Lausanne, Switzerland

EPFL – École polytechnique fédérale de Lausanne

Last checkedMay 10, 2026Last changedMay 10, 2026Review: Agent reviewedConfidence96%

Public JSON Change log Monthly report Citation rules Dataset access Analysis JSON Submit correction

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources6Source languageenPublic JSON/api/public/v1/universities/epfl.json

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence79%

Policy presence

EPFL – École polytechnique fédérale de Lausanne has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence78%Evidence1Sources1

Claim CL-005

AI disclosure

EPFL – École polytechnique fédérale de Lausanne has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence2Sources2

Claim CL-001 Claim CL-004

Coursework

EPFL – École polytechnique fédérale de Lausanne has 3 source-backed public claims for coursework; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence3Sources3

Claim CL-001 Claim CL-003 Claim CL-004

Exams

EPFL – École polytechnique fédérale de Lausanne has 3 source-backed public claims for exams; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence3Sources3

Claim CL-001 Claim CL-003 Claim CL-004

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.

RestrictedMachine candidateConfidence80%Evidence2Sources2

Claim CL-002 Claim CL-005

Academic integrity

EPFL – École polytechnique fédérale de Lausanne has 2 source-backed public claims for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence2Sources2

Claim CL-001 Claim CL-004

Approved tools

EPFL – École polytechnique fédérale de Lausanne has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence78%Evidence1Sources1

Claim CL-005

Named AI services

EPFL – École polytechnique fédérale de Lausanne has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence2Sources2

Claim CL-002 Claim CL-005

Teaching guidance

EPFL – École polytechnique fédérale de Lausanne has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Claim CL-003

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Security and procurement

EPFL – École polytechnique fédérale de Lausanne has 1 source-backed public claim for security and procurement; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence78%Evidence1Sources1

Claim CL-005

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

5 reviewed evidence-backed public claim

Last checked: May 10, 2026
Last changed: May 10, 2026

Original evidence

Evidence 1

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.
Source: Tips for the use of generative AI in research and education

Source language: English (en)
Snapshot hash: 5eeaf435b05194c1df42edec4c82f305a9971d53eadf7ce1392453f738937014
Retrieved: May 10, 2026

Last checked: May 10, 2026
Last changed: May 10, 2026

Original evidence

Evidence 1

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.
Source: Guidelines for using (Gen)AI in studying

Source language: English (en)
Snapshot hash: 87edcd847e7da9072a61800e82df79c37f0eec2770af19d6ba733ee8a99fb396
Retrieved: May 10, 2026

Last checked: May 10, 2026
Last changed: May 10, 2026

Original evidence

Evidence 1

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.
Source: AI tools and Student Assessment

Source language: English (en)
Snapshot hash: fba7ab5ff6baa8b705ec86e53353af3c699c78ed3d7b123580158d2b708ca8b8
Retrieved: May 10, 2026

Last checked: May 10, 2026
Last changed: May 10, 2026

Original evidence

Evidence 1

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
Source: Guidelines for the use of AI in teaching at EPFL

Source language: English (en)
Snapshot hash: 2760bf9bac8ea363745ebefdd8311c0baec550872423088f7c37e5a637463a7f
Retrieved: May 10, 2026

Last checked: May 10, 2026
Last changed: May 10, 2026

Original evidence

Evidence 1

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.
Source: Guidelines for the use of AI in teaching at EPFL

Source language: English (en)
Snapshot hash: 2760bf9bac8ea363745ebefdd8311c0baec550872423088f7c37e5a637463a7f
Retrieved: May 10, 2026

Candidate claims

0 machine or needs-review claim

Official sources

6 source attribution

AI tools and Student Assessment

epfl.ch

Source URL: https://www.epfl.ch/education/teaching/ai-tools-and-student-assessment/
Snapshot hash: fba7ab5ff6baa8b705ec86e53353af3c699c78ed3d7b123580158d2b708ca8b8

Artificial intelligence and scientific information

epfl.ch

Source URL: https://www.epfl.ch/campus/library/artificial-intelligence-and-scientific-information/
Snapshot hash: 2e05d621613cfe4dca9f7251ec1bdd2265f80f84f5b2a14824ae580fd0072688

Conseils pour l'utilisation de l'IA générative dans la recherche et l'éducation

epfl.ch

Source URL: https://www.epfl.ch/about/vice-presidencies/fr/vice-presidence-academique-vpa/conseils-pour-lutilisation-de-lia-generative-dans-la-recherche-et-leducation/
Snapshot hash: 0c8f94c33e323d9186a4728a89f8629ff00be9a07f40d632c9604b99f1b69856

Guidelines for the use of AI in teaching at EPFL

epfl.ch

Source URL: https://www.epfl.ch/education/teaching/index-html/ai-teaching/guidelines-for-the-use-of-ai-in-teaching-at-epfl/
Snapshot hash: 2760bf9bac8ea363745ebefdd8311c0baec550872423088f7c37e5a637463a7f

Guidelines for using (Gen)AI in studying

epfl.ch

Source URL: https://www.epfl.ch/education/teaching/index-html/ai-teaching/guidelines-for-using-ai-in-studying/
Snapshot hash: 87edcd847e7da9072a61800e82df79c37f0eec2770af19d6ba733ee8a99fb396

Tips for the use of generative AI in research and education

epfl.ch

Source URL: 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 hash: 5eeaf435b05194c1df42edec4c82f305a9971d53eadf7ce1392453f738937014

Last checkedMay 10, 2026Last changedMay 10, 2026Open change log

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Back to universities

EPFL – École polytechnique fédérale de Lausanne

Record status

Policy profile

Policy presence

AI disclosure

Coursework

Exams

Privacy and data entry

Academic integrity

Approved tools

Named AI services

Teaching guidance

Research guidance

Security and procurement

AI tools

Evidence-backed claims

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.

Candidate claims

Official sources

AI tools and Student Assessment

Artificial intelligence and scientific information

Conseils pour l'utilisation de l'IA générative dans la recherche et l'éducation

Guidelines for the use of AI in teaching at EPFL

Guidelines for using (Gen)AI in studying

Tips for the use of generative AI in research and education

Change log

Corrections