Lanzhou, China (Mainland)

Lanzhou University

Lanzhou University has 3 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 3 reviewed claims. Last checked May 20, 2026.

Lanzhou University AI policy short answer

v1 public contract

Lanzhou University has 3 source-backed AI policy claims from 1 official source attribution, including 3 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: Lanzhou University is listed as QS 2026 rank 791-800.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Lanzhou University as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 3 source-backed claims, including 3 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/lanzhou-university.json. The entity-level confidence is 96%. 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.

Claim coverage3 reviewedSource languagezh-CNPublic JSON/api/public/v1/universities/lanzhou-university.json

Policy signals in this record

  • Evidence includes Source status claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • No specific AI service name is highlighted by the current public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims3Reviewed3Candidate0Official sources1

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.

Coverage score70/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence78%

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Privacy and data entry

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

Lanzhou University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence77%Evidence1Sources1

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

3 reviewed evidence-backed public claim

Source Status

Lanzhou University's Teaching Affairs Office notice addresses management of 2025 undergraduate theses and designs.

Review: Agent reviewedConfidence96%

Normalized value: 2025_undergraduate_thesis_notice_scope

Original evidence

Evidence 1
关于做好2025届本科生毕业论文(设计)工作的通知。各教学单位:为持续加强本科毕业论文(含毕业设计,下同)管理工作,确保毕业论文质量,严肃学术纪律,强化学术诚信,加强学风建设,现就2025届本科生毕业论文工作安排如下。

Localized display only

The notice is about arrangements for 2025 undergraduate thesis and design work and frames them as thesis-quality, academic-discipline, and academic-integrity management.

Ai Tool Treatment

For 2025 undergraduate thesis work, Lanzhou University's Teaching Affairs Office notice supports teaching units in conducting AI-generated content detection and in guiding students to avoid over-reliance on AI.

Review: Agent reviewedConfidence91%

Normalized value: undergraduate_thesis_ai_generated_content_detection_supported

Original evidence

Evidence 1
支持各教学单位进一步严格毕业论文P值和F值检测标准,开展人工智能生成内容检测,从严引导学生树立规范意识和质量意识,避免过度依赖人工智能,确保毕业论文的独立性和原创性。

Localized display only

The notice supports teaching units in conducting AI-generated content detection, guiding students to avoid over-reliance on AI, and protecting thesis independence and originality.

Academic Integrity

For 2025 undergraduate thesis work, Lanzhou University's Teaching Affairs Office notice links thesis checks with preventing academic misconduct and ensuring thesis independence and originality.

Review: Agent reviewedConfidence90%

Normalized value: undergraduate_thesis_integrity_originality_ai_context

Original evidence

Evidence 1
各教学单位须依据《兰州大学本科毕业论文(设计)管理办法》中附件1“兰州大学本科毕业论文(设计)‘文字复制比’检测及处理实施细则”的相关要求执行,严防学术不端。支持各教学单位进一步严格毕业论文P值和F值检测标准,开展人工智能生成内容检测

Localized display only

The notice connects thesis text-copy checks and AI-generated content detection with preventing academic misconduct.

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

1 source attribution

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.

Last checkedMay 20, 2026Last changedMay 20, 2026Open change log

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.

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