Dziennik zmian

EPFL – École polytechnique fédérale de Lausanne

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Podsumowanie zmian

Aktualna świeżość publicznych rekordów i stan weryfikacji.

EPFL – École polytechnique fédérale de Lausanne currently has 5 source-backed claim records and 6 official source attributions. Latest tracked changed date: 10 maj 2026. No tracker diff rows are recorded in the latest public release.

Ta strona łączy wszystkie publiczne diffy wydań dla EPFL – École polytechnique fédérale de Lausanne. Indywidualne migawki wersji pozostają dostępne pod adresami URL specyficznymi dla danej wersji.

Dla tej uczelni nie zarejestrowano jeszcze różnic między kolejnymi wydaniami. Strona nadal śledzi bieżące twierdzenia poparte źródłami, oficjalne przypisania źródeł, stan przeglądu, aktualność źródeł oraz publicznie dostępny JSON na potrzeby wyszukiwania i cytowania.

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.

Kategorie różnic

Klasyfikacja semantyczna dla tej różnicy wersji.

Tekst polityki0Właśnie wyodrębnione0Dowód0Migawki źródłowe0Tekst źródłowy0Dodano źródło0Usunięto źródło0

Połączone diffy wydań

Zjednoczona różnica trackerów wygenerowana ze wszystkich publicznych migawek wydań dla tej uczelni.

EPFL – École polytechnique fédérale de Lausanne combined release różnica

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+10-0
11 # EPFL – École polytechnique fédérale de Lausanne AI policy record
2+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.
3+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.
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+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.
7+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.
8+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.
9+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
10+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.
11+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.

Historia wydań

0 public release diffs

Zmiany twierdzeń

5 Twierdzenie rekordów

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.

Przegląd: Sprawdzone przez agentaPewność96%Dowód1Językien

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.

Przegląd: Sprawdzone przez agentaPewność95%Dowód1Językien

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.

Przegląd: Sprawdzone przez agentaPewność94%Dowód1Językien

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.

Przegląd: Sprawdzone przez agentaPewność93%Dowód1Językien

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.

Przegląd: Sprawdzone przez agentaPewność92%Dowód1Językien

Migawki źródłowe

6 source attributions