Policy presence
University of Amsterdam has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Amsterdam, Netherlands
University of Amsterdam is listed as QS 2026 rank 53. University of Amsterdam has 4 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.
v1 public contract
University of Amsterdam is listed as QS 2026 rank 53. University of Amsterdam has 4 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.
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.
University of Amsterdam 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.
University of Amsterdam has 4 source-backed public claims for coursework; deterministic analysis status: recommended.
University of Amsterdam has 4 source-backed public claims for exams; deterministic analysis status: recommended.
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
University of Amsterdam has 2 source-backed public claims for academic integrity; deterministic analysis status: recommended.
University of Amsterdam has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.
University of Amsterdam has 2 source-backed public claims for named ai services; deterministic analysis status: unclear.
University of Amsterdam has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
University of Amsterdam has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
4 reviewed evidence-backed public claim
Teaching
Normalized value: UvA has official GenAI policy framework for education with faculty-level customization
Original evidence
Evidence 1The policy framework contains general and specific guidelines for the responsible use of GenAI in education. At the same time, it offers faculties and programmes room to translate the policy into their own educational practice. After all, GenAI requires customization: the impact and proper application differs per discipline.
Academic Integrity
Normalized value: UvA adheres to Netherlands and European Codes of Conduct for Research Integrity
Original evidence
Evidence 1At the UvA, both the Netherlands Code of Conduct for Research Integrity and the European Code of Conduct for Research Integrity apply. These outline the principles and standards for integrity in research and teaching.
Ai Tool Treatment
Normalized value: UvA AI Chat is official self-managed AI tool for UvA community
Original evidence
Evidence 1The UvA is developing its own AI chat environment: the UvA AI Chat. This application is similar to ChatGPT but is fully self-managed and specifically designed for UvA students, lecturers and staff.
Ai Tool Treatment
Normalized value: UvA requires student transparency on GenAI use and has software criteria for academic integrity
Original evidence
Evidence 1The UvA and VU draw up clear rules and guidelines on how students may use AI during teaching and assessment. We expect students to be transparent about how they have applied generative AI in their own learning and work.
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.
5 source attribution
uva.nl
uva.nl
uva.nl
tlc.uva.nl
uva.nl
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