public-release-20260715-005
Porównanie z public-release-20260714-002.
Tsinghua University public-release-20260715-005 różnica
Porównywanie public-release-20260714-002 z public-release-20260715-005.
Dziennik zmian
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Aktualna świeżość publicznych rekordów i stan weryfikacji.
Tsinghua University currently has 12 source-backed claim records and 3 official source attributions. Latest tracked changed date: 18 lip 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.
Ta strona łączy wszystkie publiczne diffy wydań dla Tsinghua University. Indywidualne migawki wersji pozostają dostępne pod adresami URL specyficznymi dla danej wersji.
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.
Właśnie wyodrębnione twierdzenia to dodania do trackeru i niekoniecznie są nowo opublikowane przez uniwersytet. Zmiany w migawce źródła pokazują zmiany sum kontrolnych dla tego samego URL źródłowego i same w sobie nie stanowią zmian polityki.
Klasyfikacja semantyczna dla tej różnicy wersji.
Zjednoczona różnica trackerów wygenerowana ze wszystkich publicznych migawek wydań dla tej uczelni.
Porównywanie public-release-20260714-002 z public-release-20260715-005.
1 różnica publicznej publikacji
Porównanie z public-release-20260714-002.
Porównywanie public-release-20260714-002 z public-release-20260715-005.
12 Twierdzenie rekordów
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 maj 2026, 04:55
official_policy_page Tracker checked at 6 maj 2026, 04:55
official_guidance Tracker checked at 15 lip 2026, 19:37