Policy presence
Technische Universität Wien has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Vienna, Austria
Technische Universität Wien is listed as QS 2026 rank =197. Technische Universität Wien 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.
v1 public contract
Technische Universität Wien is listed as QS 2026 rank =197. Technische Universität Wien 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.
As of this public record, University AI Policy Tracker lists Technische Universität Wien as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 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/technische-universitat-wien.json. The entity-level confidence is 93%. 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.
Technische Universität Wien has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Technische Universität Wien has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Technische Universität Wien has 3 source-backed public claims for coursework; deterministic analysis status: required.
Technische Universität Wien has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Technische Universität Wien has 2 source-backed public claims for privacy and data entry; deterministic analysis status: required.
Technische Universität Wien has 2 source-backed public claims for academic integrity; deterministic analysis status: blocked.
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Technische Universität Wien has 2 source-backed public claims for named ai services; deterministic analysis status: required.
Technische Universität Wien has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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
Academic Integrity
Normalized value: disclose_and_mark_genai_use_in_written_work
Original evidence
Evidence 1ChatGPT und andere Large Language Models müssen als Hilfsmittel dokumentiert und die Stellen, bei denen KI’s eingesetzt wurden, entsprechend markiert werden. ... Es ist wichtig zu verstehen, dass die nicht offengelegte Verwendung von generativer KI in einer studentischer Arbeit einem Plagiat gleichkommt.
Localized display only
ChatGPT and other large language models must be documented as aids and AI-used passages marked; undisclosed generative-AI use in a student work is treated as equivalent to plagiarism.
Privacy
Normalized value: avoid_personal_or_identifying_data_in_ai_prompts
Original evidence
Evidence 1Schaffen Sie in Ihrer Lehrveranstaltung Bewusstsein dafür, dass man bei der Eingabe von Daten in das Modell vorsichtig sein und die gesetzlichen Regeln zum Datenschutz einhalten muss. Achtung: Geben Sie niemals personenbezogene Daten von sich und insbesondere von anderen Personen ... ein oder Daten, die Personen identifizierbar machen.
Localized display only
Instructors should raise awareness that data entered into the model requires caution and compliance with data-protection rules; never enter personal or identifying data.
Academic Integrity
Normalized value: assessment_design_should_account_for_ai_detection_limits
Original evidence
Evidence 1Eine zuverlässige technische Identifikation des Einsatzes von KI-Tools ist kaum möglich. ... Prüfungsformate werden so umgestaltet, dass Sie nicht ausschließlich durch KI-Outputs gelöst werden können.
Localized display only
Reliable technical identification of AI-tool use is hardly possible; exam formats should be redesigned so they cannot be solved exclusively by AI outputs.
Teaching
Normalized value: instructor_discretion_with_clear_course_rules
Original evidence
Evidence 1Die Entscheidung, ob Lehrkräfte KI-Systeme verwenden obliegt ihnen selbst. Sollten diese verwendet werden, dann müssen die Vorgaben klar definiert sein und der Umgang mit diesen entsprechend in den Fokus gestellt werden.
Localized display only
The decision whether instructors use AI systems is up to them; if used, the rules must be clearly defined and handling of the technologies must be made central.
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.
4 source attribution
tuwien.at
tuwien.at
tuwien.at
tuwien.at
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