Policy presence
Peking University has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Beijing, China (Mainland)
北京大学
Peking University has 5 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 5 reviewed claims. Last checked May 6, 2026.
北京大学 AI policy short answer
v1 public contract
Peking University has 5 source-backed AI policy claims from 1 official source attribution, including 5 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 6, 2026. Discovery context: Peking University is listed as QS 2026 rank 14.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Peking University as an agent-reviewed AI policy record last checked on May 6, 2026 and last changed on May 6, 2026. The record contains 5 source-backed claims, including 5 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/peking-university.json. The entity-level confidence is 90%. 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.
Policy signals in this record
- Evidence includes Other policy claims.
- No specific AI service name is highlighted by the current public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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.
Coursework
Peking University has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
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.
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.
Academic integrity
Peking University has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.
Approved tools
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.
Named AI services
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.
Teaching guidance
Peking University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Peking University has 4 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
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
5 reviewed evidence-backed 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 reviewed
原始证据
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。
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 reviewed
原始证据
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。
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 reviewed
原始证据
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。
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 reviewed
原始证据
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。
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 reviewed
原始证据
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...
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
使用规范说明 - AI科研诚信平台
scielab.pku.edu.cn
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.
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.