Policy presence
Nanjing University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Nanjing, China (Mainland)
Nanjing University
Nanjing University is listed as QS 2026 rank =103. Nanjing University has 7 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
Nanjing University is listed as QS 2026 rank =103. Nanjing University has 7 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 Nanjing University as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 7 source-backed claims, including 7 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/nanjing-university.json. The entity-level confidence is 97%. 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 Source status claims.
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy 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
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Nanjing University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Nanjing University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Nanjing University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Nanjing University has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
Nanjing University has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Nanjing University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Nanjing University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Nanjing 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
Source Status
Nanjing University's trial generative-AI guidance from the Undergraduate School applies to undergraduate students.
Review: Agent reviewed
Normalized value: undergraduate_guidance_scope
Original evidence
Evidence 1第三条 基本原则。学校在本科教育教学中统筹考虑人才培养多元性、课程资源多样性等因素，据此探索在不同教育教学场景下，对生成式人工智能工具使用建章立制，并确保相关制度的可操作性与可衡量性。第四条 适用对象。本指导意见适用于所有本科生。
Localized display only
Article 4 says the guidance applies to all undergraduate students.
Academic Integrity
Nanjing University undergraduate guidance prohibits using generative-AI tools to write key content in papers, assignments, reports, or works.
Review: Agent reviewed
Normalized value: key_content_ai_substitution_prohibited
Original evidence
Evidence 1禁止使用生成式人工智能工具代写论文、作业、报告或作品中的关键内容，包括但不限于研究（实验）假设提出、选题意义、方案设计、创新性方法设计、研究（实验）数据、研究（实验）结果、分析与讨论、结论总结、直接生成学术引用与参考文献列表等。
Localized display only
Article 8 prohibits using generative AI tools to write key content in papers, assignments, reports, or works.
Ai Tool Treatment
For listed allowed-use contexts, Nanjing University undergraduate guidance permits generative-AI tool use only after written signed or electronically signed consent from the course instructor or thesis/project supervisor.
Review: Agent reviewed
Normalized value: written_instructor_or_supervisor_consent_required
Original evidence
Evidence 1第二章 允许使用范围及要求。在征得任课老师、指导教师书面签字（含电子签名）同意的前提下，可在以下范围内使用生成式人工智能工具：第五条 辅助收集整理资料。原则上，在选题调研、文献检索、资料整理、参考文献格式整理等不同阶段时，可借助生成式人工智能工具辅助完成。
Localized display only
The allowed-use section is conditioned on written signed or electronically signed consent from the course instructor or supervisor.
Academic Integrity
For undergraduate thesis or project use of AI, Nanjing University guidance requires advance written application and a dedicated AI-use statement page when submitting the work.
Review: Agent reviewed
Normalized value: undergraduate_thesis_ai_application_and_statement
Original evidence
Evidence 1如毕业论文（设计）需使用人工智能技术，学生应提前向指导老师与所在学院提交书面申请，说明使用工具名称、版本、参数设置、使用目的、使用环节及范围、使用方式及预期效果等，获批准后方可使用。
Localized display only
Article 13 requires advance written application and approval before AI use in undergraduate thesis or project work.
Original evidence
Evidence 2提交任务成果时，应专设人工智能工具使用声明页，说明使用的工具名称、版本、使用时间、使用过程、具体用途及对成果贡献影响，并亲笔签名，以使评审者能够准确评估学生自主创作与工具辅助界限。
Localized display only
Article 15 requires a dedicated AI-use declaration page when submitting work.
Ai Tool Treatment
Nanjing University undergraduate guidance allows generative AI to assist with topic research, literature search, material organization, and reference formatting, but requires students to assess generated information and forbids directly copying generated content to replace independent research.
Review: Agent reviewed
Normalized value: information_collection_allowed_with_verification_no_substitution
Original evidence
Evidence 1原则上，在选题调研、文献检索、资料整理、参考文献格式整理等不同阶段时，可借助生成式人工智能工具搜集信息，但须对生成式人工智能生成信息的真实性、准确性、可靠性进行辨识，不得直接抄袭搬运生成式人工智能工具生成的内容来替代自主研究。
Localized display only
Article 5 allows AI-assisted information gathering and organization, but requires verification and bars directly copying generated content to replace independent research.
Academic Integrity
Nanjing University undergraduate guidance says violations of the generative-AI rules may lead to measures such as warnings, lowered grades, cancellation of undergraduate thesis defense eligibility, or degree-related consequences when academic misconduct is involved.
Review: Agent reviewed
Normalized value: violations_may_trigger_academic_penalties
Original evidence
Evidence 1对于违反本规定使用生成式人工智能工具的行为，将视情节轻重给予相应的处理。包括：警告并责令改正；降低论文、课程或实验成绩；本科毕业论文（设计）视情节给予取消毕业论文（设计）答辩资格、取消合格成绩等处理；构成学术不端的，按照学校相关管理规定给予相应处分。
Localized display only
Article 17 says violations may trigger warnings, grade impacts, thesis-defense consequences, or academic-misconduct discipline depending on severity.
Privacy
Nanjing University undergraduate guidance says students should use nationally registered AI services and forbids uploading data, images, or other sensitive information from confidential papers or reports to AI platforms unless specially approved by relevant departments.
Review: Agent reviewed
Normalized value: confidential_sensitive_information_ai_platform_upload_ban
Original evidence
Evidence 1在选择人工智能技术时，应使用经国家备案登记的服务工具；禁止滥用人工智能技术危害数据安全、侵犯知识产权、泄露隐私机密、传播有害歧视性内容或违反伦理道德规范；论文、报告等涉及保密内容的，除获得相关部门特别批准外，禁止使用任何生成式人工智能工具进行辅助处理，同时，严禁将文档中的任何数据、图片或其他敏感信息上传至人工智能平台。
Localized display only
Article 12 addresses registered services, data security, privacy/confidentiality, and sensitive-information upload restrictions.
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
关于本科生规范使用生成式人工智能工具的指导意见（试行）
jw.nju.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.