public-release-20260715-005
Comparé à public-release-20260714-002.
différentiel Tsinghua University public-release-20260715-005
Comparaison de public-release-20260714-002 avec public-release-20260715-005.
Journal des modifications
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Actualité des dossiers publics et état d'examen actuel.
Tsinghua University currently has 12 source-backed claim records and 3 official source attributions. Latest tracked changed date: 18 juil. 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.
Cette page combine toutes les différences de publication publique pour Tsinghua University. Les instantanés des versions individuelles restent disponibles via leurs URL spécifiques à la version.
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.
Les affirmations récemment extraites sont des ajouts au suivi et ne sont pas nécessairement de nouvelles publications de l'université. Les changements d'instantané source montrent des variations de hachage pour la même URL source et ne constituent pas en eux-mêmes des changements de politique.
Classification sémantique pour cette différence de version.
Diffusion unifiée du suivi générée à partir de toutes les captures instantanées de version publique pour cette université.
Comparaison de public-release-20260714-002 avec public-release-20260715-005.
1 diff de publication publique
Comparé à public-release-20260714-002.
Comparaison de public-release-20260714-002 avec public-release-20260715-005.
12 Affirmation enregistrements
Xiaoda is listed for Tsinghua University in an official university AI tools source. Derived availability: conditionally allowed. Derived endorsement type: officially endorsed.
Tsinghua University prohibits students from directly copying or mechanically paraphrasing AI-generated text, code, or other output and submitting it as academic coursework.
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.
Tsinghua University prohibits teachers and students from using sensitive information, classified data, or unauthorized data to train or operate AI models.
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.
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).
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.
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.
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.
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).
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).
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.
3 source attributions
official_policy_page Tracker checked at 6 mai 2026, 04:55
official_policy_page Tracker checked at 6 mai 2026, 04:55
official_guidance Tracker checked at 15 juil. 2026, 19:37