Lausanne, Switzerland Last checked

EPFL – École polytechnique fédérale de Lausanne

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Coursework

Conditionally Allowed

EPFL guidelines for using AI in studying advise students that they should not use AI during exams or assessments unless explicitly allowed, and tell students to check their course policy or ask their instructor. Assessment material that is not the student's personal and original contribution must be recognizable as such under LEX 1.3.3 Article 4; guidelines advise disclosing AI-tool use in a statement and checking the course policy or instructor for its formulation.

Official source ↗

Exams

Prohibited

EPFL studying guidelines advise students that they should not use AI during exams or assessments unless explicitly allowed by the course policy or instructor. Suspected unauthorized use or non-disclosure is referred as a potential integrity case; the guidance describes submitting AI-generated content as one’s own without proper attribution as AI plagiarism.

Official source ↗

Disclosure

Conditionally Allowed

EPFL's studying guide states that assessment material that is not the student’s personal and original contribution must be recognizable as such under Lex 1.3.3 Article 4, says the use of AI tools should be disclosed in a statement, and directs students to check their course's specific AI policy or ask the instructor how to formulate it. For manuscripts intended for publication, EPFL Library guidance states that the LLM used, what it was used for, and how it was used must be disclosed in the manuscript, adhering to publisher policies.

Official source ↗

Privacy & sensitive data

Prohibited

EPFL advises students not to input confidential, private, or personal information into public generative AI tools because data is shared with private companies and control is lost. In the captured EPFL teaching guide, enterprise licenses such as Microsoft 365 Copilot via an EPFL account are described as unsuitable for regulated data because the guide states that EPFL has not signed a data processing agreement guaranteeing protections aligned with institutional needs or Swiss personal-data legislation; the current central-IT contract or tenant DPA status was not independently established in this review.

Official source ↗

Institutional tools

Conditionally Allowed

EPFL lists official educational AI services including AI Tutors (CEDE) deployed within participating courses, aiaiapps for teachers, and the internal EPFL Chatbot. Microsoft 365 Copilot is listed with allowed availability, but tool directory listing does not constitute assessment permission or a verified current IT DPA.

Official source ↗

Research & publication

Conditionally Allowed

EPFL Library guidance clarifies that LLMs cannot be listed as authors or co-authors under the Swiss Copyright Act (Art. 6) because they lack accountability. Under EPFL Library's agreement with Elsevier, CC-BY open access content may be used with any AI tool, whereas for licensed closed or CC-BY-NC-ND publications, use is permitted with closed non-learning AI tools or with open learning tools operating in a secure, user-controlled environment (on-premises or solely for authorized users); commercial use is prohibited and publications must not reproduce closed or CC-BY-NC-ND content.

Official source ↗
More reviewed record topics

Academic integrity & procedures

Conditionally Allowed

Submitting AI-generated content as one's own work without proper attribution constitutes AI plagiarism under Lex 1.3.3 Article 4. AI detection tools are not admissible as stand-alone evidence due to false-positive risks; teacher referral of suspected non-disclosure to the section director and Legal Affairs is a misconduct evaluation referral, not an adjudication of cheating. Formal grade or notified failure disputes follow EPFL study regulations: internal reassessment within 10 days or external appeal to the Commission de recours interne des EPF within 30 days calculated from postal reception of the grade or notified failure; these rules govern academic grading disputes, and whether specific appeal pathways apply to AI disciplinary misconduct sanctions is an unverified evidence gap.

Official source ↗

Teaching guidance

Recommended

EPFL teaching guidance recommends that because there is no one-size-fits-all rule regarding the use of AI in assessment, teachers make explicit to students what kind of AI use is not legitimate in their course and what rules accompany the use of AI tools.

Official source ↗

Security and procurement

Unclear

Central IT procurement terms, vendor compliance standards, and institutional data processing protocols for third-party artificial intelligence tools are not established in reviewed public evidence.

Before you submit

Do

  • Check course outlines and consult instructors regarding permitted AI use before using tools for studying or coursework; ensure assessment material that is not your personal and original contribution is recognizable as such under LEX 1.3.3 Article 4, where the studying guide states AI tool use should be disclosed in a statement and directs students to check the course policy or instructor for its formulation.
    Requirement in this scope
  • For manuscripts intended for publication, disclose the LLM tool used, its purpose, and method in the manuscript adhering to publisher policies.
    Requirement in this scope
  • For disputes over an academic grade or notified failure, request internal reassessment within 10 days or appeal to the EPF internal appeals commission within 30 days, both from postal receipt at the student’s address. These deadlines have not been verified as AI disciplinary appeal deadlines.
    Source guidance

Don’t

  • Students should not use generative AI tools during exams or assessments unless explicitly allowed by the course policy or instructor.
    Source guidance
  • Do not enter confidential, personal, or regulated data into public AI tools; in the captured teaching guide, enterprise Microsoft 365 Copilot is described as unsuitable for regulated data because the guide states EPFL has not signed an aligned DPA, while current central-IT contract or tenant DPA status was not independently established.
    Source guidance
  • Do not list Large Language Models as authors or co-authors on manuscripts intended for publication.
    Requirement in this scope

AI use questioned?

EPFL – École polytechnique fédérale de Lausanne

Guidelines for AI in studying and teaching; LEX 1.3.3 directive on citing and distinguishing borrowed material (French text is binding; English is a reference translation, with an unresolved Version xx. footer placeholder); rules for continuous assessment; Library AI advice. Institution-wide audit remains PARTIAL.

Investigation & response

EPFL guidelines for using AI in studying advise students that they should not use AI during exams or assessments unless explicitly allowed, and tell students to check their course policy or ask their instructor. The guidelines state that assessment material that is not the student's personal and original contribution must be recognizable as such under LEX1.3.3 Article4; they advise disclosing AI-tool use in a statement and checking the course policy or instructor for its formulation.

Original evidence and scope

EPFL guidelines for using AI in studying advise students that they should not use AI during exams or assessments unless explicitly allowed, and tell students to check their course policy or ask their instructor. The guidelines state that assessment material that is not the student's personal and original contribution must be recognizable as such under LEX1.3.3 Article4; they advise disclosing AI-tool use in a statement and checking the course policy or instructor for its formulation.

draft-claim-epfl-assessment-prior-authorization
Always check your course’s specific AI policy. If none exists, ask your instructor. You should not use AI during exams or assessments unless explicitly allowed.

lines 73-73; How to use AI in coursework

Official university source ↗
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. Check your course’s specific AI policy or ask your instructor how to formulate this statement.

lines 89-89; Transparency

Official university source ↗

The French LEX1.3.3 directive, originally effective1 January2013 and revised1 September2026 as version2.2, requires scientific and academic work to distinguish borrowed material from the author's personal and original contribution under Article4. Article4 says that failing to identify borrowed material presents it as a personal and original contribution and constitutes plagiarism, referring to Article8. The official Polylex directory states that only the French version is legally binding and that the English version is for information and has no legal force.

Original evidence and scope

The French LEX1.3.3 directive, originally effective1 January2013 and revised1 September2026 as version2.2, requires scientific and academic work to distinguish borrowed material from the author's personal and original contribution under Article4. Article4 says that failing to identify borrowed material presents it as a personal and original contribution and constitutes plagiarism, referring to Article8. The official Polylex directory states that only the French version is legally binding and that the English version is for information and has no legal force.

draft-claim-epfl-lex-1-3-3-v2-2
Directive concernant l’utilisation, la citation et la référence des sources LEX 1.3.3 du 1er janvier 2013, état au 1er septembre 2026

physical page 1; lines 1-3; Header p. 1

Official university source ↗
Article 4 Emprunts et apport personnel 1 Tout travail scientifique et académique doit impérativement distinguer : a. les emprunts faits à d’autres travaux (art. 5), de b. l’apport personnel et nouveau de l’autrice ou de l’auteur. 2 La réutilisation de données ou de code élaborés par des tiers doit être explicitement mentionnée. 3 Tout emprunt (y compris les publications, les données de recherche et les codes) doit être reconnaissable comme tel dans le travail, par une citation directe et/ou une paraphrase appropriée, ainsi que par les références nécessaires à la source. 4 Si les emprunts ne sont pas clairement indiqués dans le travail, l’autrice ou l’auteur laisse à penser qu’il s’agit de

physical page 2; lines 60-80; Article 4; excerpt offset 0–700

Official university source ↗
son apport personnel et nouveau. Cela constitue un plagiat (art. 8).

physical page 2; lines 60-80; Article 4; excerpt offset 700–769

Official university source ↗
Article 9 Entrée en vigueur La présente directive entrée en vigueur le 1er janvier 2013 et a été révisé au 1er septembre 2026 (version 2.2). Au nom de la Direction de l'EPFL : La Présidente : Anna Fontcuberta I Morral Le Directeur des Affaires juridiques Simon Brunschwig

physical page 3; lines 174-187; Article 9

Official university source ↗
The english version is provided for information purposes only and has no legal force. Only the French version is legally binding.

lines 49-49; Polylex search preamble

Official university source ↗

Possible outcomes

The French LEX1.3.3 directive, originally effective1 January2013 and revised1 September2026 as version2.2, requires scientific and academic work to distinguish borrowed material from the author's personal and original contribution under Article4. Article4 says that failing to identify borrowed material presents it as a personal and original contribution and constitutes plagiarism, referring to Article8. The official Polylex directory states that only the French version is legally binding and that the English version is for information and has no legal force.

Original evidence and scope

The French LEX1.3.3 directive, originally effective1 January2013 and revised1 September2026 as version2.2, requires scientific and academic work to distinguish borrowed material from the author's personal and original contribution under Article4. Article4 says that failing to identify borrowed material presents it as a personal and original contribution and constitutes plagiarism, referring to Article8. The official Polylex directory states that only the French version is legally binding and that the English version is for information and has no legal force.

draft-claim-epfl-lex-1-3-3-v2-2
Directive concernant l’utilisation, la citation et la référence des sources LEX 1.3.3 du 1er janvier 2013, état au 1er septembre 2026

physical page 1; lines 1-3; Header p. 1

Official university source ↗
Article 4 Emprunts et apport personnel 1 Tout travail scientifique et académique doit impérativement distinguer : a. les emprunts faits à d’autres travaux (art. 5), de b. l’apport personnel et nouveau de l’autrice ou de l’auteur. 2 La réutilisation de données ou de code élaborés par des tiers doit être explicitement mentionnée. 3 Tout emprunt (y compris les publications, les données de recherche et les codes) doit être reconnaissable comme tel dans le travail, par une citation directe et/ou une paraphrase appropriée, ainsi que par les références nécessaires à la source. 4 Si les emprunts ne sont pas clairement indiqués dans le travail, l’autrice ou l’auteur laisse à penser qu’il s’agit de

physical page 2; lines 60-80; Article 4; excerpt offset 0–700

Official university source ↗
son apport personnel et nouveau. Cela constitue un plagiat (art. 8).

physical page 2; lines 60-80; Article 4; excerpt offset 700–769

Official university source ↗
Article 9 Entrée en vigueur La présente directive entrée en vigueur le 1er janvier 2013 et a été révisé au 1er septembre 2026 (version 2.2). Au nom de la Direction de l'EPFL : La Présidente : Anna Fontcuberta I Morral Le Directeur des Affaires juridiques Simon Brunschwig

physical page 3; lines 174-187; Article 9

Official university source ↗
The english version is provided for information purposes only and has no legal force. Only the French version is legally binding.

lines 49-49; Polylex search preamble

Official university source ↗

Review & appeal

EPFL study management regulations provide two formal procedures to oppose a grade or notified failure: an internal request for reassessment at EPFL within 10 days, or an external appeal to the Commission de recours interne des EPF within 30 days. Both deadlines are calculated from reception, at the address given by the student, of the grade or notified failure (transcripts sent by post). If a mark is contested on the grounds of an error in correction or assessment, the responsible teacher is the only person authorized to modify the mark subject to justification to the program direction; if contested for a formal defect, Legal Affairs reviews whether a significant formal defect impacted the result to warrant exam cancellation and repetition. Procedural costs are charged ahead of the procedure and refunded only if the student's claim succeeds. These rules govern academic grade disputes; whether specific appeal pathways or different deadlines apply to AI disciplinary misconduct sanctions is not established on this page and remains an evidence gap.

Original evidence and scope

EPFL study management regulations provide two formal procedures to oppose a grade or notified failure: an internal request for reassessment at EPFL within 10 days, or an external appeal to the Commission de recours interne des EPF within 30 days. Both deadlines are calculated from reception, at the address given by the student, of the grade or notified failure (transcripts sent by post). If a mark is contested on the grounds of an error in correction or assessment, the responsible teacher is the only person authorized to modify the mark subject to justification to the program direction; if contested for a formal defect, Legal Affairs reviews whether a significant formal defect impacted the result to warrant exam cancellation and repetition. Procedural costs are charged ahead of the procedure and refunded only if the student's claim succeeds. These rules govern academic grade disputes; whether specific appeal pathways or different deadlines apply to AI disciplinary misconduct sanctions is not established on this page and remains an evidence gap.

draft-claim-epfl-grade-reassessment-appeal
There are two ways of opposing a grade or notified failure: a procedure at EPFL, called request for reassessment, and a procedure outside of EPFL, through the Commission de recours interne des EPF, called appeal.

lines 58-58; Reassessment request and appeal

Official university source ↗
The deadline to start these procedures is within 10 days for the request for reassessment and within 30 days for the appeal. Both deadlines are calculated from the reception, at the address given by the student, of the grade or notified failure (transcripts sent by post).

lines 61-61; Reassessment request and appeal / Deadlines

Official university source ↗
If a mark is contested on the grounds of an error in correction or assessment, the teacher responsible will be asked to check the correction. He/she is the only person authorized to make any corrections. If he/she modifies the mark, he/she must justify the modification to the program’s direction, who will check whether the reason is justified. If the result is contested on the grounds of a formal defect, the matter is referred to Legal Affairs, who can only conclude that the examination should be cancelled if the formal defect is significant and has been shown to have had an impact on the result.

lines 59-59; Reassessment request and appeal / Grounds

Official university source ↗
The costs are charged ahead of the procedure by EPFL and the appeals authority. They are refunded only if the student’s claim succeeds.

lines 60-60; Reassessment request and appeal / Costs

Official university source ↗

AI tools & access

  • aiaiappsOfficial recommendationRecorded as allowed in the source scope

    Open the public aiaiapps service.

  • EPFL ChatbotOfficial recommendationConditions apply

    Open Graph Search; sign in to use Chat with Graph Search. Course-specific AI tutors are accessible in participating courses where the teaching team has deployed them (such as Moodle or Ed Discussion). Access to the tool does not grant permission to use it for graded assessments without instructor authorization.

  • AI Tutors (CEDE)Official recommendationConditions apply

    Available within participating courses where configured and deployed by the course teaching team on course websites or discussion forums (such as Moodle or Ed Discussion).

  • Microsoft 365 CopilotTool mentioned; institutional access not establishedRecorded as allowed in the source scope

    Use an EPFL account.

Record updatesLast 90 days · Recorded updates: 6

Updates to this site's reviewed record, not confirmation that the university changed its policy.

Some records have no verified date. See the full history.

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    Approved tools · Records involved: 1 (1 corrected / adjusted)

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Reviewed claims

14

Official sources

14 official URLs; 14 source attributions and their captured versions retained.

(Gen)AI for Teaching and Learning – Teaching ‐ EPFL

www.epfl.ch

University official source

EPFL

Hash and captured version

(Gen)AI for Teaching and Learning – Teaching ‐ EPFL · 2026-10-18T23:13:59Z

SHA-256 of the retained capture file bytes.

2c90da7e0d268a59610a49c6baa416ef8bd73030f7afa0c9509f72f83b866f29

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Guidelines for using (Gen)AI in studying – Teaching ‐ EPFL

www.epfl.ch

University official source

EPFL

Hash and captured version

Guidelines for using (Gen)AI in studying – Teaching ‐ EPFL · 2026-10-18T23:13:59Z

SHA-256 of the retained capture file bytes.

e6550341061f9244bbb733a1b4b1d09d58aa236e668771b10b8ccda567cab8aa

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

AI Tools and Student Assessment – Teaching ‐ EPFL

www.epfl.ch

University official source

EPFL

Hash and captured version

AI Tools and Student Assessment – Teaching ‐ EPFL · 2026-10-18T23:13:59Z

SHA-256 of the retained capture file bytes.

23a5f6f38ee16b9bcdd2aa876b888efe521d2f77b12be64121ce52607624a98c

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Rules for continuous assessment – Teaching ‐ EPFL

www.epfl.ch

University official source

EPFL

Hash and captured version

Rules for continuous assessment – Teaching ‐ EPFL · 2026-10-18T23:13:59Z

SHA-256 of the retained capture file bytes.

7b984cfd141b7a15211c2ca06bc74c6913bddf2d33564f699f1c26ed76fbf847

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Artificial Intelligence and Scientific Information – Library ‐ EPFL

www.epfl.ch

University official source

EPFL Library

Hash and captured version

Artificial Intelligence and Scientific Information – Library ‐ EPFL · 2026-10-18T23:13:59Z

SHA-256 of the retained capture file bytes.

fdaadef0f876d475990e0958a0cec46b38c06c3b88f8cbbcecd7396f4abfd12f

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Reassessment Request and Appeal – Education ‐ EPFL

www.epfl.ch

University official source

EPFL

Hash and captured version

Reassessment Request and Appeal – Education ‐ EPFL · 2026-10-18T23:14:00Z

SHA-256 of the retained capture file bytes.

87dc2f8c479d6e88f12ebbec919c575a779071fa0dae774d7efd25ca3fc574fc

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Guidelines for the use of AI in teaching at EPFL – Teaching ‐ EPFL

www.epfl.ch

University official source

EPFL

Hash and captured version

Guidelines for the use of AI in teaching at EPFL – Teaching ‐ EPFL · 2026-10-18T23:14:00Z

SHA-256 of the retained capture file bytes.

f6bfafe11a7f1b6fa0f300507c20b2870c3b2eb6b37b9885912de084390ce5a6

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

AI Tutors – CEDE ‐ EPFL

www.epfl.ch

University official source

EPFL CEDE

Hash and captured version

AI Tutors – CEDE ‐ EPFL · 2026-10-18T23:14:00Z

SHA-256 of the retained capture file bytes.

c6f380b4b7baf9474e7eacb9eacc6e848d99c49418aa7612f03fcccde52f3e40

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

aiaiapps — Crystalized Prompts for Education

aiaiapps.epfl.ch

University official source

EPFL CEDE

Hash and captured version

aiaiapps — Crystalized Prompts for Education · 2026-10-18T23:14:00Z

SHA-256 of the retained capture file bytes.

178a01923ba2165f04e2acfbd404af23f574fbe23c229c1f0c863990f0f67a1e

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Polylex Search – EPFL Regulations and Guidelines

www.epfl.ch

University official source

EPFL Polylex

Hash and captured version

Polylex Search – EPFL Regulations and Guidelines · 2026-10-18T23:14:00Z

SHA-256 of the retained capture file bytes.

a0c1c6d598cda744b9071355a4d65e26f79baa2a13cdc99c9af741ac42dc1790

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Directive concernant l’utilisation, la citation et la référence des sources (LEX 1.3.3, Version 2.2)

www.epfl.ch

University official source

Direction de l'EPFL

Hash and captured version

Directive concernant l’utilisation, la citation et la référence des sources (LEX 1.3.3, Version 2.2) · 2026-10-18T23:14:17Z

SHA-256 of the retained capture file bytes.

872db10daa0c42fe712407a789af604cec32b08a0bec5447d802140263d6523d

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Directive concerning the use, citation and referencing of sources (LEX 1.3.3, Version 2.2 - English Reference Translation)

www.epfl.ch

University official source

Direction de l'EPFL

Hash and captured version

Directive concerning the use, citation and referencing of sources (LEX 1.3.3, Version 2.2 - English Reference Translation) · 2026-10-18T23:14:17Z

SHA-256 of the retained capture file bytes.

a11468200193b3c95ac1ec6ae36dc81326fc18ffbb5edaae3aabe4350ded2891

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

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

www.epfl.ch

University official source

epfl.ch

Hash and captured version

Conseils pour l'utilisation de l'IA générative dans la recherche et l'éducation · 2026-05-10T15:10:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

0c8f94c33e323d9186a4728a89f8629ff00be9a07f40d632c9604b99f1b69856

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Tips for the use of generative AI in research and education

www.epfl.ch

University official source

epfl.ch

Hash and captured version

Tips for the use of generative AI in research and education · 2026-05-10T15:10:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

5eeaf435b05194c1df42edec4c82f305a9971d53eadf7ce1392453f738937014

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗
Record information, JSON & citation

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state
agent_reviewed
Analysis review state
machine_candidate
Record revision
qs20-24-v6-r7-20261020
Dataset release
public-release-20260924-002
Correction published
Student snapshot
Not published
Current reviewed JSON · Historical baseline

Published V6 presentation; JSON and MCP retain the existing public record. Supplementary quotations and scope notes remain pending review. Local candidate corrections, tools and student summaries are not approved for publication. Institution-wide audit remains PARTIAL.

          Current reviewed JSON
          Questions students ask

          Questions students ask

          Can I use AI for my coursework?

          EPFL guidelines for using AI in studying advise students that they should not use AI during exams or assessments unless explicitly allowed, and tell students to check their course policy or ask their instructor. Assessment material that is not the student's personal and original contribution must be recognizable as such under LEX 1.3.3 Article 4; guidelines advise disclosing AI-tool use in a statement and checking the course policy or instructor for its formulation.

          View evidence →
          Do I need to disclose AI use?

          EPFL's studying guide states that assessment material that is not the student’s personal and original contribution must be recognizable as such under Lex 1.3.3 Article 4, says the use of AI tools should be disclosed in a statement, and directs students to check their course's specific AI policy or ask the instructor how to formulate it. For manuscripts intended for publication, EPFL Library guidance states that the LLM used, what it was used for, and how it was used must be disclosed in the manuscript, adhering to publisher policies.

          View evidence →
          Can I upload sensitive data?

          EPFL advises students not to input confidential, private, or personal information into public generative AI tools because data is shared with private companies and control is lost. In the captured EPFL teaching guide, enterprise licenses such as Microsoft 365 Copilot via an EPFL account are described as unsuitable for regulated data because the guide states that EPFL has not signed a data processing agreement guaranteeing protections aligned with institutional needs or Swiss personal-data legislation; the current central-IT contract or tenant DPA status was not independently established in this review.

          View evidence →
          Which tools can I access?

          EPFL lists official educational AI services including AI Tutors (CEDE) deployed within participating courses, aiaiapps for teachers, and the internal EPFL Chatbot. Microsoft 365 Copilot is listed with allowed availability, but tool directory listing does not constitute assessment permission or a verified current IT DPA.

          View evidence →
          What are the examination rules?

          EPFL studying guidelines advise students that they should not use AI during exams or assessments unless explicitly allowed by the course policy or instructor. Suspected unauthorized use or non-disclosure is referred as a potential integrity case; the guidance describes submitting AI-generated content as one’s own without proper attribution as AI plagiarism.

          View evidence →
          What rules apply to research and publication?

          EPFL Library guidance clarifies that LLMs cannot be listed as authors or co-authors under the Swiss Copyright Act (Art. 6) because they lack accountability. Under EPFL Library's agreement with Elsevier, CC-BY open access content may be used with any AI tool, whereas for licensed closed or CC-BY-NC-ND publications, use is permitted with closed non-learning AI tools or with open learning tools operating in a secure, user-controlled environment (on-premises or solely for authorized users); commercial use is prohibited and publications must not reproduce closed or CC-BY-NC-ND content.

          View evidence →
          What counts as academic misconduct?

          Submitting AI-generated content as one's own work without proper attribution constitutes AI plagiarism under Lex 1.3.3 Article 4. AI detection tools are not admissible as stand-alone evidence due to false-positive risks; teacher referral of suspected non-disclosure to the section director and Legal Affairs is a misconduct evaluation referral, not an adjudication of cheating. Formal grade or notified failure disputes follow EPFL study regulations: internal reassessment within 10 days or external appeal to the Commission de recours interne des EPF within 30 days calculated from postal reception of the grade or notified failure; these rules govern academic grading disputes, and whether specific appeal pathways apply to AI disciplinary misconduct sanctions is an unverified evidence gap.

          View evidence →
          What guidance applies to teaching?

          EPFL teaching guidance recommends that because there is no one-size-fits-all rule regarding the use of AI in assessment, teachers make explicit to students what kind of AI use is not legitimate in their course and what rules accompany the use of AI tools.

          View evidence →
          What security and procurement requirements apply?

          Central IT procurement terms, vendor compliance standards, and institutional data processing protocols for third-party artificial intelligence tools are not established in reviewed public evidence.

          View evidence →
          When was this record checked?

          Record checked:

          Record version →
          Which official sources support these rules?Official source →
          Where can I read the full evidence?

          14 · Full policy evidence

          Full policy evidence →
          EPFL – École polytechnique fédérale de Lausanne AI Policy