Vienna, Austria

University of Vienna

University of Vienna is listed as QS 2026 rank 152. University of Vienna has 4 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

University of Vienna is listed as QS 2026 rank 152. University of Vienna has 4 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 University of Vienna as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 4 source-backed claims, including 4 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/university-of-vienna.json. The entity-level confidence is 98%. 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.

Claim coverage4 reviewedSource languagedePublic JSON/api/public/v1/universities/university-of-vienna.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Evidence includes AI tool treatment claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources4

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 score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence82%

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.

Policy presence

University of Vienna has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence83%Evidence1Sources1

AI disclosure

University of Vienna has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.

RequiredMachine candidateConfidence83%Evidence1Sources1

Privacy and data entry

University of Vienna has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence83%Evidence1Sources1

Academic integrity

University of Vienna has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence83%Evidence1Sources1

Approved tools

University of Vienna has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Teaching guidance

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

RecommendedMachine candidateConfidence82%Evidence1Sources1

Research guidance

No source-backed public claim about research AI use is present in this profile.

The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

Privacy

The University of Vienna says u:ai is the official AI access point in a secure cloud, processes data within the EU, and does not use entered content to train AI models.

Review: Agent reviewedConfidence98%

Normalized value: uai_processes_data_within_eu_and_does_not_train_on_entered_content

Original evidence

Evidence 1
u:ai ist die KI-Plattform der Universität Wien und ermöglicht Studierenden einen datenschutzkonformen Zugang zu verschiedenen KI-Modellen. Die Verarbeitung aller Daten erfolgt innerhalb der EU (Ausnahme: Internetsuche, Modell Mistral). Die eingegebenen Inhalte werden nicht für das Training von KI-Modellen verwendet.

Localized display only

u:ai is the official secure AI access point, with EU processing and no model training on entered content.

Academic Integrity

The University of Vienna says students must transparently and understandably disclose whether and how they used AI, and that undisclosed use violates good scientific practice.

Review: Agent reviewedConfidence97%

Normalized value: ai_use_must_be_disclosed_and_undisclosed_use_violates_good_scientific_practice

Original evidence

Evidence 1
Um Ihre Eigenleistung sichtbar zu machen, ist es auch notwendig, transparent und nachvollziehbar darzustellen, ob und wie Sie KI genutzt haben. Es muss erkennbar sein, welche Teile der Arbeit von Ihnen selbst stammen, damit Ihre eigenständige Leistung korrekt beurteilt werden kann.

Localized display only

AI use must be disclosed clearly and can violate good academic practice if hidden.

Teaching

The University of Vienna says students remain fully responsible for every submitted performance even when they used AI tools.

Review: Agent reviewedConfidence96%

Normalized value: students_remain_fully_responsible_for_submissions_when_using_ai

Original evidence

Evidence 1
Grundsätzlich gilt: Sie tragen die volle Verantwortung für alle Leistungen, die Sie einreichen – auch dann, wenn Sie KI-Tools verwendet haben.

Localized display only

Students keep full responsibility for submitted work even when using AI.

Ai Tool Treatment

The University of Vienna says whether AI is allowed in studies depends on the context, and if there is no clear permission, AI is not allowed.

Review: Agent reviewedConfidence95%

Normalized value: ai_allowed_only_with_clear_permission_and_context_dependent

Original evidence

Evidence 1
Ob und wie der Einsatz von KI erlaubt ist, hängt immer vom jeweiligen Kontext ab. Im Zweifel gilt: KI ist nicht erlaubt, solange keine klare Erlaubnis vorliegt.

Localized display only

AI use in studies is context-dependent and needs clear permission.

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

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 14, 2026Last changedMay 14, 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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