Beijing, China (Mainland)

Beijing Normal University

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources1Source languagezhPublic JSON/api/public/v1/universities/beijing-normal-university.json

Policy profile

Coverage score70/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence79%

Policy presence

No source-backed public AI policy or guidance record is present in this profile.

The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.

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

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

AI tools

Derived tool records1

AI tools

Beijing Normal University

Tool
AI tools
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Unknown
Review
Agent reviewed

Evidence-backed claims

4 reviewed evidence-backed public claim

Ai Tool Treatment

For undergraduate theses and designs, Beijing Normal University says use of generative artificial intelligence tools must be clearly and prominently marked or declared.

Review: Agent reviewedConfidence94%

Normalized value: generative AI tool use must be marked or declared in undergraduate thesis/design work

Original evidence

Evidence 1
毕业论文(设计)生成式人工智能工具使用须进行清晰、显著的标注或声明。

Localized display only

Use of generative AI tools in the thesis/design must be clearly and prominently marked or declared.

Academic Integrity

In the undergraduate thesis and design process, Beijing Normal University prohibits using artificial intelligence to commit ghostwriting, plagiarism, fabrication, and similar academic misconduct.

Review: Agent reviewedConfidence93%

Normalized value: AI-enabled ghostwriting, plagiarism, and fabrication prohibited for undergraduate thesis work

Original evidence

Evidence 1
在形成毕业论文(设计)过程中,严禁使用人工智能实施代写、剽窃、伪造等学术不端行为。

Localized display only

During thesis/design preparation, using AI for ghostwriting, plagiarism, fabrication, and similar academic misconduct is strictly prohibited.

Academic Integrity

Beijing Normal University states that AIGC detection results for 2026 undergraduate theses and designs are probabilistic and serve only as an auxiliary reference for academic norms, not as the basis for judging thesis originality.

Review: Agent reviewedConfidence93%

Normalized value: AIGC detection is auxiliary reference, not originality determination basis

Original evidence

Evidence 1
AIGC 检测结果是基于算法模型的概率性分析,存在技术局限性,仅作为学术规范性辅助参考,不作为论文原创性判定依据。

Localized display only

AIGC detection results are probabilistic, technically limited, and only an auxiliary academic-norm reference, not the basis for originality judgment.

Academic Integrity

For 2026 undergraduate theses and designs, Beijing Normal University says it will conduct comprehensive plagiarism detection and AIGC detection through the undergraduate thesis module of its teaching administration service platform.

Review: Agent reviewedConfidence92%

Normalized value: 2026 undergraduate thesis plagiarism and AIGC detection

Original evidence

Evidence 1
“本科生毕业论文(设计)”模块对 2026 届本科生毕业论文(设计)进行全面查重检测和 AIGC(人工智能生成内容)检测。

Localized display only

The undergraduate thesis module will conduct comprehensive plagiarism detection and AIGC detection for 2026 undergraduate theses/designs.

Candidate claims

0 machine or needs-review claim

Official sources

1 source attribution

Change log

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections

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