Policy presence
Shenzhen University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Shenzhen, China (Mainland)
Shenzhen University
Shenzhen University is listed as QS 2026 rank =452. Shenzhen University has 6 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
Shenzhen University is listed as QS 2026 rank =452. Shenzhen University has 6 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 Shenzhen University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 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/shenzhen-university.json. The entity-level confidence is 95%. 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.
- Evidence includes Research claims.
- Evidence includes Source status claims.
- Evidence includes AI tool treatment 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.
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
Shenzhen University has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Shenzhen University has 2 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Shenzhen University has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Shenzhen University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Shenzhen University has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Shenzhen University has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
Shenzhen University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Shenzhen University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Shenzhen University has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
Security and procurement
Shenzhen University has 1 source-backed public claim for security and procurement; deterministic analysis status: recommended.
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
6 reviewed evidence-backed public claim
Privacy
Shenzhen University guidance prohibits uploading confidential content to AI tools unless otherwise specified and prohibits uploading personal information, privacy, and other sensitive data to AI tools.
Review: Agent reviewed
Normalized value: confidential_and_sensitive_data_upload_prohibited_unless_otherwise_specified
Original evidence
Evidence 1除非另有规定，禁止将任何涉密内容上传至任何人工智能工具，包括本地化部署的平台。禁止将涉及个人信息、隐私等敏感数据上传至人工智能工具，例如涉及我国人类遗传资源的数据、参与临床实验参与者信息和相关数据、未脱敏的实验记录。
Localized display only
Unless otherwise specified, the guidance prohibits uploading confidential content to any AI tool, including locally deployed platforms, and prohibits uploading personal information, privacy, and other sensitive data.
Academic Integrity
Shenzhen University guidance says serious violations of instructor AI-use rules, concealment, presenting AI-generated content as original work, or failing required disclosure/marking can affect course grades and may be handled under academic misconduct rules.
Review: Agent reviewed
Normalized value: serious_ai_misuse_may_trigger_grade_and_misconduct_consequences
Original evidence
Evidence 1对于严重违反任课教师规定、故意隐瞒人工智能技术使用情况、将人工智能生成内容作为本人原创、未按要求进行声明、标注等，情节严重的，可以按零分计入课程成绩，构成学术不端的，按照有关规定严肃处理。
Localized display only
Serious violations of instructor rules, concealment, presenting AI content as original, or failure to disclose/mark may be counted as zero and, if academic misconduct is constituted, handled under relevant rules.
Teaching
Shenzhen University guidance says course instructors should tell students whether AI technologies are permitted in coursework, papers, assessments, exams, and the permitted scope.
Review: Agent reviewed
Normalized value: instructor_discretion_with_disclosure
Original evidence
Evidence 1任课教师应当明确告知本班级学生是否允许在完成课程作业、论文、考查、考试等环节使用人工智能技术以及允许使用的范围、尺度等具体规定。允许使用的，一般应当要求学生进行声明并以恰当方式标注人工智能生成内容。
Localized display only
Course instructors should state whether AI use is allowed for assignments, papers, assessments, and exams, and generally require disclosure/marking when allowed.
Research
Shenzhen University guidance says researchers using AI technology in research activities should disclose the AI tool name, version, parameter settings, use, and verification process in appropriate parts of the work and follow publisher rules during publication.
Review: Agent reviewed
Normalized value: research_ai_use_disclosure_expected
Original evidence
Evidence 1在科研活动中使用了人工智能技术的，应当注意防范可能的知识产权侵权风险，应当在图注、注释、研究方法、致谢、附录等适当部分声明所使用人工智能工具的名称、版本、参数设置及使用、验证过程，并在学术成果发表过程中严格遵守出版机构的有关规定。
Localized display only
When AI technology is used in research, the guidance calls for disclosure of the AI tool name, version, parameter settings, use and verification process, and compliance with publisher rules.
Source Status
A public official Shenzhen University Graduate School page was found with the full text of the university academic ethics committee guidance on regulating AI technology use in teaching and research; a separate older board link redirects to identity authentication.
Review: Agent reviewed
Normalized value: public_official_ai_guidance_found_with_login_gated_duplicate_path
Original evidence
Evidence 1为深入贯彻落实国家关于开展“人工智能+”行动的战略部署，深入实施人工智能赋能教育行动，促进人工智能技术与教育教学、科学研究的深度融合，引导师生遵循诚实、透明、负责任的使用原则，合法合规使用人工智能技术，防止误用、滥用人工智能技术带来的科研诚信风险，结合我校实际情况，制定本指导意见。
Localized display only
The page states that the guidance was formulated for Shenzhen University to guide honest, transparent, responsible, lawful, and compliant AI technology use in teaching and research.
Ai Tool Treatment
Shenzhen University Library says it does not currently provide access or application support for the domestic and international AI tools listed on its GenAI resource page.
Review: Agent reviewed
Normalized value: library_lists_tools_without_access_or_application_support
Original evidence
Evidence 1深圳大学图书馆目前不提供对本页面上列出的国内外工具的访问与应用支持。
Localized display only
The library says it currently does not provide access or application support for the domestic and international tools listed on the page.
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
深圳大学学术道德专门委员会关于在教学科研活动中规范使用人工智能技术的指导意见
gra.szu.edu.cn
生成式人工智能专题
lib.szu.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.