Vilnius, Lithuania
Reviewed record
9 reviewed claims
Academic Integrity
Normalized value: undisclosed_generative_ai_use_academic_dishonesty
Original evidence
Evidence 1DI generatyvinio modelio panaudojimo akademiniame darbe neatskleidimas laikytinas akademiniu nesąžingumu.
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Non-disclosure of generative AI model use in academic work is considered academic dishonesty.
Academic Integrity
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.
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Use of generative AI models for research, written work, applications, and similar work must be clearly indicated.
Privacy
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.
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To protect data security, confidential information, personal data, and unpublished research data must not be uploaded to generative AI models.
Source Status
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.
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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.
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The official regulations index lists the AI usage guidelines under Study Regulations and Academic Policies.
Teaching
Normalized value: lecturers_should_not_use_genai_for_thesis_reviews
Original evidence
Evidence 1nenaudoti DI generatyvinių modelių baigiamųjų darbų recenzijoms rengti.
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Lecturers should not use generative AI models to prepare reviews of final theses.
Academic Integrity
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
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
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
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.
Source record
5 sources
vu.lt
kf.vu.lt
vu.lt
vm.vu.lt
kf.vu.lt
Citation: University AI Policy Tracker. "Vilnius University AI Policy Tracker record." Last checked May 16, 2026. https://eduaipolicy.org/universities/vilnius-university
Original university source language remains canonical. This tracker is not an official university statement.
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