
Evidence 1課程「教學大綱及進度表」宜明列生成式 AI 工具的使用規範或限制，教師於課堂應向修課學生說明並約定該課程使用 AI 工具的規範或限制要求。
Localized display only
Course syllabi should list rules or restrictions for generative AI tools, and instructors should explain and agree course-level AI-use requirements with enrolled students.
Teaching
NTUT Academic Affairs guidance says instructors may use generative AI as an auxiliary tool for teaching design and materials preparation, but should carefully review generated content for credibility, correctness, bias, and academic fairness.
Review: Agent reviewed
Normalized value: teaching_guidance_ai_auxiliary_tool_review_required
Original evidence
Evidence 1教學設計與教材準備可善用生成式AI作為輔助工具，亦可將AI工具融入教學活動，但應嚴謹審視生成內容的可信度與正確性，並應避免生成內容帶有偏見或損害學術公正性。
Localized display only
Teaching design and materials may use generative AI as an auxiliary tool, but generated content should be reviewed for credibility, correctness, bias, and academic fairness.
Academic Integrity
NTUT guidance advises students not to over-rely on AI tools, to evaluate AI output, to label AI-generated results when used, and not to submit generated output directly as their own reports or assignments.
Review: Agent reviewed
Normalized value: students_should_disclose_and_not_submit_ai_output_directly
Original evidence
Evidence 1指導學生正確運用AI工具，協助課業及自我學習，但不宜過度依賴；使用時應思考與評估判斷其內容的正確性及合理性，如使用AI生成結果建議宜標註，並經思考後提出個人觀點，不宜將生成結果直接作為自身的報告或作業。
Localized display only
Students should be guided to use AI tools properly, avoid over-reliance, evaluate correctness and reasonableness, label AI-generated results when used, and not submit generated output directly as their own work.
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
2 source attribution
因應生成式 AI 工具之教學參考指引
oaa.ntut.edu.tw
因應生成式AI工具之教學參考指引(112.06.26更新)
oaa.ntut.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.