Change log

Tsinghua University

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Review: Agent reviewedLast checkedMay 6, 2026Last changedMay 6, 2026Claims11Sources2Release records0

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Tsinghua University currently has 11 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 6, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for Tsinghua University. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

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11 # Tsinghua University AI policy record
2+other: Tsinghua University prohibits students from directly copying or mechanically paraphrasing AI-generated text, code, or other output and submitting it as academic coursework.
3+Evidence (zh, 4f2a7359e91b): 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。
4+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.
5+Evidence (zh, 4f2a7359e91b): 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。
6+other: Tsinghua University prohibits teachers and students from using sensitive information, classified data, or unauthorized data to train or operate AI models.
7+Evidence (zh, 4f2a7359e91b): 「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。
8+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.
9+Evidence (zh, 4f2a7359e91b): 「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。
10+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).
11+Evidence (zh, 4f2a7359e91b): 「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。
12+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.
13+Evidence (zh, 4f2a7359e91b): 「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。
14+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.
15+Evidence (zh, 4f2a7359e91b): 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。
16+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.
17+Evidence (zh, 4f2a7359e91b): 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。
18+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).
19+Evidence (zh, 4f2a7359e91b): 「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。
20+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).
21+Evidence (zh, 4f2a7359e91b): 「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。

Release history

0 public release diffs

Claim changes

11 claim records

other

Tsinghua University prohibits students from directly copying or mechanically paraphrasing AI-generated text, code, or other output and submitting it as academic coursework.