Policy presence
China Agricultural University has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Beijing, China (Mainland)
China Agricultural University
China Agricultural University is listed as QS 2026 rank =504. China Agricultural University has 5 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
China Agricultural University is listed as QS 2026 rank =504. China Agricultural University has 5 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 China Agricultural University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 5 source-backed claims, including 5 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/china-agricultural-university.json. The entity-level confidence is 94%. 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 Privacy claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution 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
China Agricultural University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
China Agricultural University has 4 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
China Agricultural University has 4 source-backed public claims for exams; deterministic analysis status: blocked.
Privacy and data entry
China Agricultural University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
China Agricultural University has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
China Agricultural University has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
China Agricultural University has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
Research guidance
China Agricultural University has 3 source-backed public claims 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
For undergraduate graduation theses/designs, China Agricultural University's Undergraduate School notice says the university encourages reasonable AI use for efficiency and idea expansion but prohibits direct writing of core thesis content, falsifying research data or processes with AIGC tools, whole-paper ghostwriting, and uploading confidential theses.
Review: Agent reviewed
Normalized value: undergraduate_thesis_genai_prohibited_uses
Original evidence
Evidence 1学校倡导合理使用人工智能提高效率与拓展思路，辅助完善毕业论文（设计）的文献检索、资料整理、数据分析等内容，但禁止以下行为：禁止直接撰写论文核心内容
Localized display only
The notice encourages reasonable AI use for efficiency and idea expansion in undergraduate thesis/design work, while prohibiting direct writing of core thesis content.
Academic Integrity
For China Agricultural University graduate degree theses or degree-application practice成果, the Graduate School says the work should be independently completed under supervisor guidance and that generative AI must not directly write core content such as research methods, conclusions, or innovative viewpoints.
Review: Agent reviewed
Normalized value: graduate_thesis_core_content_ai_direct_writing_prohibited
Original evidence
Evidence 1研究生学位论文或申请学位实践成果应在导师指导下由本人独立完成，不得使用生成式人工智能直接撰写核心内容，包括但不限于研究方法、研究结论、创新性观点等
Localized display only
Graduate theses or degree-application practice成果 should be independently completed under supervisor guidance; generative AI may not directly write core content.
Ai Tool Treatment
For graduate theses or degree-application practice成果, China Agricultural University's Graduate School says generative AI used for literature retrieval or language normalization should be a nationally filed service tool, checked for truthfulness, accuracy, and reliability, and disclosed with tool name, version, date, and use process in notes, acknowledgements, references, or appendices.
Review: Agent reviewed
Normalized value: graduate_thesis_genai_assistance_disclosure_and_registered_tool_condition
Original evidence
Evidence 1使用生成式人工智能辅助文献检索、语言规范时，应使用经国家备案登记的服务工具，且对生成内容的真实性、准确性、可靠性进行自查，并在注释、致谢、参考文献或附录等部分声明工具的名称、版本、日期及使用过程
Localized display only
When using generative AI for literature retrieval or language normalization, the source calls for nationally filed service tools, self-checking output, and disclosure of tool details and use process.
Academic Integrity
For undergraduate graduation theses/designs, China Agricultural University's Undergraduate School notice says verified prohibited AI-use behavior is treated as thesis fraud under the university's thesis-fraud handling rules, with consequences including cancellation of degree-application eligibility before degree award or revocation and certificate cancellation after degree award.
Review: Agent reviewed
Normalized value: undergraduate_thesis_genai_prohibited_behavior_thesis_fraud_consequence
Original evidence
Evidence 1一经发现并核实存在以上行为的，则认定为论文作假行为。按照《中国农业大学学位论文作假行为处理办法实施细则》（中农大研生字【2015】1号）规定，未获得学位的，取消其学位申请资格，已获得学位的，撤销其学位，并注销学位证书。
Localized display only
Verified prohibited behavior is treated as thesis fraud, with cancellation of degree-application eligibility before degree award or revocation and certificate cancellation after award.
Privacy
For confidential, delayed-publication, or unpublished graduate thesis/practice成果 content, China Agricultural University's Graduate School warns students to protect content and prohibits uploading confidential content or misusing generative AI in ways that endanger data security, infringe intellectual property, or leak personal privacy.
Review: Agent reviewed
Normalized value: graduate_thesis_genai_confidential_content_upload_prohibited
Original evidence
Evidence 1对于涉密、延迟公开或尚未公开发表的内容，务必注意内容保护，禁止上传涉密内容，且不得滥用生成式人工智能危害数据安全，侵犯知识产权，泄露个人隐私等
Localized display only
For confidential, delayed-publication, or unpublished content, the source prohibits uploading confidential content and warns against AI misuse affecting data security, IP, or personal privacy.
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
中国农业大学本科生院通知：关于规范毕业论文（设计）使用生成式人工智能的通知
cem.cau.edu.cn
关于我校研究生在学位论文或申请学位实践成果中合理使用生成式人工智能的诚信提醒
yz.cau.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.