Amsterdam, Netherlands

University of Amsterdam

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.

Short answer

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.

Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources5

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.

Coverage score70/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence80%

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Privacy and data entry

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

University of Amsterdam has 2 source-backed public claims for academic integrity; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence2Sources2

Approved tools

University of Amsterdam has 2 source-backed public claims for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence80%Evidence2Sources2

Named AI services

University of Amsterdam has 2 source-backed public claims for named ai services; deterministic analysis status: unclear.

UnclearMachine candidateConfidence80%Evidence2Sources2

Teaching guidance

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

RecommendedMachine candidateConfidence81%Evidence2Sources2

Research guidance

University of Amsterdam has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence81%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

4 reviewed evidence-backed public claim

Teaching

The University of Amsterdam has a policy framework for Generative AI in education that provides central guidelines for responsible use of GenAI based on scientific integrity, with room for faculties and programmes to translate the policy into their own educational practice.

Review: Agent reviewedConfidence96%

Normalized value: UvA has official GenAI policy framework for education with faculty-level customization

Original evidence

Evidence 1
The 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

At the UvA, both the Netherlands Code of Conduct for Research Integrity and the European Code of Conduct for Research Integrity apply, which outline the principles and standards for integrity in research and teaching.

Review: Agent reviewedConfidence95%

Normalized value: UvA adheres to Netherlands and European Codes of Conduct for Research Integrity

Original evidence

Evidence 1
At 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

The University of Amsterdam is developing its own AI chat environment called UvA AI Chat, which is similar to ChatGPT but is fully self-managed and specifically designed for UvA students, lecturers and staff.

Review: Agent reviewedConfidence94%

Normalized value: UvA AI Chat is official self-managed AI tool for UvA community

Original evidence

Evidence 1
The 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

The UvA and VU task force on AI in education has produced criteria for software to ensure academic integrity, and expects students to be transparent about how they have applied generative AI in their own learning and work.

Review: Agent reviewedConfidence93%

Normalized value: UvA requires student transparency on GenAI use and has software criteria for academic integrity

Original evidence

Evidence 1
The 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.

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

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.

Last checkedMay 11, 2026Last changedMay 11, 2026Open change log

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.

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