Eindhoven, Netherlands Last checked

Eindhoven University of Technology

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Coursework

Allowed in this scope

Eindhoven University of Technology has 5 source-backed public claims for coursework; deterministic analysis status: allowed.

Official source ↗

Exams

Restricted

Eindhoven University of Technology has 5 source-backed public claims for exams; deterministic analysis status: restricted.

Official source ↗

Disclosure

Not mentioned in reviewed sources

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

Privacy & sensitive data

Restricted

Eindhoven University of Technology has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.

Official source ↗

Approved tools

Restricted

Eindhoven University of Technology has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.

Official source ↗

Research & publication

Restricted

Eindhoven University of Technology has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.

Official source ↗
More reviewed record topics

Academic integrity

Conditional

Eindhoven University of Technology has 4 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.

Official source ↗

Teaching guidance

Recommended

Eindhoven University of Technology has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

Official source ↗

Security and procurement

Blocked

Eindhoven University of Technology has 2 source-backed public claims for security and procurement; deterministic analysis status: blocked.

Official source ↗

More policy information

Published source-based additions (9)

These tracker summaries are based on retained official-source material. Present applicability has not been independently confirmed. English summaries and original-language quotations are retained unless a checked Chinese summary is available.

Assessment permission

AI-specific provision

Site summary · original evidence below

General AI assistance such as brainstorming, language refinement, translation and self-study is allowed unless expressly forbidden by the examiner. Students remain responsible and critically evaluate outputs. Generating research data is fundamentally prohibited unless the examiner explicitly consents; course supplementary conditions are communicated before the course.

Scope
Students · university · Default working agreement; examiners/course programmes may specify supplementary conditions · Native PDF text font map corrupt; separate Firecrawl Markdown used, rawPDF retained
Recorded topic
Assessment permission
Recorded wording strength
permitted
Original source and archived quotation
Original source and archived quotation ↗
1. The use of AI tools is allowed as an aid for general functionalities (teaching and study tool/assistant/input for own work) unless explicitly forbidden by the examiner (see point 3). General functionalities include brainstorming, gaining inspiration, summarizing general information, refining one's own work (e.g., language correction, language assistant), translation, and self-study/sparring partner (e.g., generating practice exam questions and answers). AI tools are not reliable scientific sources and the output must always be evaluated critically according to academic practices (e.g., as stated in the TU/e Code of Scientific Conduct; TU/e, 2019). Staff is always responsible for the educational activities they design and/or perform. Students are always responsible for the work they submit.

Collected: · Lines: 11–11

Archive hash: 7c42eea90ece80b872e543e6a356792f71ea1228509d7eab48f1497b434e73be

Disclosure

AI-specific provision

Site summary · original evidence below

When GenAI creates content or replaces/out-sources the students own work rather than general assistance, a complete declaration is required. Standard scientific referencing methods are applied; otherwise the statement includes tool name/version and purpose/method. Programmes/courses may additionally require prompts, reliability/bias reflection and verification.

Scope
Students · university · Default working agreement; examiners/course programmes may specify supplementary conditions · Native PDF text font map corrupt; separate Firecrawl Markdown used, rawPDF retained
Recorded topic
Disclosure
Recorded wording strength
mandatory
Original source and archived quotation
Original source and archived quotation ↗
2. When using GenAI functionalities (creation of new content, replacement of own work), complete statements about the use are required. The important distinction with the functionalities as mentioned under rule 1 is when GenAI partially replaces or outsources the student's own work and learning process. If a student uses GenAI in a manner other than meant under rule 1, it must be explicitly stated. This way, the teacher can provide more targeted feedback on the acquisition of academic practices and responsible use of tools. Standard scientific referencing methods (e.g., IEEE, APA, ACM) are taught and applied. Otherwise, a complete statement must at least include: 2.1. The name and version of the tool ## 2.2. Purpose and method of use The generation of quantitative and qualitative research data with GenAI is fundamentally prohibited, unless explicit consent is given by the examiner (see point 3). Note: People responsible for educational programs and courses may impose, additional requirements on the form and content of the statement, such as a more detailed statement of use, examples of entered prompts, reflection on reliability and bias, and verification of information.

Collected: · Lines: 13–21

Archive hash: 7c42eea90ece80b872e543e6a356792f71ea1228509d7eab48f1497b434e73be

Privacy and student work

AI-specific provision

Site summary · original evidence below

The rules say sensitive information must not be entered into AI tools and require GDPR compliance.

Scope
Students · university · Default working agreement; examiners/course programmes may specify supplementary conditions · Native PDF text font map corrupt; separate Firecrawl Markdown used, rawPDF retained
Recorded topic
Privacy and student work
Recorded wording strength
Prohibited
Original source and archived quotation
Original source and archived quotation ↗
5. Take advantage of the positive functionalities of AI tools, but remain aware of risks and be a critical user. It is your own responsibility to use AI tools consciously, critically, and responsibly. AI tools offer many wonderful opportunities. However, the use of tools also comes with risks regarding the reliability of output (e.g., factual inaccuracies, biases, non-existent references), environment (e.g., energy consumption and cooling water usage), and data processing (e.g., violation of copyrights, NDA, intellectual property, and privacy, security, and storage of personal, corporate, and research data). Therefore, do not enter sensitive information or data. Follow the GDPR.

Collected: · Lines: 37–37

Archive hash: 7c42eea90ece80b872e543e6a356792f71ea1228509d7eab48f1497b434e73be

AI grading and human oversight

AI-specific provision

Site summary · original evidence below

The rules prohibit automated GenAI grading without human oversight. This is an oversight requirement for GenAI grading, not a blanket ban on every automated marking system.

Scope
examiners · university · Default working agreement; examiners/course programmes may specify supplementary conditions · Native PDF text font map corrupt; separate Firecrawl Markdown used, rawPDF retained
Recorded topic
AI grading and human oversight
Recorded wording strength
Prohibited
Original source and archived quotation
Original source and archived quotation ↗
7. Teachers remain responsible for the assessment of students and the content of the education. Teachers are encouraged to use tools in teaching and assessment, such as automated grading of multiple-choice exams based on pre-determined answers. However, automated decision-making/grading based on a GenAI model without human oversight over the assessment process is not permitted. The Examiner is legally responsible for conducting exams and determining the results.

Collected: · Lines: 43–43

Archive hash: 7c42eea90ece80b872e543e6a356792f71ea1228509d7eab48f1497b434e73be

Access and adjustments

AI-specific provision

Site summary · original evidence below

Where a course mandates an AI tool, data/storage protection must be adequate or an alternative must be supplied. Students cannot be compelled to purchase an AI tool with their own means.

Scope
Students · university · Default working agreement; examiners/course programmes may specify supplementary conditions · Native PDF text font map corrupt; separate Firecrawl Markdown used, rawPDF retained
Recorded topic
Access and adjustments
Recorded wording strength
mandatory
Original source and archived quotation
Original source and archived quotation ↗
6. When the use of tools is mandatory in education, the processing and storage of personal data and information must be well regulated. When the TU/e tools do not suffice, a suitable alternative must be provided to students. For example, an open-source LLM that is hosted on a local server. Or a department may obtain a tool, and TU/e central negotiates a processing agreement with the supplier. Students may never be required to purchase a tool (or version with more functionalities) by their own means.

Collected: · Lines: 39–39

Archive hash: 7c42eea90ece80b872e543e6a356792f71ea1228509d7eab48f1497b434e73be

Boundaries and concerns

AI-specific provision

Site summary · original evidence below

Fraud can involve work that is insufficiently the students own, an incorrect AI-use declaration or AI use forbidden or outside communicated partial permission for the assessment. Declaring AI does not cure prohibited use. The Examination Board decides case by case; no automatic sanction is supplied.

Scope
Students · university · Default working agreement; examiners/course programmes may specify supplementary conditions · Native PDF text font map corrupt; separate Firecrawl Markdown used, rawPDF retained
Recorded topic
Boundaries and concerns
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
## 4. Using AI tools counts as fraud if any of the following conditions are satisfied: 4.1. The submitted work is no longer sufficiently the student's own, in the sense that knowledge, insight, and skills as described in the learning outcomes cannot be assessed and tested. Delegating work to tools (or to someone else) to this degree is not allowed because it affects the core of academic practices (TU/e Regulations Examination Committee, 2024). The student must always take responsibility for verifying and analyzing information and for their own scientific substantiation. Teachers guide students in the education to understand this connection. 4.2. The student has not included a correct statement about the AI use. 4.3. The student used AI tools when the teacher had communicated that it was not allowed or only partially allowed. A correct statement of tool use does not change this. The definitions of fraud/plagiarism as described in the Regulations Examination Committee of the program apply here. In case of suspected fraud, the Examination Committee must always determine on a case-by-case basis whether fraud has actually occurred. Scores from AI detection tools do not count as sufficient evidence of fraud. In case of suspected fraud, an additional investigation may be conducted through an oral check. This is not an additional assessment moment. However, students must be informed of this possibility in advance. Check – if applicable - the department’s policy on AI and AI detection tool use.

Collected: · Lines: 27–35

Archive hash: 7c42eea90ece80b872e543e6a356792f71ea1228509d7eab48f1497b434e73be

AI-specific provision

Site summary · original evidence below

In the Industrial Design guide, faulty references associated with AI use are classified as Category Two and repeated cases as Category Three. This does not establish the numerical penalty or a universal university-wide AI category.

Scope
Students · department · Industrial Design · Department-specific guide; current semester Canvas AI conditions control
Recorded topic
Boundaries and concerns
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
Faulty references can display the typical patterns of generative AI (e.g., missing or wrong publication data). It is considered the responsibility of the student (or group) to have checked their reference lists for accuracy, especially when the work has involved some form of generative AI. The presence of a reference list with the typical patterns of generative AI will be considered a Category 2 infringement. A repeat offence will be considered a Category 3 infringement. We consider this form of fraud as more than a Category 1 infringement (sloppiness) as there is a conscious decision made to use an unsuitable tool.

Collected: · Lines: 93–93

Archive hash: 75c607b3802c04bab5612d32aaffc43158e08902174695bdc91be063894e862f

Investigation and response

General misconduct framework; not automatic consequences of AI use

Site summary · original evidence below

The departmental guide requires suspected fraud to be reported in writing to the Examination Committee; the student can supply written comments. The Committee considers appropriate actions. This is limited to the Industrial Design guide, not a captured university-wide disciplinary/appeal procedure.

Scope
Students · department · Industrial Design · Department-specific guide; current semester Canvas AI conditions control
Recorded topic
Investigation and response
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
Fraud comprises in any case any intentional action by a student, or failure to act by a student, which makes it partially or completely impossible for the assessor to determine the individual student’s development of the overall competence of designing and vision on design. Fraud with respect to a curricular learning activity or assessment includes: Submitting work under one’s own name that has been done by others or copied from others wholly or partially: this includes copying word-for-word or paraphrasing the work of others without indicating that the words or underlying ideas belong to someone else (plagiarism); actively (assisting in) offering or assisting in offering one’s own work to others, who might then submit it as their own work; improper cooperation, that is two or more students jointly doing (part of) a curricular learning activity of which it is known in advance that individual work is required. If an assessor, lecturer or coach suspects fraud in relation to an assessment or a curricular learning activity, he or she will record this in writing as soon as possible and submit this to the Examination Committee. The student in question will be given the opportunity to add written comments to the report written by the assessor, lecturer or coach, respectively. It is then up to the Examination Committee to take any measures it considers appropriate in the case in question, which in the most extreme case could lead to a proposal by the Executive Board to terminate the student’s enrolment in the program indefinitely. See the Examination Regulations for more information about the Fraud and Plagiarism regulations and the sanction ladder including the different categories.

Collected: · Lines: 86–88

Archive hash: 75c607b3802c04bab5612d32aaffc43158e08902174695bdc91be063894e862f

Detection evidence

AI-specific provision

Site summary · original evidence below

AI-detector scores are not sufficient evidence of fraud. An additional oral investigation may help clarify suspected fraud, but is not an extra assessment; students must be informed in advance and applicable department policies on AI/detection should be consulted.

Scope
Students · university · Default working agreement; examiners/course programmes may specify supplementary conditions · Native PDF text font map corrupt; separate Firecrawl Markdown used, rawPDF retained
Recorded topic
Detection evidence
Recorded wording strength
Descriptive statement
Original source and archived quotation
Original source and archived quotation ↗
## 4. Using AI tools counts as fraud if any of the following conditions are satisfied: 4.1. The submitted work is no longer sufficiently the student's own, in the sense that knowledge, insight, and skills as described in the learning outcomes cannot be assessed and tested. Delegating work to tools (or to someone else) to this degree is not allowed because it affects the core of academic practices (TU/e Regulations Examination Committee, 2024). The student must always take responsibility for verifying and analyzing information and for their own scientific substantiation. Teachers guide students in the education to understand this connection. 4.2. The student has not included a correct statement about the AI use. 4.3. The student used AI tools when the teacher had communicated that it was not allowed or only partially allowed. A correct statement of tool use does not change this. The definitions of fraud/plagiarism as described in the Regulations Examination Committee of the program apply here. In case of suspected fraud, the Examination Committee must always determine on a case-by-case basis whether fraud has actually occurred. Scores from AI detection tools do not count as sufficient evidence of fraud. In case of suspected fraud, an additional investigation may be conducted through an oral check. This is not an additional assessment moment. However, students must be informed of this possibility in advance. Check – if applicable - the department’s policy on AI and AI detection tool use.

Collected: · Lines: 27–35

Archive hash: 7c42eea90ece80b872e543e6a356792f71ea1228509d7eab48f1497b434e73be

Browse additional reviewed claims

Research

Security and procurement

Record updatesLast 90 days

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

Update records are not available for this page yet.

Reviewed record

Reviewed claims

11 reviewed claims

Source record

Official sources

5 sources

5 official URLs; 5 source attributions and their captured versions retained.

Academic Fraud

studiegids.tue.nl

University official source

studiegids.tue.nl

Hash and captured version

Academic Fraud · 2026-05-14T14:14:00.000Z

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

5dca90f28d07a4b845d52982679d37d8ff70abe80bb95399b35a5e53e7f5f155

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

Official source ↗

Artificial intelligence in Education: Online Learning & Education

canvas.tue.nl

University official source

canvas.tue.nl

Hash and captured version

Artificial intelligence in Education: Online Learning & Education · 2026-05-14T14:22:00.000Z

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

50c3cee9ba708aa4731522e3052682c6680030449fe5d6ee956a1e3e5c7cfa29

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

Official source ↗

Discover Microsoft Copilot | TU/e Education Guide

educationguide.tue.nl

University official source

educationguide.tue.nl

Hash and captured version

Discover Microsoft Copilot | TU/e Education Guide · 2026-07-16T01:28:43.896Z

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

5557b6bda5f562f731f105aea15c5d169dd7fd721ad7bb566168fd362fb7c8f4

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

Official source ↗

Testing and assessment

educationguide.tue.nl

University official source

educationguide.tue.nl

Hash and captured version

Testing and assessment · 2026-05-14T14:18:00.000Z

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

d72d428796a954b5a9ba7d426f067a4fdc3c4d9d1e279f94fc5a6eee05a36752

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

Official source ↗

TU/e Basic Rules for AI Use in Education

assets.w3.tue.nl

University official source

assets.w3.tue.nl

Hash and captured version

TU/e Basic Rules for AI Use in Education · 2026-05-14T14:19:00.000Z

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

6e8c594a7d29104bc2dea8183dd211d0e8f701217666fdfe3a15570fa8ae05ba

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

Official source ↗
Record information, JSON & citation
ReviewAI-assisted reviewConfidence97%Snapshot statusNot publishedJSONPublic JSON

Outdated or incorrect policy? Report an issue ↗

Citation: University AI Policy Tracker. "Eindhoven University of Technology AI Policy Tracker record." Last checked July 19, 2026. https://eduaipolicy.org/universities/eindhoven-university-of-technology

Original university source language remains canonical. This tracker is not an official university statement.

Open change log

Saved from University AI Policy Tracker. This record summarizes the cited sources; it is not an official university statement or assessment permission. Source and review dates are listed above. Hashes identify retained content, not authorization.

Questions students ask

Questions students ask

Can I use AI for my coursework?

Eindhoven University of Technology has 5 source-backed public claims for coursework; deterministic analysis status: allowed.

View evidence →
Do I need to disclose AI use?

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

View evidence →
Can I upload sensitive data?

Eindhoven University of Technology has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.

View evidence →
Which tools can I access?

Eindhoven University of Technology has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.

View evidence →
What are the examination rules?

Eindhoven University of Technology has 5 source-backed public claims for exams; deterministic analysis status: restricted.

View evidence →
What rules apply to research and publication?

Eindhoven University of Technology has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.

View evidence →
What counts as academic misconduct?

Eindhoven University of Technology has 4 source-backed public claims for academic integrity; deterministic analysis status: conditionally_allowed.

View evidence →
What guidance applies to teaching?

Eindhoven University of Technology has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.

View evidence →
What security and procurement requirements apply?

Eindhoven University of Technology has 2 source-backed public claims for security and procurement; deterministic analysis status: blocked.

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?

11 · Full policy evidence

Full policy evidence →