Change log

University of Pecs

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Change summary

Current public record freshness and review state.

University of Pecs currently has 4 source-backed claim records and 1 official source attribution. Latest tracked changed date: May 18, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for University of Pecs. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

This tracker 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.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

University of Pecs combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+8-0
11 # University of Pecs AI policy record
2+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.
3+Evidence (hu, 352f69dbf796): Mindezek alapján az Egyetem nem javasolja sem automatizált döntéshozatali rendszerek, sem nagy nyelvi modellek alkalmazását a hallgatói teljesítmények érdemi, minősítő értékelésére.
4+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.
5+Evidence (hu, 352f69dbf796): Jelen irányelv hatálya az adott képzésen a Tanulmányi és Vizsgaszabályzat alapján kiadott tantárgyi követelmények teljesítéséhez szükséges oktatási és kutatási tevékenységekre terjed ki.
6+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.
7+Evidence (hu, 352f69dbf796): amennyiben 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
8+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.
9+Evidence (hu, 352f69dbf796): ha 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

Release history

0 public release diffs

Claim changes

4 claim records

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 reviewedConfidence91%Evidence1Languageshu

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 reviewedConfidence90%Evidence1Languageshu

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 reviewedConfidence88%Evidence1Languageshu

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 reviewedConfidence90%Evidence1Languageshu

Source snapshots

1 source attribution