Change log

清华大学

Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.

Change summary

Current public record freshness and review state.

清华大学 currently has 12 source-backed claim records and 3 official source attributions. Latest tracked changed date: Jul 15, 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.

This page combines all public release diffs for 清华大学. Individual release snapshots remain available from their release-specific URLs.

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.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted1Evidence0Source snapshots0Source text0Source added1Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

清华大学 combined release diff

Comparing public-release-20260714-002 to public-release-20260715-005.

+5-0
11 # Tsinghua University AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+ai_tool_treatment: Xiaoda is listed for Tsinghua University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.
5+Evidence (en, 9434473ddaca): Tsinghua University has unveiled Xiaoda, a large language model tool to support student development. In 2024, Tsinghua launched Xiaoda as part of its educational AI tools; its chatbot-style interface was introduced to all incoming freshmen. Xiaoda is driven by a university-developed large language model.
6+Tracker checked at: 2026-07-15T19:37:43.896Z
47 ## Source attribution added
58 An official source attribution was added to the tracker record.
9+Source https://www.tsinghua.edu.cn/en/info/1418/14423.htm snapshot 9434473ddaca8d2fe980f2b46610c83958db3c7c6e5fd1a87b68b3ed03947233
10+Tracker checked at: 2026-07-15T19:37:43.896Z

Release history

1 public release diff

public-release-20260715-005

Compared with public-release-20260714-002.

Policy text0Newly extracted1Source snapshots0Source text0

清华大学 public-release-20260715-005 diff

Comparing public-release-20260714-002 to public-release-20260715-005.

+5-0
11 # Tsinghua University AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+ai_tool_treatment: Xiaoda is listed for Tsinghua University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.
5+Evidence (en, 9434473ddaca): Tsinghua University has unveiled Xiaoda, a large language model tool to support student development. In 2024, Tsinghua launched Xiaoda as part of its educational AI tools; its chatbot-style interface was introduced to all incoming freshmen. Xiaoda is driven by a university-developed large language model.
6+Tracker checked at: 2026-07-15T19:37:43.896Z
47 ## Source attribution added
58 An official source attribution was added to the tracker record.
9+Source https://www.tsinghua.edu.cn/en/info/1418/14423.htm snapshot 9434473ddaca8d2fe980f2b46610c83958db3c7c6e5fd1a87b68b3ed03947233
10+Tracker checked at: 2026-07-15T19:37:43.896Z

Claim changes

12 claim records

ai_tool_treatment

Xiaoda is listed for Tsinghua University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.

Review: Agent reviewedConfidence97%Evidence1Languagesen

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 reviewedConfidence95%Evidence1Languageszh

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 reviewedConfidence95%Evidence1Languageszh

other

Tsinghua University prohibits teachers and students from using sensitive information, classified data, or unauthorized data to train or operate AI models.

Review: Agent reviewedConfidence95%Evidence1Languageszh

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 reviewedConfidence95%Evidence1Languageszh

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 reviewedConfidence95%Evidence1Languageszh

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 reviewedConfidence90%Evidence1Languageszh

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 reviewedConfidence90%Evidence1Languageszh

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 reviewedConfidence90%Evidence1Languageszh

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 reviewedConfidence90%Evidence1Languageszh

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 reviewedConfidence85%Evidence1Languageszh

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 reviewedConfidence85%Evidence1Languageszh

Source snapshots

3 source attributions

【深改进行时】《清华大学人工智能教育应用指导原则》发布

official_policy_page Tracker checked at May 6, 2026, 4:55 AM

Snapshot hash
4f2a7359e91b646b62f296ba5f53eb673d2aeee1697230e17dd2469aef70ab35

Tsinghua University releases comprehensive guiding principles for AI in education

official_policy_page Tracker checked at May 6, 2026, 4:55 AM

Snapshot hash
6faff69fc581e6ba0d01c88d70b50709dbdc659a657d76ac6519f279fc82aced

Tsinghua’s student AI growth assistant Xiaoda | Tsinghua University

official_guidance Tracker checked at Jul 15, 2026, 7:37 PM

Snapshot hash
9434473ddaca8d2fe980f2b46610c83958db3c7c6e5fd1a87b68b3ed03947233