Policy presence
Shanghai University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Shanghai, China (Mainland)
Shanghai University
Shanghai University is listed as QS 2026 rank =465. Shanghai University has 6 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Shanghai University is listed as QS 2026 rank =465. Shanghai University has 6 source-backed AI policy claim records from 5 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 Shanghai 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 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/shanghai-university.json. The entity-level confidence is 90%. 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 Research claims.
- Evidence includes Teaching claims.
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Source status claims.
- No specific AI service name is highlighted by the current 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
Shanghai University has 4 source-backed public claims for coursework; deterministic analysis status: allowed.
Exams
Shanghai University has 4 source-backed public claims for exams; deterministic analysis status: allowed.
Privacy and data entry
Shanghai University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: recommended.
Academic integrity
Shanghai University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
Approved tools
Shanghai University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
Shanghai University has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
Teaching guidance
Shanghai University has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Shanghai University has 2 source-backed public claims 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
6 reviewed evidence-backed public claim
Research
Shanghai University's technology ethics notice states that university units and individuals conducting AI, big-data, and related teaching or research activities involving people, animals, or other technology-ethics matters should apply in advance for ethics review related to technology safety, including bioinformation security and data security, and may proceed only after approval.
Review: Agent reviewed
Normalized value: ai_big_data_related_teaching_research_with_ethics_scope_requires_prior_ethics_review
Original evidence
Evidence 1本校单位和个人从事生物医学实验以及人工智能、大数据等涉及人和动物及其他相关涉及科技伦理的相关教学、科研活动，根据科学研究的需要，均应事先申请进行与科技安全（生物信息安全、数据安全等）相关的伦理审查工作，经科技伦理委员会批准后方可进行，并接受科技伦理委员会监督检查。
Localized display only
The notice says university units and individuals conducting biomedical experiments and AI, big-data, or related teaching/research activities involving people, animals, or technology ethics should apply in advance for technology-safety ethics review, including bioinformation and data security, and proceed after committee approval.
Teaching
Shanghai University's Qianxue Baike AI Smart Platform includes an AI teaching page with AI literacy, AI+ course, and AI practice sections and lists generative AI, prompt engineering, LLMOps, AI ethics, and large-model application learning resources.
Review: Agent reviewed
Normalized value: official_ai_platform_lists_ai_teaching_and_literacy_resources
Original evidence
Evidence 1AI素养 AI+课程 AI实战 DeepSeek安装部署教程 生成式人工智能介绍 生成式人工智能 ChatGPT Prompt Engineering for Developers LLMOps 信息社会与人工智能 人工智能伦理 大模型赋能与应用 人工智能知识素养
Localized display only
The AI teaching page lists AI literacy, AI+ course, AI practice, and resources including generative AI, prompt engineering, LLMOps, AI ethics, large-model applications, and AI knowledge literacy.
Academic Integrity
Shanghai University's academic committee meeting report says the draft temporary generative AI use guide was intended to guide responsible use of generative AI tools in teaching and research, uphold academic integrity, protect data security, and support AI-enabled education reform.
Review: Agent reviewed
Normalized value: temporary_guide_intended_for_responsible_use_academic_integrity_data_security
Original evidence
Evidence 1他阐述了指南制定的背景、依据国家政策法规及兄弟高校经验和主要内容，旨在引导师生在教学、科研活动中负责任地使用生成式人工智能工具，恪守学术诚信，保障数据安全，并推动AI赋能教育教学改革。
Localized display only
The report says the guide aims to guide responsible use of generative AI tools in teaching and research, uphold academic integrity, protect data security, and promote AI-enabled education reform.
Ai Tool Treatment
Shanghai University's Qianxue Baike AI Smart Platform AI toolbox lists AI tools by categories including chat, paper writing, office writing, image, video, audio, coding, and other tools; this crawl did not find source text saying these tools are approved for assessed work.
Review: Agent reviewed
Normalized value: official_ai_toolbox_lists_tool_categories_no_assessed_work_approval_found
Original evidence
Evidence 1对话聊天 论文写作 办公写作 图像工具 视频工具 音频工具 编码工具 其他 对话聊天 百小问 跃问 华为小艺 腾讯元宝 海螺AI DeepSeek 通义千问 抖音豆包 论文写作 千笔AI论文 稿易论文写作 Writefull PaperPal Iris AI
Localized display only
The official AI toolbox page lists categories such as chat, paper writing, office writing, image, video, audio, coding, and other tools, with examples including DeepSeek, Tongyi Qianwen, Qianbi AI Paper, and Writefull.
Teaching
Shanghai University's Academic Affairs Department held a generative AI teaching report that discussed course-specific AI-enabled teaching uses such as AI teaching assistants, AI-assisted personalized case analysis, online-course construction, intelligent learning companions, agent collaboration, and literature reading comprehension.
Review: Agent reviewed
Normalized value: academic_affairs_report_discussed_ai_enabled_teaching_modes
Original evidence
Evidence 1她提出，教师可以“因课制宜”开展AI赋能教学，将人工智能技术与教学相结合打造AI课程，如AI助教、AI工具辅助个性化案例分析、利用人工智能技术建设在线课程、利用AI实现智能学伴、智能体协作与文献阅读理解等。
Localized display only
The report described course-specific AI-enabled teaching examples, including AI teaching assistants, AI-assisted personalized case analysis, online-course construction, intelligent learning companions, agent collaboration, and literature reading comprehension.
Source Status
Accessible official discovery found an official meeting report stating that Shanghai University's temporary generative AI use guide was under development and revision; no standalone accessible guide text was located in this crawl.
Review: Agent reviewed
Normalized value: central_guide_reported_under_revision_no_accessible_standalone_text_found
Original evidence
Evidence 1学术委员会秘书处施鹰秘书长汇报了《上海大学生成式人工智能使用指南》（暂行）制定情况。委员们就指南的名称、逻辑框架以及加强师生培训等提出了讨论和建议。刘昌胜主任委员介绍了学校正在推进的AI课程全覆盖计划，要求秘书处结合委员意见进一步修改完善指南。
Localized display only
The academic committee report says the secretariat presented the drafting status of the temporary Shanghai University generative AI use guide and was asked to revise and improve it.
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
5 source attribution
【伦理】上海大学科技伦理申请注意事项
ece.shu.edu.cn
AI工具箱-上海大学千学百科AI智慧平台
aiforall.shu.edu.cn
AI教学站-上海大学千学百科AI智慧平台
aiforall.shu.edu.cn
AI赋能教学 数智引领改革——教务部举办“生成式人工智能赋能教育教学”专题报告会
shu.edu.cn
上海大学第三届学术委员会第4次全体会议顺利召开
shu.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.