Policy presence
Utrecht University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Utrecht, Netherlands
Utrecht University is listed as QS 2026 rank =103. Utrecht University has 6 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Utrecht University is listed as QS 2026 rank =103. Utrecht University has 6 source-backed AI policy claim records from 6 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists Utrecht University 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 6 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/utrecht-university.json. The entity-level confidence is 94%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Utrecht University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
Utrecht University has 2 source-backed public claims for coursework; deterministic analysis status: required.
Utrecht University has 2 source-backed public claims for exams; deterministic analysis status: required.
Utrecht University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Utrecht University has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Utrecht University has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Utrecht University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Utrecht University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
Utrecht University has 1 source-backed public claim for security and procurement; deterministic analysis status: restricted.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
6 reviewed evidence-backed public claim
Source Status
Normalized value: central institutional AI policy page
Original evidence
Evidence 1This institutional AI policy is being endorsed by the Executive Board and the University Council and will be shaped based on legal frameworks, UU frameworks and our academic values. At UU we use the term Responsible AI by which we mean the ethical and responsible application of AI systems and tools. This is not limited to Generative AI but applies to all forms of AI.
Localized display only
Utrecht University describes an institutional AI policy endorsed by its Executive Board and University Council and defines Responsible AI across AI systems and tools.
Security Review
Normalized value: employee AI tool accounts require university supplied safe tool exception for UU credentials
Original evidence
Evidence 1It is not permitted to create an AI-tool account using your UU email address or SolisID unless the AI system or tool is supplied by the university and considered safe.
Localized display only
Employees may not use UU email or SolisID to create an AI-tool account unless the university supplies the AI system or tool and considers it safe.
Ai Tool Treatment
Normalized value: student AI index levels set by course or assignment
Original evidence
Evidence 1In education, we are working with the AI index. That is a 5-level scale indicating to what extent or how you may use generative AI or, for example, AI for data analysis etc. The teacher can choose from the 5 levels of AI use within the course as a whole, but can also choose to select different levels for specific assignments.
Localized display only
The AI index is a five-level scale for AI use, and teachers can set levels for a whole course or specific assignments.
Privacy
Normalized value: student AI accounts should not use UU email for external tools
Original evidence
Evidence 1Do not enter your UU student email-address for verification purposes or to create an account. Be aware that free actually means that you are paying with your data. A teacher cannot force you to create an account in an AI tool because we cannot yet offer secure AI tools from the UU.
Localized display only
For students, Utrecht says not to use a UU student email address for external AI-tool accounts and says teachers cannot force AI-tool account creation while UU lacks secure AI tools.
Research
Normalized value: research GenAI input should avoid personal or sensitive data unless data protection law is respected
Original evidence
Evidence 1Do not use any personal or sensitive data as input when using GenAI tools, unless you are certain that the data protection law is respected. Many risks pertaining to GenAI are not immediately visible. In many cases, it is necessary to assess the impact of your use of GenAI on data protection and privacy.
Localized display only
For researchers, Utrecht says not to use personal or sensitive data in GenAI tools unless data protection law is respected, and says privacy impacts may need assessment.
Teaching
Normalized value: teacher guidance emphasizes responsible legal human-in-the-loop use
Original evidence
Evidence 1However, the use of AI systems and tools must be ethical and legally compliant, while we as a university and as humans-in-the-loop retain our own freedom of action. We want to exploit opportunities of AI and mitigate the risks.
Localized display only
The teacher guidance frames AI use around ethical, legal, human-in-the-loop use while exploiting opportunities and mitigating risks.
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.
6 source attribution
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