Policy presence
Tsinghua University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Beijing, China (Mainland)
Tsinghua University
Tsinghua University has 11 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 11 reviewed claims. Last checked May 6, 2026.
Tsinghua University AI policy short answer
v1 public contract
Tsinghua University has 11 source-backed AI policy claims from 2 official source attributions, including 11 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: Tsinghua University is listed as QS 2026 rank =17.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Tsinghua University as an agent-reviewed AI policy record last checked on May 6, 2026 and last changed on May 6, 2026. The record contains 11 source-backed claims, including 11 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/tsinghua-university.json. The entity-level confidence is 95%. 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.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the 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
Tsinghua University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
Tsinghua University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
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
Tsinghua University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Tsinghua University has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
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
Tsinghua University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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
11 reviewed evidence-backed public claim
Other
Tsinghua University prohibits students from directly copying or mechanically paraphrasing AI-generated text, code, or other output and submitting it as academic coursework.
Review: Agent reviewed
Evidence originale
Evidence 1鼓励同学们在遵守课程规定的前提下积极探索人工智能工具辅助学习，但严禁将人工智能生成的文本、代码等内容直接复制或简单转述后作为学业成果提交。
Other
Tsinghua University prohibits using AI to replace academic training that graduate students are expected to complete independently, and strictly forbids AI-assisted ghostwriting, plagiarism, and fabrication in theses, dissertations, and practical achievements.
Review: Agent reviewed
Evidence originale
Evidence 1禁止用人工智能代替本应由本人进行的学术训练，严禁使用人工智能实施代写、剽窃、伪造等行为。
Other
Tsinghua University prohibits teachers and students from using sensitive information, classified data, or unauthorized data to train or operate AI models.
Review: Agent reviewed
Evidence originale
Evidence 1「数据安全」原则划出清晰红线，严禁师生使用敏感信息、涉密数据或未授权数据训练或驱动人工智能模型。
Other
Tsinghua University's Guiding Principles establish five core principles for AI in education: principal responsibility (AI as auxiliary tool, teachers and students as primary agents), compliance and integrity, data security, prudence and critical thinking, and fairness and inclusiveness.
Review: Agent reviewed
Evidence originale
Evidence 1「总则」部分明确了学校「积极而审慎」的基本立场，并提出「主体责任」「合规诚信」「数据安全」「审慎思辨」「公平包容」五大核心原则。
Other
Tsinghua University affirms that AI must remain an auxiliary tool and that teachers and students are the primary agents in teaching and learning (principal responsibility principle).
Review: Agent reviewed
Evidence originale
Evidence 1「主体责任」原则强调人工智能始终是辅助工具，师生才是教学与学习的主导者。
Other
Tsinghua University requires teachers and students to disclose their use of AI and AI-generated content in accordance with regulations, as part of the 'compliance and integrity' principle.
Review: Agent reviewed
Evidence originale
Evidence 1「合规诚信」原则要求师生对人工智能使用情况及生成内容依规进行披露声明，严禁学术不端。
Other
Tsinghua University advises instructors to determine how AI should be used according to course objectives, clearly explain AI usage norms to students at the start of each course, and remain responsible for AI-generated teaching materials.
Review: Agent reviewed
Evidence originale
Evidence 1建议教师们基于教学目标自主制定人工智能的应用方式与程度，在课程开始时向学生明确说明使用规范，并对人工智能生成的教学内容负责。
Other
Tsinghua University requires graduate supervisors to provide normative guidance on AI use and maintain full-process oversight to ensure the integrity of academic training and the originality of theses, dissertations, and practical achievements.
Review: Agent reviewed
Evidence originale
Evidence 1研究生指导教师需在此过程中提供规范性指导并进行全过程监督，确保学术训练的完整性和学位论文及实践成果的原创性。
Other
Tsinghua University urges vigilance toward AI 'hallucinations' and stresses multi-source verification to guard against cognitive complacency from overreliance on AI (prudence and critical thinking principle).
Review: Agent reviewed
Evidence originale
Evidence 1「审慎思辨」原则提醒师生警惕人工智能「幻觉」，应通过多源验证防范因过度依赖导致的思维惰化。
Other
Tsinghua University's Guiding Principles call for identifying and mitigating algorithmic bias and the digital divide to ensure technology serves the public good (fairness and inclusiveness principle).
Review: Agent reviewed
Evidence originale
Evidence 1「公平包容」原则呼吁主动识别并努力降低算法偏见与数字鸿沟，推动技术向善。
Other
Tsinghua University explicitly encourages and supports faculty and students to pursue innovative applications of AI in teaching and learning, and commits to recognizing and promoting exemplary practices.
Review: Agent reviewed
Evidence originale
Evidence 1学校积极鼓励并支持全体师生勇于探索人工智能在教育教学中的创新性应用，并将对优秀实践给予肯定与推广。
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
2 source attribution
【深改进行时】《清华大学人工智能教育应用指导原则》发布
tsinghua.edu.cn
Tsinghua University releases comprehensive guiding principles for AI in education
tsinghua.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.