Policy presence
Erasmus University Rotterdam has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Rotterdam, Netherlands
Erasmus University Rotterdam
Erasmus University Rotterdam is listed as QS 2026 rank =140. Erasmus University Rotterdam has 6 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Erasmus University Rotterdam is listed as QS 2026 rank =140. Erasmus University Rotterdam has 6 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Erasmus University Rotterdam as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/erasmus-university-rotterdam.json. The entity-level confidence is 95%. 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 AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- Evidence includes Source status claims.
- No specific AI service name is highlighted by the current public claim text.
- Teaching, assessment, coursework, or syllabus-related 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
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Erasmus University Rotterdam has 2 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Erasmus University Rotterdam has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Erasmus University Rotterdam has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Erasmus University Rotterdam has 1 source-backed public claim for academic integrity; deterministic analysis status: blocked.
Approved tools
Erasmus University Rotterdam has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
Named AI services
Erasmus University Rotterdam has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Erasmus University Rotterdam has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Erasmus University Rotterdam has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
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
6 reviewed evidence-backed public claim
Privacy
EUR's central GenAI guidelines say users should not share personal or confidential information with GenAI tools and may use publicly available or published university information if use also follows the Acceptable Use Policy.
Review: Agent reviewed
Normalized value: no_personal_or_confidential_information_in_genai_tools
Original evidence
Evidence 1Do not mention personal information about yourself, others or the EUR in a question to GenAI. You should not share personal or confidential information with GenAI tools. Data that is publicly available or defined as published university information can be freely used in GenAI tools.
Academic Integrity
EUR's central GenAI guidelines state that students must create and submit their own work, that GenAI-generated work submitted as one's own is fraud, and that GenAI use in exams or evaluations where it is not permitted is fraud.
Review: Agent reviewed
Normalized value: own_work_required_and_unpermitted_exam_use_is_fraud
Original evidence
Evidence 1The basic principle is that you always create and submit your own work. You bear full responsibility for your work. If it is not your own work, or generated by a GenAI tool, then that is fraud. Any use of GenAI during exams on-campus or other evaluations where it is indicated that the use of Generative AI is not permitted is fraud and is not permitted.
Ai Tool Treatment
EUR's central GenAI guidelines tell staff, faculty, and students to use GenAI as a supplementary tool, remain responsible for delivered work, and be transparent when GenAI has been used.
Review: Agent reviewed
Normalized value: genai_as_supplement_with_user_responsibility_and_transparency
Original evidence
Evidence 1Use GenAI as a supplement and not as a replacement. Stay critical. Always check and edit the text before sharing it with others. Ultimately, you remain responsible for the work you deliver and share. If you have used GenAI somewhere, be transparent about it.
Teaching
EUR's teacher-facing GenAI guidance says instructors need to communicate whether and how GenAI is allowed for a course or assignment, and it frames unpermitted student GenAI use as comparable to ghostwriting.
Review: Agent reviewed
Normalized value: course_assignment_genai_policy_should_be_communicated
Original evidence
Evidence 1Generative AI is not allowed, but the student still makes use of these tools. You can compare this to ghostwriting. You will need to communicate to students if and what use of generative AI is allowed for your course/assignment.
Research
EUR's PhD trajectory GenAI policy allows PhD research use of GenAI systems when its principles are followed, prefers licensed or EUR language-model systems, and advises consulting a privacy officer before using another program.
Review: Agent reviewed
Normalized value: phd_genai_research_allowed_under_principles_with_preferred_systems
Original evidence
Evidence 1If the other principles are adhered to it is allowed to use (Gen)AI systems in the PhD-trajectory for research purposes or as a support tool. It is highly recommended that either the licensed GenAI system or the own EUR language model is used. If another program is used it is advised to consult with the privacy officer.
Source Status
EUR's AI@EUR page states that the university engages with AI responsibly through Responsible AI by Design, complies with EU AI Act rules, and routes staff and students to MyEUR pages for AI Act and AI-system action guidance.
Review: Agent reviewed
Normalized value: responsible_ai_by_design_and_ai_act_guidance_routing
Original evidence
Evidence 1At EUR, we are committed to engaging with AI responsibly. We follow the principles of Responsible AI by Design. Erasmus University Rotterdam complies with these regulations and applies additional guidelines grounded in Erasmus values. A key requirement of the AI Act is that everyone in the organisation has sufficient knowledge of AI.
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
4 source attribution
Generative AI in education
eur.nl
Generative AI Usage Guidelines
eur.nl
Policy on the use of GenAI and the PhD-trajectory
eur.nl
What's Allowed
eur.nl
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.