Policy presence
EPFL – École polytechnique fédérale de Lausanne has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Lausanne, Switzerland
EPFL – École polytechnique fédérale de Lausanne
EPFL – École polytechnique fédérale de Lausanne has 5 source-backed AI policy claims from 6 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 10, 2026.
EPFL – École polytechnique fédérale de Lausanne AI policy short answer
v1 public contract
EPFL – École polytechnique fédérale de Lausanne has 5 source-backed AI policy claims from 6 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 10, 2026. Discovery context: EPFL – École polytechnique fédérale de Lausanne is listed as QS 2026 rank =22.
Citation-ready summary
As of this public record, University AI Policy Tracker lists EPFL – École polytechnique fédérale de Lausanne as an agent-reviewed AI policy record last checked on May 10, 2026 and last changed on May 10, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/epfl.json. The entity-level confidence is 96%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Named AI services detected in public claims: Microsoft Copilot.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security language appears in the public claim text.
Review: Agent reviewed
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
AI disclosure
EPFL – École polytechnique fédérale de Lausanne has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
EPFL – École polytechnique fédérale de Lausanne has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
EPFL – École polytechnique fédérale de Lausanne has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
EPFL – École polytechnique fédérale de Lausanne has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
EPFL – École polytechnique fédérale de Lausanne has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
EPFL – École polytechnique fédérale de Lausanne has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
EPFL – École polytechnique fédérale de Lausanne has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
EPFL – École polytechnique fédérale de Lausanne has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
EPFL – École polytechnique fédérale de Lausanne has 1 source-backed public claim for security and procurement; deterministic analysis status: recommended.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
Evidence-backed claims
5 reviewed evidence-backed public claim
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.
Review: Agent reviewed
原始证据
Evidence 1Never 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.
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.
Review: Agent reviewed
原始证据
Evidence 1EPFL 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.
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.
Review: Agent reviewed
原始证据
Evidence 1Since 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.
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.
Review: Agent reviewed
原始证据
Evidence 1The 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
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.
Review: Agent reviewed
原始证据
Evidence 1However, 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.
Candidate claims
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
Official sources
6 source attribution
AI tools and Student Assessment
epfl.ch
Artificial intelligence and scientific information
epfl.ch
Conseils pour l'utilisation de l'IA générative dans la recherche et l'éducation
epfl.ch
Guidelines for the use of AI in teaching at EPFL
epfl.ch
Guidelines for using (Gen)AI in studying
epfl.ch
Tips for the use of generative AI in research and education
epfl.ch
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.