University AI Policy Tracker

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

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Beijing, China (Mainland)

Peking University

Peking University is listed as QS 2026 rank 14. Peking University has 5 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Last checkedMay 6, 2026Last changedMay 6, 2026Review: Agent reviewedConfidence90%
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Citation-ready overview

v1 public contract

Peking University is listed as QS 2026 rank 14. Peking University has 5 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Reviewed claims5Candidate claims0Official sources1

Candidate claims are source-backed records pending review. They are not final policy conclusions and are not legal or academic integrity advice.

Reviewed claims

5 reviewed public claim

Other

Peking University's AI Scientific Integrity Platform defines AI use boundaries across seven research stages: topic selection, literature search and management, research design and implementation, paper writing, paper submission, paper review, and grant application and review.

Review: Agent reviewedConfidence90%
Last changed
May 6, 2026

Original evidence

Evidence 1
覆盖论文选题、文献检索与管理、研究设计与实施、论文写作、论文投稿、论文评审、基金申报与评审七个研究环节。
Source language
Chinese (zh)
Snapshot hash
d1e587a8dab6502a4ef59e10633212e32e1682744f543a38d437eb4c75da1186
Evidence locator
使用范围 section, first bullet point

Other

Peking University's AI use guidelines apply to faculty, students, researchers, and administrators who use generative AI or other AI-assisted tools in teaching, research, and management activities.

Review: Agent reviewedConfidence90%
Last changed
May 6, 2026

Original evidence

Evidence 1
适用于在教学、科研与管理活动中引入生成式人工智能或其他AI辅助工具的教师、学生、科研人员与管理人员。
Source language
Chinese (zh)
Snapshot hash
d1e587a8dab6502a4ef59e10633212e32e1682744f543a38d437eb4c75da1186
Evidence locator
使用范围 section, second bullet point

Other

Peking University classifies AI use in research into three tiers: open use (low risk, broadly applicable), limited use (moderate risk, requires verification and constraints), and prohibited use (high risk or violation, forbidden).

Review: Agent reviewedConfidence90%
Last changed
May 6, 2026

Original evidence

Evidence 1
开放使用：指在特定的环节或场景中，应用生成式AI的风险较低或几乎不存在风险，具有普适性或广泛适用性的情形。有限使用：指在特定的环节或场景中，应用生成式AI存在一定的风险，需要进行核查、规范或约束的情形。不可使用：指在特定的环节或场景中，应用生成式AI存在高风险或违规，禁止使用的情形。
Source language
Chinese (zh)
Snapshot hash
d1e587a8dab6502a4ef59e10633212e32e1682744f543a38d437eb4c75da1186
Evidence locator
使用规定 section, three definitions

Other

Peking University distinguishes two levels of AI involvement in research: instrumental assistance (using AI as a tool to handle routine or repetitive tasks) and replacement completion (using AI to independently complete tasks involving core intellectual contribution and creative labor).

Review: Agent reviewedConfidence85%
Last changed
May 6, 2026

Original evidence

Evidence 1
工具性辅助：指将生成式AI作为一种增强人类能力的工具，用于处理流程化、重复性或辅助性的任务。替代性完成：指将生成式AI用于独立完成本应由科研工作者承担的、涉及核心智力贡献和创造性劳动的任务。
Source language
Chinese (zh)
Snapshot hash
d1e587a8dab6502a4ef59e10633212e32e1682744f543a38d437eb4c75da1186
Evidence locator
介入程度 section, two definitions

Other

Peking University's AI Scientific Integrity Platform synthesizes AI use policies from 18 domestic and international sources, including Chinese government agencies (MOST, NSFC), Chinese universities (Fudan, Nanjing, Sichuan), international bodies (EU Commission, NIH), and universities (Harvard, Yale, Cambridge, UCL, Oxford, MIT).

Review: Agent reviewedConfidence85%
Last changed
May 6, 2026

Original evidence

Evidence 1
科技部监督司—负责任研究行为规范指引 国家自然科学基金—科研诚信规范手册 中国科学技术信息研究所—学术出版中AIGC使用边界指南2.0 中国科学院—关于在科研活动中规范使用人工智能技术的诚信提醒 复旦大学—关于在本科毕业论文（设计）中使用AI工具的规定 南京大学—关于本科生规范使用生成式人工智能工具的指导意见 四川大学—四川大学本科教育教学人工智能工具应用规范 欧盟委员会—Living Guidelines on the Responsible Use of Generative AI in Research 美国国立卫生研究院（NIH）-The Use of Generative Artificial Intelligence Technologies is Prohibited for the NIH Peer Review ProcessSpringer Nature-Editorial Policies on AI 哈佛大学-Generative AI Guidelines 耶鲁大学-Guidelines for the Use of Generative AI Tools 剑桥大学-Cambridge launches AI research ethics policy 伦敦大学学院-GenAI and academic integrity in assessment 牛津大学-Policy for using Generative AI in Research: guidelines for researchers and professional staff...
Source language
Chinese (zh)
Snapshot hash
d1e587a8dab6502a4ef59e10633212e32e1682744f543a38d437eb4c75da1186
Evidence locator
所有分析的来源文献 section

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

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