Policy presence
University of Pecs has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Pécs, Hungary
University of Pecs
University of Pecs has 4 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 4 reviewed claims. Last checked May 18, 2026.
University of Pecs AI policy short answer
v1 public contract
University of Pecs has 4 source-backed AI policy claims from 1 official source attribution, including 4 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 18, 2026. Discovery context: University of Pecs is listed as QS 2026 rank 741-750.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Pecs as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-pecs.json. The entity-level confidence is 91%. 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.
Policy signals in this record
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Academic integrity 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.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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
University of Pecs has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Pecs has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
University of Pecs has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
University of Pecs has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Pecs has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
University of Pecs has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
University of Pecs has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Pecs has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Pecs has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
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
For student performance assessment, the University of Pecs guideline says the university does not recommend using automated decision-making systems or large language models for substantive qualifying evaluation.
Review: Agent reviewed
Normalized value: ai_not_recommended_for_substantive_assessment
Original evidence
Evidence 1Mindezek alapján az Egyetem nem javasolja sem automatizált döntéshozatali rendszerek, sem nagy nyelvi modellek alkalmazását a hallgatói teljesítmények érdemi, minősítő értékelésére.
Localized display only
For substantive qualifying evaluation of student performance, the university does not recommend automated decision-making systems or large language models.
Ai Tool Treatment
The University of Pecs AI guideline is scoped to educational and research activities needed to meet study requirements and applies to university citizens when they use AI systems in connection with setting, meeting, or evaluating course and training requirements.
Review: Agent reviewed
Normalized value: central_ai_guideline_scope
Original evidence
Evidence 1Jelen irányelv hatálya az adott képzésen a Tanulmányi és Vizsgaszabályzat alapján kiadott tantárgyi követelmények teljesítéséhez szükséges oktatási és kutatási tevékenységekre terjed ki.
Localized display only
The guideline's scope covers educational and research activities needed to meet course requirements issued under the Study and Examination Regulations.
Privacy
The University of Pecs guideline advises students who enter data into AI systems to consider personal-data protection, classified-data protection, cybersecurity rules, and applicable external and university restrictions.
Review: Agent reviewed
Normalized value: ai_data_entry_privacy_security_guidance
Original evidence
Evidence 1amennyiben a hallgatók adatokat visznek be az MI-rendszerekbe azok használata során, mindenképpen legyenek figyelemmel a személyes adatok védelmére, a minősített adatok védelmére, a kiberbiztonsági előírások betartására
Localized display only
When students enter data into AI systems, the guideline advises attention to personal data, classified data, and cybersecurity requirements.
Academic Integrity
For student work, the University of Pecs guideline advises students who use AI-generated text to check its content and cite it as AI-produced text according to TVSZ Annex 14 and the citation form recommended in the guideline.
Review: Agent reviewed
Normalized value: ai_generated_text_check_and_cite
Original evidence
Evidence 1ha a fentiek ellenére mégis az MI-rendszerek szövegalkotási produktumát használják fel, ellenőrizzék annak tartalmát, s egyúttal hivatkozzák meg azokat a TVSZ 14. mellékletének 3. §-ával összhangban, mint mesterséges intelligencia által előállított szövegeket
Localized display only
If students use AI-generated text, the guideline says they should check the content and cite it as AI-produced text under TVSZ Annex 14.
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
1 source attribution
A Pécsi Tudományegyetem Mesterséges Intelligencia Irányelve
kpvk.pte.hu
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.
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.