Change log

University of Pecs

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

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.

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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

University of Pecs current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+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

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