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.
Open, evidence-backed AI policy records for public reuse.
Change log
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EPFL – École polytechnique fédérale de Lausanne currently has 5 source-backed claim records and 6 official source attributions. Latest tracked changed date: May 10, 2026.
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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5 claim records
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.
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.
EPFL recommends that teachers make explicit to students what AI use is not legitimate in a course and what rules accompany AI tool use.
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.
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.
6 source attributions
official_guidance checked May 10, 2026
official_guidance checked May 10, 2026
official_guidance checked May 10, 2026
official_guidance checked May 10, 2026
official_guidance checked May 10, 2026
official_guidance checked May 10, 2026