Linz, Austria

Johannes Kepler University Linz

Johannes Kepler University Linz is listed as QS 2026 rank =473. Johannes Kepler University Linz has 5 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Johannes Kepler University Linz is listed as QS 2026 rank =473. Johannes Kepler University Linz has 5 source-backed AI policy claim records from 2 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 Johannes Kepler University Linz as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/johannes-kepler-university-linz.json. The entity-level confidence is 92%. 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 coverage5 reviewedSource languagedePublic JSON/api/public/v1/universities/johannes-kepler-university-linz.json

Policy signals in this record

  • Evidence includes Privacy claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Teaching claims.
  • Evidence includes Source status claims.
  • No specific AI service name is highlighted by the current public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official sources2

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 confidence72%

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.

Approved tools

Johannes Kepler University Linz has 1 source-backed public claim for approved tools; deterministic analysis status: required.

RequiredMachine candidateConfidence75%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

5 reviewed evidence-backed public claim

Privacy

JKU's scientific-work agreement prohibits entering real collected datasets into AI systems for the covered bachelor-work data-analysis use case.

Review: Agent reviewedConfidence92%

Normalized value: real_collected_datasets_ai_input_prohibited

Original evidence

Evidence 1
Datenanalyse und Interpretation: KI kann zur Generierung synthetischer Datensätze für Testzwecke genutzt werden. Diese müssen auf ihre Repräsentativität und mögliche Verzerrungen geprüft werden. Die Eingabe real erhobener Datensätze in KI-Systeme ist strikt untersagt und kann rechtliche Konsequenzen nach sich ziehen.

Localized display only

For data analysis and interpretation, AI may be used to generate synthetic test datasets, but entering real collected datasets into AI systems is strictly prohibited.

Academic Integrity

JKU's scientific-work agreement states that responsibility for academic honesty remains even when AI is used, and that documentation-required AI use must be recorded and submitted with the bachelor thesis.

Review: Agent reviewedConfidence91%

Normalized value: academic_integrity_responsibility_and_ai_documentation

Original evidence

Evidence 1
Die Verantwortung für wissenschaftliche Redlichkeit bleibt auch bei KI-Einsatz bestehen! Die verwendeten dokumentationspflichtigen KI-Anwendungen sind zu protokollieren und bei der Abgabe der Bachelorarbeit der betreuenden Person zu übergeben.

Localized display only

Responsibility for academic honesty remains when AI is used, and documentation-required AI applications must be recorded and submitted to the supervisor.

Ai Tool Treatment

JKU's scientific-work agreement says generative AI may be used for the covered work when allowed applications are agreed with supervision, with applications divided into documentation-required and non-documentation-required categories.

Review: Agent reviewedConfidence88%

Normalized value: allowed_with_supervision_and_documentation_categories

Original evidence

Evidence 1
Bei der Erstellung Ihrer Arbeit dürfen Sie die erlaubten Anwendungen nutzen. Diese sind mit der Betreuung zu vereinbaren. Diese Anwendungen werden in dokumentationspflichtige und nicht dokumentationspflichtige Kategorien unterteilt.

Localized display only

For the work covered by the agreement, students may use allowed applications agreed with supervision; applications are divided into documentation-required and non-documentation-required categories.

Teaching

JKU's Center for Higher Education Didactics and AI-competent Higher Education provides a German AI-tools overview intended to help university instructors understand and integrate AI tools into teaching and work routines.

Review: Agent reviewedConfidence84%

Normalized value: teaching_ai_tools_overview

Original evidence

Evidence 1
Ziel des Zentrums für Hochschuldidaktik und AI-kompetente Hochschullehre (ZHD) ist es, Ihnen eine fundierte Grundlage zu bieten, um Potenziale von KI-Technologien besser zu verstehen und gezielt in Ihren Lehr- und Arbeitsalltag zu integrieren.

Localized display only

The ZHD says its goal is to provide a foundation for understanding AI technologies and integrating them into teaching and work routines.

Source Status

This staged crawl found official JKU AI guidance and agreement documents, but not a single central public all-university AI policy page; claims are therefore scoped to the retrieved JKU teaching overview and scientific-work agreement.

Review: Agent reviewedConfidence70%

Normalized value: official_guidance_found_no_single_central_policy_page

Original evidence

Evidence 1
Liebe Kolleg*innen, in diesem Dokument finden Sie eine Übersicht zahlreicher praktischer Werkzeuge Künstlicher Intelligenz. Diese Tools sollen helfen, das Lehren und Lernen an unserer Universität zu unterstützen.

Localized display only

The ZHD PDF is framed as an overview of AI tools to support teaching and learning at the university.

Original evidence

Evidence 2
Dieses Dokument legt die Rahmenbedingungen für die Anfertigung Ihrer wissenschaftlichen Arbeit fest. Es beinhaltet sowohl den formalen Ablauf des Arbeitsprozesses als auch die zulässigen Formen der Unterstützung durch Künstliche Intelligenz (KI).

Localized display only

The agreement is framed as setting the framework for a scientific work process and the permitted forms of AI support.

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

2 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 16, 2026Last changedMay 16, 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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