Release diff
ETH Zurich
Unified tracker diff for public-release-20260523-001. Full source-page text is not published; short original-language evidence snippets are shown for citation context.
Unified diff
Release-to-release tracker changes generated from public release snapshots.
ETH Zurich public-release-20260523-001 diff
Initial tracked release.
+26-0
11 # ETH Zurich 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+privacy: 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.
5+Evidence (en, 3042c683ebe3): It is important to respect the privacy and copyright of the content being worked with... If data is passed on to AI-based tools or released for them, it must be clarified in advance that no rights are being violated.
46 ## Newly extracted tracker claim
57 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
8+teaching: 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.
9+Evidence (en, b8b7707c1be2): As a lecturer you are responsible for the content you provide to your students. This means that teaching materials created with GenAI must be subjected to quality control by you... You determine whether and how GenAI may be used in your courses.
610 ## Newly extracted tracker claim
711 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
12+ai_tool_treatment: 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.
13+Evidence (en, 976363c22960): The Gemini and NotebookLM offerings from Google, as well as Copilot from Microsoft, which are accessible via an ETH cloud subscription, are available to all ETH employees and students via secure access. It is therefore recommended that these tools be used primarily for teaching purposes.
814 ## Newly extracted tracker claim
915 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
16+teaching: 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.
17+Evidence (en, b8b7707c1be2): Transparency: Be transparent about your use of GenAI. Clearly state which tools you have used for which part of your work using the correct style guide.
1018 ## Newly extracted tracker claim
1119 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
20+academic_integrity: 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.
21+Evidence (en, 92d97c5c89e0): Legal aspects of GenAI uses are covered by the existing rules for performance assessments and the 'declaration of originality'. Violations such as use of unauthorised aids or non-disclosure of their use will continue to be subject to disciplinary action.
1222 ## Newly extracted tracker claim
1323 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
24+academic_integrity: 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.
25+Evidence (en, 3042c683ebe3): Technical recognition of output generated using generative AI is currently unreliable and will probably remain so in the future. Trust in such a method is therefore not appropriate.
1426 ## Newly extracted tracker claim
1527 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
28+teaching: ETH Zurich advocates a proactive approach to the use of generative AI in educational contexts, emphasising responsible use among students and lecturers.
29+Evidence (en, b8b7707c1be2): ETH Zurich advocates a proactive approach to the use of generative AI (GenAI) within educational contexts, emphasising the responsible use of this technology among students and lecturers.
1630 ## Newly extracted tracker claim
1731 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
32+academic_integrity: 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.
33+Evidence (en, b8b7707c1be2): Responsibility: You are responsible for the content of work you submit... Performance assessments must be conducted independently and personally. GenAI may serve a supplementary role, helping you but not replacing your efforts.
1834 ## Source attribution added
1935 An official source attribution was added to the tracker record.
36+Source https://aiethicspolicy.ethz.ch/ snapshot 55b5500f9a27f26bb3a9e115e48636d181ec344a598f87524555a462782703e2
37+Tracker checked at: 2026-05-05T17:43:30Z
2038 ## Source attribution added
2139 An official source attribution was added to the tracker record.
40+Source https://ethz.ch/content/dam/ethz/main/eth-zurich/education/ai_in_education/Generative%20AI%20in%20Teaching%20and%20Learning%20-%20Guidelines%20ETH.pdf snapshot 92d97c5c89e0587b434685b8d452d6286faa4559186186953560760dbe3e96e6
41+Tracker checked at: 2026-05-05T17:43:30Z
2242 ## Source attribution added
2343 An official source attribution was added to the tracker record.
44+Source https://ethz.ch/en/the-eth-zurich/education/ai-in-education.html snapshot b8b7707c1be2b9bb00134732987f0ee8cbd65bce1c9d379efcf8a426951f10a1
45+Tracker checked at: 2026-05-05T17:43:30Z
2446 ## Source attribution added
2547 An official source attribution was added to the tracker record.
48+Source https://ethz.ch/en/the-eth-zurich/education/ai-in-education/academic-integrity.html snapshot 3042c683ebe36c8f467e086f799c707f9d359e675e421dda3abac76e40362f15
49+Tracker checked at: 2026-05-05T17:43:30Z
2650 ## Source attribution added
2751 An official source attribution was added to the tracker record.
52+Source https://ethz.ch/en/the-eth-zurich/education/ai-in-education/tools.html snapshot 976363c229602b634733ef8f90fadb815c16c9b722317afd9bdf10914f543f1e
53+Tracker checked at: 2026-05-05T17:43:30Z
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Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes mean the same URL produced a different hash; that may be policy text, layout, navigation, or metadata.
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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.