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EPFL – École polytechnique fédérale de Lausanne
Geünificeerde trackerdiff voor public-release-20260523-001. De volledige tekst van de bronpagina wordt niet gepubliceerd; korte bewijsfragmenten in de oorspronkelijke taal worden getoond voor citatiecontext.
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EPFL – École polytechnique fédérale de Lausanne public-release-20260523-001 verschil
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11 # EPFL – École polytechnique fédérale de Lausanne 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+academic_integrity: EPFL requires students to disclose the use of AI tools in assessment work. EPFL rules (Lex 1.3.3, Article 4) require that all assessment material that is not the student's personal and original contribution must be recognizable as such.
5+Evidence (en, 87edcd847e7d): EPFL rules (Lex 1.3.3, Article 4) require that all assessment material that is not the student’s personal and original contribution must be recognizable as such. Therefore, the use of AI tools should be disclosed in a statement.
6+Tracker checked at: 2026-05-10T15:10:00Z
47 ## Newly extracted tracker claim
58 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
9+privacy: EPFL advises students not to input confidential, private or personal information into generative AI tools. When using generative AI tools, students are sharing data with private companies and lose control over it.
10+Evidence (en, 5eeaf435b051): Never input confidential, private or personal information about yourself or others into these tools. Always reflect first on the nature of the information you are using, because once you enter it into one of these tools, it’s no longer confidential.
11+Tracker checked at: 2026-05-10T15:10:00Z
612 ## Newly extracted tracker claim
713 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
14+teaching: EPFL recommends that teachers make explicit to students what AI use is not legitimate in a course and what rules accompany AI tool use.
15+Evidence (en, fba7ab5ff6ba): Since there is no ‘one-size-fits-all’ rule regarding the use of AI in assessment, it is recommended that teachers make explicit to students what kind of use is not legitimate in their course, and what rules accompany the use of AI tools.
16+Tracker checked at: 2026-05-10T15:10:00Z
817 ## Newly extracted tracker claim
918 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
19+academic_integrity: EPFL considers the use of AI-generated content in assignments without proper attribution as AI plagiarism. Tools that detect AI-generated content are not admissible as stand-alone evidence of AI plagiarism due to high risk of false positives.
20+Evidence (en, 2760bf9bac8e): The use of AI-generated content in assignments without proper attribution is considered AI plagiarism. Tools that specifically aim to detect whether content was AI-generated (e.g., turnitin ) are not admissible as stand-alone evidence of AI plagiarism due to their high risk of false positives
21+Tracker checked at: 2026-05-10T15:10:00Z
1022 ## Newly extracted tracker claim
1123 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
24+privacy: EPFL guidance says enterprise licenses such as Microsoft 365 Copilot via EPFL account are currently not a secure solution for processing regulated data because EPFL has not signed a data processing agreement guaranteeing aligned data protection measures.
25+Evidence (en, 2760bf9bac8e): However, enterprise licenses such as Microsoft 365 Copilot via your EPFL account are currently not a secure solution for processing regulated data, because no data processing agreement has been signed by EPFL that would guarantee that data protection measures align with institutional needs or with Swiss legislation on personal data protection.
26+Tracker checked at: 2026-05-10T15:10:00Z
1227 ## Source attribution added
1328 An official source attribution was added to the tracker record.
29+Source https://www.epfl.ch/about/vice-presidencies/fr/vice-presidence-academique-vpa/conseils-pour-lutilisation-de-lia-generative-dans-la-recherche-et-leducation/ snapshot 0c8f94c33e323d9186a4728a89f8629ff00be9a07f40d632c9604b99f1b69856
30+Tracker checked at: 2026-05-10T15:10:00Z
1431 ## Source attribution added
1532 An official source attribution was added to the tracker record.
33+Source https://www.epfl.ch/about/vice-presidencies/vice-presidency-for-academic-affairs-vpa/tips-for-the-use-of-generative-ai-in-research-and-education/ snapshot 5eeaf435b05194c1df42edec4c82f305a9971d53eadf7ce1392453f738937014
34+Tracker checked at: 2026-05-10T15:10:00Z
1635 ## Source attribution added
1736 An official source attribution was added to the tracker record.
37+Source https://www.epfl.ch/campus/library/artificial-intelligence-and-scientific-information/ snapshot 2e05d621613cfe4dca9f7251ec1bdd2265f80f84f5b2a14824ae580fd0072688
38+Tracker checked at: 2026-05-10T15:10:00Z
1839 ## Source attribution added
1940 An official source attribution was added to the tracker record.
41+Source https://www.epfl.ch/education/teaching/ai-tools-and-student-assessment/ snapshot fba7ab5ff6baa8b705ec86e53353af3c699c78ed3d7b123580158d2b708ca8b8
42+Tracker checked at: 2026-05-10T15:10:00Z
2043 ## Source attribution added
2144 An official source attribution was added to the tracker record.
45+Source https://www.epfl.ch/education/teaching/index-html/ai-teaching/guidelines-for-the-use-of-ai-in-teaching-at-epfl/ snapshot 2760bf9bac8ea363745ebefdd8311c0baec550872423088f7c37e5a637463a7f
46+Tracker checked at: 2026-05-10T15:10:00Z
2247 ## Source attribution added
2348 An official source attribution was added to the tracker record.
49+Source https://www.epfl.ch/education/teaching/index-html/ai-teaching/guidelines-for-using-ai-in-studying/ snapshot 87edcd847e7da9072a61800e82df79c37f0eec2770af19d6ba733ee8a99fb396
50+Tracker checked at: 2026-05-10T15:10:00Z
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