Change log

Vilnius University

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.

Vilnius University currently has 9 source-backed claim records and 5 official source attributions. Latest tracked changed date: May 16, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for Vilnius University. 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.

Vilnius University combined release diff

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

+18-0
11 # Vilnius University AI policy record
2+academic_integrity: The Vilnius University AI guidelines treat undisclosed use of a generative AI model in academic work as academic dishonesty.
3+Evidence (lt, 5143667271a6): DI generatyvinio modelio panaudojimo akademiniame darbe neatskleidimas laikytinas akademiniu nesąžingumu.
4+academic_integrity: Vilnius University's AI guidelines state that use of generative AI models in research, written work, applications, and similar work must be clearly indicated.
5+Evidence (lt, 5143667271a6): DI generatyvinių modelių naudojimas tyrimams, rašto darbams, paraiškoms rengti ir pan. privalo būti aiškiai nurodytas.
6+privacy: Vilnius University's AI guidelines say confidential information, personal data, sensitive information, and unpublished research data must not be uploaded to generative AI models.
7+Evidence (lt, 5143667271a6): Siekiant nepažeisti duomenų saugumo į DI generatyvinius modelius negalima kelti konfidencialių duomenų ir (ar) informacijos, įskaitant ... asmens duomenimis ... taip pat dar nepaskelbtais tyrimų duomenimis.
8+source_status: Vilnius University has a Senate-approved central AI usage guideline listed among its official study regulations and academic policy documents.
9+Evidence (lt, 5143667271a6): PATVIRTINTA Vilniaus universiteto senato 2024 m. birželio 18 d. nutarimu Nr. SPN-54. Dirbtinio intelekto naudojimo Vilniaus universitete gairės.
10+teaching: Vilnius University's AI guidelines state that lecturers should not use generative AI models to prepare reviews of final theses.
11+Evidence (lt, 5143667271a6): nenaudoti DI generatyvinių modelių baigiamųjų darbų recenzijoms rengti.
12+academic_integrity: Vilnius University Business School guidelines allow students to use AI tools in academic works, while requiring disclosure and treating failure to specify AI use and provide a transcript in annexes as academic dishonesty.
13+Evidence (en, 58e793965537): VU BS students are allowed to use artificial intelligence tools in academic works ... Failure to follow the instructions ... without specifying where and how artificial intelligence was used, without providing a transcript in the annexes, is treated as academic dishonesty.
14+privacy: Vilnius University Business School guidelines say public or free AI tools must not receive research data, study materials, work drafts, notes, or personal information, and Level 2-5 data must not be entered unless approved by the University and explicitly permitted.
15+Evidence (en, 58e793965537): Students must not upload research data, study materials, work drafts, notes, or personal information. Only Level 1 data may be shared with publicly accessible AI tools without prior permission. Level 2–5 data must never be entered or shared with AI tools ... unless the AI tool has been approved by Vilnius University and the student has received explicit permission.
16+ai_tool_treatment: Vilnius University Faculty of Communication recommendations allow AI use in assignments as specified by teaching staff, require acknowledgment, and set a 5% character-count limit for AI-generated text in assessed written assignments.
17+Evidence (en, 712d58a69427): As specified by individual teaching staff, students are permitted to use artificial intelligence ... Students must acknowledge the use of AI ... The amount of AI-generated text ... must not exceed 5% of the total character count.
18+academic_integrity: Within the Vilnius University Faculty of Communication, a declaration on the use of artificial intelligence tools must accompany all written academic works submitted within the Faculty.
19+Evidence (en, 9a83372c4605): The Faculty Council of the Faculty of Communication, by Resolution No. 160000-TPN-36 of 27 October 2025, has established that a declaration on the use of artificial intelligence tools must accompany all written academic works submitted within the Faculty.

Release history

0 public release diffs

Claim changes

9 claim records

academic_integrity

The Vilnius University AI guidelines treat undisclosed use of a generative AI model in academic work as academic dishonesty.

Review: Agent reviewedConfidence95%Evidence1Languageslt

academic_integrity

Vilnius University's AI guidelines state that use of generative AI models in research, written work, applications, and similar work must be clearly indicated.

Review: Agent reviewedConfidence94%Evidence1Languageslt

privacy

Vilnius University's AI guidelines say confidential information, personal data, sensitive information, and unpublished research data must not be uploaded to generative AI models.

Review: Agent reviewedConfidence94%Evidence1Languageslt

source_status

Vilnius University has a Senate-approved central AI usage guideline listed among its official study regulations and academic policy documents.

Review: Agent reviewedConfidence93%Evidence2Languagesen, lt

teaching

Vilnius University's AI guidelines state that lecturers should not use generative AI models to prepare reviews of final theses.

Review: Agent reviewedConfidence93%Evidence1Languageslt

academic_integrity

Vilnius University Business School guidelines allow students to use AI tools in academic works, while requiring disclosure and treating failure to specify AI use and provide a transcript in annexes as academic dishonesty.

Review: Agent reviewedConfidence90%Evidence1Languagesen

privacy

Vilnius University Business School guidelines say public or free AI tools must not receive research data, study materials, work drafts, notes, or personal information, and Level 2-5 data must not be entered unless approved by the University and explicitly permitted.

Review: Agent reviewedConfidence90%Evidence1Languagesen

ai_tool_treatment

Vilnius University Faculty of Communication recommendations allow AI use in assignments as specified by teaching staff, require acknowledgment, and set a 5% character-count limit for AI-generated text in assessed written assignments.

Review: Agent reviewedConfidence89%Evidence1Languagesen

academic_integrity

Within the Vilnius University Faculty of Communication, a declaration on the use of artificial intelligence tools must accompany all written academic works submitted within the Faculty.

Review: Agent reviewedConfidence88%Evidence1Languagesen

Source snapshots

5 source attributions

VU Faculty of Communication - Documents regulating studies

official_guidance Tracker checked at May 16, 2026, 6:42 PM

Snapshot hash
9a83372c460530ed9dd9d6cefe12ebbbc3ab539c22aaf22704ea11764cf190f3