University AI Policy Tracker

Open, evidence-backed AI policy records for public reuse.

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Beijing Normal University

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Review: Agent reviewedLast checkedMay 16, 2026Last changedMay 16, 2026Claims4Sources1
University pagePublic JSON

Change summary

Current public record freshness and review state.

Beijing Normal University currently has 4 source-backed claim records and 1 official source attribution. Latest tracked changed date: May 16, 2026.

This tracker 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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

Beijing Normal University current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+8-0
11 # Beijing Normal University AI policy record
2+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.
3+Evidence (zh, 871e599f92ad): 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。
4+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.
5+Evidence (zh, 871e599f92ad): 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。
6+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.
7+Evidence (zh, 871e599f92ad): 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。
8+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.
9+Evidence (zh, 871e599f92ad): “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。

Claim changes

4 claim records

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%Evidence1Languageszh

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%Evidence1Languageszh

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%Evidence1Languageszh

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%Evidence1Languageszh

Source snapshots

1 source attribution