Policy presence
Zhejiang University has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Hangzhou, China (Mainland)
Zhejiang University is listed as QS 2026 rank 49. Zhejiang University has 1 source-backed AI policy claim record from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Zhejiang University is listed as QS 2026 rank 49. Zhejiang University has 1 source-backed AI policy claim record from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Zhejiang University has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Zhejiang University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
No source-backed public claim about coursework AI use is present in this profile.
The current public tracker record does not contain claim evidence about coursework, assignments, or syllabus-level AI use.
No source-backed public claim about exam AI use is present in this profile.
The current public tracker record does not contain claim evidence about exams, tests, quizzes, or examination conditions.
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Zhejiang University has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.
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.
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.
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.
Zhejiang University has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
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.
1 reviewed evidence-backed public claim
Research
Normalized value: journal_policy_ai_authorship_prohibited_and_disclosure_required
Original evidence
Evidence 11. Principle of Human Authorship: Artificial intelligence (AI) or large language models (LLMs) cannot be listed as an author or co-author of a manuscript. Authorship and order of authors must be predicated on substantive intellectual contributions.
Localized display only
AI and LLMs cannot be listed as authors or co-authors of a manuscript.
Original evidence
Evidence 23. Obligation for Transparent Disclosure: Any substantive use of generative AI tools during the preparation of a manuscript must be disclosed explicitly and in detail within the paper. Failure to disclose such use, if discovered, will be treated as a form of academic misconduct.
Localized display only
Substantive generative AI use during manuscript preparation must be disclosed explicitly and in detail.
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.
1 source attribution
jzus.zju.edu.cn
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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.
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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.