Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Tianjin, China (Mainland)
Nankai University
Nankai University is listed as QS 2026 rank =355. Nankai University has 5 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Nankai University is listed as QS 2026 rank =355. Nankai University has 5 source-backed AI policy claim records from 1 official source attribution. 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 Nankai University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/nankai-university.json. The entity-level confidence is 96%. 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.
- 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
Nankai University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Nankai University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Nankai University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Nankai University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Nankai University has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
Nankai University has 1 source-backed public claim for approved tools; deterministic analysis status: conditionally_allowed.
Named AI services
Nankai University has 1 source-backed public claim for named ai services; deterministic analysis status: conditionally_allowed.
Teaching guidance
Nankai University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Nankai University 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
5 reviewed evidence-backed public claim
Academic Integrity
Nankai University's undergraduate AI tool norm prohibits AI use for confidential or sensitive-content creation, uploading confidential content to AI platforms, generating or altering core arguments or research data, academic misconduct such as ghostwriting, plagiarism, or copying, and AI use in listed midterm and final assessment formats unless a teacher explains a special-use case in advance.
Review: Agent reviewed
Normalized value: prohibited_ai_tool_use_undergraduate_teaching
Original evidence
Evidence 1第九条 禁止使用的范围。1.禁止使用 AI 工具进行任何涉及敏感信息（如个人隐私、商业秘密等）或涉及保密的内容创作，禁止将涉密内容上传至任何 AI 平台。2.禁止使用 AI 工具生成或篡改原始核心论点、实验数据、调研数据，禁止使用 AI 工具生成基于虚假研究数据的图表、图片。3.禁止使用 AI 工具进行代写、抄袭、剽窃等学术不端行为。
Localized display only
The norm prohibits AI use involving sensitive or confidential content, core data or argument fabrication, and academic misconduct.
Ai Tool Treatment
Nankai University's undergraduate AI tool norm permits students, with course teacher or supervisor consent and where core assessment or innovation is not affected, to use AI tools for literature search and management, grammar and formatting support with marked generated content, chart production from real data, and code assistance subject to author review and testing.
Review: Agent reviewed
Normalized value: conditional_student_ai_tool_permission
Original evidence
Evidence 1第八条 允许使用的范围。在征得任课教师或指导教师同意的前提下，且 AI 工具辅助完成的内容不会对课程作业、毕业论文（设计）、实验报告等的核心内容和创新能力考查造成影响时，学生可以在以下范围内合理使用 AI 工具。1.允许使用 AI 工具进行文献检索、资料收集、关键词推荐和文献管理
Localized display only
Students may reasonably use AI tools in listed ways after teacher or supervisor consent and when core work or innovation assessment is not affected.
Academic Integrity
Nankai University's undergraduate AI tool norm says students should clearly explain and mark specific AI-generated content in coursework, graduation theses or designs, and lab reports, and should keep complete AI tool use records such as prompts, outputs, and selected use for checking.
Review: Agent reviewed
Normalized value: student_ai_generated_content_disclosure_records
Original evidence
Evidence 1第十一条 对于 AI 工具生成的具体内容，学生应在课程作业、毕业论文（设计）、实验报告等文中明确说明和进行标注。并保存完整 AI 工具使用记录（如输入指令内容、生成输出结果、筛选运用等），以备核查。
Localized display only
Students should mark AI-generated content in academic work and keep complete AI tool use records for checking.
Academic Integrity
Nankai University's undergraduate AI tool norm states that the university will provide an AIGC detection tool for teaching units to check AI tool use in coursework, graduation theses or designs, and lab reports, with results for teacher and supervisor reference; students who violate the norm may receive lower course or thesis grades, lose defense eligibility, or be handled under academic misconduct rules.
Review: Agent reviewed
Normalized value: aigc_detection_and_violation_consequences
Original evidence
Evidence 1第十三条 学校将提供 AIGC 检测工具，各教学单位可对课程作业、毕业论文（设计）、实验报告等使用 AI 工具的情况进行 AIGC 检测，AIGC 检测结果供任课教师和指导教师参考使用。第十四条 学生违反本规范使用 AI 工具的，视情节给予降低课程或毕业论文（设计）考核成绩、取消答辩资格等处理。构成学术不端的，按照学校相关规定予以处理。
Localized display only
The norm says the university will provide AIGC detection and describes possible consequences for violating the AI tool use norm.
Teaching
Nankai University's trial undergraduate teaching AI tool use norm applies to undergraduate teaching, learning, examination, evaluation, and management activities, while encouraging teaching units, teachers, and students to use AI tools reasonably in specified teaching and learning contexts.
Review: Agent reviewed
Normalized value: undergraduate_ai_tool_use_scope
Original evidence
Evidence 1第一条 在遵守现有教育教学规范和法律法规的前提下，鼓励各教学单位推动课程、教材、教学数字化变革，将人工智能技术融入教育教学全要素全过程，提升师生人工智能素养。第四条 本规范适用于本科教学的“教、学、考、评、管”各个环节。
Localized display only
The norm encourages teaching units to integrate AI into teaching and says it applies to undergraduate teaching, learning, examination, evaluation, and management.
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
1 source attribution
南开大学本科教学人工智能工具使用规范（试行）
stat.nankai.edu.cn
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.