Policy presence
Vilnius University has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Vilnius, Lithuania
Vilnius University
Vilnius University is listed as QS 2026 rank 446. Vilnius University has 9 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Vilnius University is listed as QS 2026 rank 446. Vilnius University has 9 source-backed AI policy claim records from 5 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 Vilnius University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 9 source-backed claims, including 9 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/vilnius-university.json. The entity-level confidence is 95%. 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 Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Source status claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment 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
Vilnius University has 5 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Vilnius University has 5 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Vilnius University has 5 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Vilnius University has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Vilnius University has 4 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Vilnius University has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
Vilnius University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Vilnius University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Vilnius University has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
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
9 reviewed evidence-backed public claim
Academic Integrity
The Vilnius University AI guidelines treat undisclosed use of a generative AI model in academic work as academic dishonesty.
Review: Agent reviewed
Normalized value: undisclosed_generative_ai_use_academic_dishonesty
Original evidence
Evidence 1DI generatyvinio modelio panaudojimo akademiniame darbe neatskleidimas laikytinas akademiniu nesąžingumu.
Localized display only
Non-disclosure of generative AI model use in academic work is considered academic dishonesty.
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 reviewed
Normalized value: generative_ai_use_must_be_disclosed
Original evidence
Evidence 1DI generatyvinių modelių naudojimas tyrimams, rašto darbams, paraiškoms rengti ir pan. privalo būti aiškiai nurodytas.
Localized display only
Use of generative AI models for research, written work, applications, and similar work must be clearly indicated.
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 reviewed
Normalized value: confidential_personal_unpublished_data_not_uploaded_to_genai
Original evidence
Evidence 1Siekiant nepažeisti duomenų saugumo į DI generatyvinius modelius negalima kelti konfidencialių duomenų ir (ar) informacijos, įskaitant ... asmens duomenimis ... taip pat dar nepaskelbtais tyrimų duomenimis.
Localized display only
To protect data security, confidential information, personal data, and unpublished research data must not be uploaded to generative AI models.
Source Status
Vilnius University has a Senate-approved central AI usage guideline listed among its official study regulations and academic policy documents.
Review: Agent reviewed
Normalized value: central_ai_guidelines_available
Original evidence
Evidence 1PATVIRTINTA Vilniaus universiteto senato 2024 m. birželio 18 d. nutarimu Nr. SPN-54. Dirbtinio intelekto naudojimo Vilniaus universitete gairės.
Localized display only
Approved by Vilnius University Senate Resolution No. SPN-54 on 18 June 2024: Guidelines on AI usage at Vilnius University.
Original evidence
Evidence 2Study Regulations and Academic Policies ... Ethics and Dispute Resolution ... The Guidelines on Artificial Intelligence Usage at Vilnius University.
Localized display only
The official regulations index lists the AI usage guidelines under Study Regulations and Academic Policies.
Teaching
Vilnius University's AI guidelines state that lecturers should not use generative AI models to prepare reviews of final theses.
Review: Agent reviewed
Normalized value: lecturers_should_not_use_genai_for_thesis_reviews
Original evidence
Evidence 1nenaudoti DI generatyvinių modelių baigiamųjų darbų recenzijoms rengti.
Localized display only
Lecturers should not use generative AI models to prepare reviews of final theses.
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 reviewed
Normalized value: business_school_ai_allowed_disclosure_transcript_required
Original evidence
Evidence 1VU 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.
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 reviewed
Normalized value: business_school_public_ai_data_limits
Original evidence
Evidence 1Students 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.
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 reviewed
Normalized value: faculty_of_communication_ai_use_allowed_if_specified_acknowledged_5_percent_limit
Original evidence
Evidence 1As 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.
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 reviewed
Normalized value: faculty_of_communication_ai_declaration_required
Original evidence
Evidence 1The 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.
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
5 source attribution
Dirbtinio intelekto naudojimo Vilniaus universitete gairės
vu.lt
Recommendations on the Use of Artificial Intelligence in Study Assignments at the Faculty of Communication, Vilnius University
kf.vu.lt
Regulations and Documents
vu.lt
Vilnius University Business School Guidelines for the Ethical Use of Artificial Intelligence in Academic Work
vm.vu.lt
VU Faculty of Communication - Documents regulating studies
kf.vu.lt
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.