Policy presence
Donghua University has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Shanghai, China (Mainland)
Donghua University
Donghua University has 4 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.
Donghua University AI policy short answer
v1 public contract
Donghua University has 4 source-backed AI policy claims from 2 official source attributions, including 4 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 20, 2026. Discovery context: Donghua University is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Donghua University as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 4 source-backed claims, including 4 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/donghua-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 Academic integrity claims.
- Evidence includes Source status claims.
- No specific AI service name is highlighted by the current 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
Donghua University has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
Donghua University has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
Donghua University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: conditionally_allowed.
Academic integrity
Donghua University has 3 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
Donghua University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Donghua 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
4 reviewed evidence-backed public claim
Academic Integrity
Donghua University's 2024 academic-misconduct implementation rules define academic misconduct as conduct by current faculty, staff, and students in scientific research and related activities that violates recognized academic standards and academic integrity.
Review: Agent reviewed
Normalized value: Academic misconduct scope covers current faculty, staff, and students in research-related activities.
Original evidence
Evidence 1第二条 本细则所称学术不端行为是指学校在职教职员工和学生在科学研究及相关活动中发生的违反公认的学术准则、违背学术诚信的行为。
Localized display only
Article 2 defines academic misconduct as current Donghua faculty, staff, and students violating recognized academic standards and academic integrity in scientific research and related activities.
Academic Integrity
Donghua University's 2024 rules assign the school academic committee or its authorized committee to decide whether a reported academic-misconduct matter enters formal investigation, and say formal investigations use an investigation group of at least three people.
Review: Agent reviewed
Normalized value: Formal academic-misconduct investigation requires committee decision and at least three investigators.
Original evidence
Evidence 1第十一条 学术不端行为举报受理后，交由校学术委员会或其授权下属专门委员会作出是否进入正式调查的决定。第十三条 校学术委员会或其授权下属专门委员会组成不少于3人的调查组，对被举报行为进行调查。
Localized display only
Articles 11 and 13 say the academic committee or authorized committee decides whether a report enters formal investigation, and that the investigation group has at least three members.
Academic Integrity
Donghua University's 2024 academic-misconduct rules state that students found to have academic misconduct can be handled under the university student discipline rules, with possible additional consequences including delayed degree conferral, denial of degree, or lawful revocation of degree.
Review: Agent reviewed
Normalized value: Student academic-misconduct consequences may include disciplinary handling and degree-related consequences.
Original evidence
Evidence 1对发生学术不端行为的学生，可根据情节严重程度，按《东华大学学生违纪处分规定》所列处分类型处理。同时，可依据学术不端行为产生的后果，选择下列一项或几项并处：……暂缓授予学位、不授予学位或者依法撤销学位等。
Localized display only
The rules say students with academic misconduct may be handled under Donghua student discipline rules and may also face delayed degree conferral, denial of degree, or lawful degree revocation.
Source Status
Donghua University's official news page reports that a March 2024 AI research-support and integrity activity covered reasonable application of AI tools in thesis work, and says Donghua University journals had published AIGC-use rules covering author details and investigation methods.
Review: Agent reviewed
Normalized value: Official news reports AI thesis-use training and journal AIGC-use rules; no university-wide GenAI policy located in this crawl.
Original evidence
Evidence 1知网培训服务专家现场围绕大学生毕业论文选题、开题、撰写、答辩、科研规范与学术诚信，以及AI工具的合理应用等方面展开速训。技术向善要他律更要自律。《东华大学学报（自然科学版）》《东华大学学报（社会科学版）》等刊在去年底公布了对于AIGC技术使用的有关规定，其中不仅涉及了作者要遵守的细则，也提出了查处方式。
Localized display only
The official news item says training covered reasonable AI-tool application in thesis work, research norms and academic integrity, and that Donghua journals had published AIGC-use rules covering author details and investigation methods.
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
AI助研 诚信共建——大学生毕业季知网课堂校园行全国首站在校启动
dhu.edu.cn
东华大学学术不端行为处理实施细则（东华研〔2024〕1号）
xxgk.dhu.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.