public-release-20260715-005
Dibandingkan dengan public-release-20260714-002.
ETH Zurich public-release-20260715-005 perbezaan
Membandingkan public-release-20260714-002 dengan public-release-20260715-005.
Log perubahan
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Kesegaran rekod awam semasa dan keadaan semakan.
ETH Zurich currently has 11 source-backed claim records and 6 official source attributions. Latest tracked changed date: 18 Jul 2026. Latest tracker diff: 0 comparable policy-text changes, 3 newly extracted claims, 1 source snapshot changes.
Halaman ini menggabungkan semua perbezaan pelepasan awam untuk ETH Zurich. Snapshot pelepasan individu kekal boleh diakses dari URL khusus pelepasan mereka.
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.
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Klasifikasi semantik untuk perbezaan keluaran ini.
Perbezaan penjejak bersatu dijana daripada semua snapshot pelepasan awam untuk universiti ini.
Membandingkan public-release-20260714-002 dengan public-release-20260715-005.
1 perbezaan pelepasan awam
Dibandingkan dengan public-release-20260714-002.
Membandingkan public-release-20260714-002 dengan public-release-20260715-005.
11 rekod Tuntut
Google NotebookLM is listed for ETH Zurich in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Microsoft Copilot is listed for ETH Zurich in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
Google Gemini is listed for ETH Zurich in an official university AI tools source. Derived availability: allowed. Derived endorsement type: institutionally licensed or procured.
ETH Zurich advocates a proactive approach to the use of generative AI in educational contexts, emphasising responsible use among students and lecturers.
Students are responsible for the content of work they submit. Performance assessments must be conducted independently and personally; GenAI may serve a supplementary role but not replace student efforts.
Lecturers determine whether and how GenAI may be used in their courses and for respective assessments. Teaching materials created with GenAI must be subjected to quality control by the lecturer.
Violations of GenAI guidelines such as use of unauthorised aids or non-disclosure of their use are subject to disciplinary action under existing performance assessment rules and the declaration of originality.
ETH Zurich recommends Microsoft Copilot, Google Gemini, and NotebookLM for teaching purposes, as they offer data-protected access via ETH accounts where personal data is not used for training models.
Students must refrain from disclosing copyrighted, private, or confidential information to commercial GenAI clients unless expressly permitted, and must respect privacy and copyright of content they work with.
ETH Zurich requires transparency about GenAI use: students must declare which tools they used and for which parts of their work; lecturers must communicate when GenAI use is permitted and make their own GenAI use visible.
ETH Zurich states that technical recognition of AI-generated output is currently unreliable and will probably remain so; trust in such methods is not appropriate.
6 source attributions
official_guidance Tracker checked at 5 Mei 2026, 5:43 PTG
official_guidance Tracker checked at 5 Mei 2026, 5:43 PTG
official_guidance Tracker checked at 5 Mei 2026, 5:43 PTG
official_guidance Tracker checked at 15 Jul 2026, 6:06 PTG
official_guidance Tracker checked at 5 Mei 2026, 5:43 PTG
official_policy_page Tracker checked at 5 Mei 2026, 5:43 PTG