Policy presence
University of Twente has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Enschede, Netherlands
University of Twente
University of Twente is listed as QS 2026 rank =203. University of Twente has 8 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Twente is listed as QS 2026 rank =203. University of Twente has 8 source-backed AI policy claim records from 5 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 University of Twente as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-twente.json. The entity-level confidence is 97%. 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 Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- Evidence includes Source status claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Security review claims.
- Evidence includes Procurement claims.
- No specific AI service name is highlighted by the current 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
University of Twente has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Twente has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Twente has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Twente has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Twente has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
University of Twente has 3 source-backed public claims for approved tools; deterministic analysis status: recommended.
Named AI services
University of Twente has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Twente has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Twente has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
Security and procurement
University of Twente has 2 source-backed public claims 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
8 reviewed evidence-backed public claim
Academic Integrity
UT's education PDF requires students to disclose AI use in an appendix when AI is used for an assignment, and states that unconsented and unacknowledged AI use should be considered academic misconduct.
Review: Agent reviewed
Normalized value: student_ai_use_disclosure_and_unconsented_unacknowledged_use_academic_misconduct
Original evidence
Evidence 1It is required that students mention the use of AI. Therefore, when any form of AI is used, the use of these tools should be included in the appendix... Students using AI, without the explicit consent of the instructor and acknowledgement of the tool in an appendix, should therefore be considered to have committed academic misconduct.
Localized display only
UT requires AI use disclosure in an appendix and treats unconsented, unacknowledged AI use as academic misconduct.
Privacy
UT's AI dossier tells users not to include personal, student, research, confidential, or sensitive data in public AI tools.
Review: Agent reviewed
Normalized value: no_personal_confidential_sensitive_data_in_public_ai_tools
Original evidence
Evidence 1How should I handle data when using AI tools? Always assume your input may be stored externally. Never include personal data, student details, research data or confidential material in public AI tools.
Localized display only
UT warns users not to put personal, student, research, or confidential data into public AI tools.
Teaching
UT's education PDF tells teachers that each assignment or group of assignments should make clear whether students may use AI and whether restrictions apply.
Review: Agent reviewed
Normalized value: teachers_should_state_assignment_ai_permissions_and_restrictions
Original evidence
Evidence 1With every assignment or group of assignments it should be clear if students are allowed to use AI and whether this is with restrictions. See below for options.
Localized display only
UT tells teachers to make assignment-level AI permissions and restrictions clear.
Source Status
The University of Twente Executive Board has adopted an AI statement that frames AI use as a shared, responsible practice across education, research, and operations.
Review: Agent reviewed
Normalized value: executive_board_statement_adopted
Original evidence
Evidence 1The Executive Board of the University of Twente has adopted a statement on artificial intelligence (AI). In this statement, the university highlights the importance of a shared and responsible use of AI within education, research, and operations.
Localized display only
UT says its Executive Board adopted an AI statement emphasizing shared and responsible AI use in education, research, and operations.
Ai Tool Treatment
For student assignments and theses, UT's AI dossier says AI tool use depends on the course and on policies set by the programme or lecturer.
Review: Agent reviewed
Normalized value: course_or_lecturer_policy_controls_student_ai_use
Original evidence
Evidence 1Can students use AI tools for assignments or theses? That depends on the course. Each programme or lecturer may have their own policy. When in doubt, ask your lecturer. Always use AI transparently and responsibly.
Localized display only
Student AI use for assignments or theses depends on the course, programme, or lecturer policy.
Security Review
UT's AI dossier says the university is developing an AI Compliance Framework and instructs staff and researchers to report AI applications via the AI Office for appropriate measures under the AI Act.
Review: Agent reviewed
Normalized value: ai_compliance_framework_and_ai_office_reporting
Original evidence
Evidence 1UT is developing an AI Compliance Framework to provide guidance on legal and regulatory matters, such as the European AI Act... Always report your AI application via the AI Office to ensure that the appropriate measures can be taken in line with the AI Act.
Localized display only
UT is developing an AI Compliance Framework and directs AI applications to the AI Office for AI Act-related measures.
Procurement
UT's AI dossier says users should seek Contract Management approval before accepting licence agreements for new AI applications or paid AI tools that may bind the university.
Review: Agent reviewed
Normalized value: contract_management_approval_for_ai_license_or_paid_tool
Original evidence
Evidence 1Before using any new application or tool, please note that, according to the Use of Personal Applications Policy, it is not permitted to accept license agreements that are binding for the university without prior approval. This applies to both paid and unpaid licenses.
Localized display only
UT says licence agreements binding the university need prior approval, including paid and unpaid licences.
Teaching
UT's AI and assessment guidance warns that AI detection software has limits and may raise privacy, confidentiality, and trustworthiness issues.
Review: Agent reviewed
Normalized value: ai_detection_limited_and_privacy_confidentiality_issues
Original evidence
Evidence 1There are AI detection software, but in general, they have their limits and are not very reliable. There are also privacy, confidentiality, and other issues involved if the work of students or others is put in a system to check.
Localized display only
UT warns teachers that AI detection software is limited and may raise privacy or confidentiality issues.
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
5 source attribution
AI and assessment
utwente.nl
AI in education, research and administration
utwente.nl
Generative AI
utwente.nl
Use of AI in Education at the University of Twente
utwente.nl
UT takes first step toward a shared vision on artificial intelligence
utwente.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.