Policy presence
University of Belgrade has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Belgrade, Serbia
University of Belgrade
University of Belgrade has 4 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.
University of Belgrade AI policy short answer
v1 public contract
University of Belgrade has 4 source-backed AI policy claims from 2 official source attributions, including 4 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 20, 2026. Discovery context: University of Belgrade is listed as QS 2026 rank 761-770.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Belgrade as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-belgrade.json. The entity-level confidence is 90%. 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 Research 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.
- Privacy, sensitive-data, or security 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
University of Belgrade has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
University of Belgrade has 4 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
University of Belgrade has 3 source-backed public claims for exams; deterministic analysis status: blocked.
Privacy and data entry
University of Belgrade has 3 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
University of Belgrade has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
University of Belgrade has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
University of Belgrade has 1 source-backed public claim for named ai services; deterministic analysis status: recommended.
Teaching guidance
University of Belgrade has 4 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Belgrade has 2 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
4 reviewed evidence-backed public claim
Academic Integrity
The Faculty of Organizational Sciences guidance lists prohibited generative AI uses including academic-integrity violations, generating or spreading false content, copyright violations, and entering business or official secrets or other sensitive content into prompts.
Review: Agent reviewed
Normalized value: faculty_guidance_lists_prohibited_gai_uses
Original evidence
Evidence 1У наставку се налази неискључива листа недозвољене употребе ГВИ: Кршење правила академског интегритета ... Генерисање и ширење лажних садржаја ... Кршење ауторских права ... Уношење у промпт било којих података или садржаја који представљају пословну или службену тајну.
Localized display only
The guidance lists prohibited GAI uses including academic-integrity violations, generating and spreading false content, copyright violations, and entering business or official secrets into prompts.
Academic Integrity
The Faculty of Organizational Sciences guidance states that generative AI use is permitted only with respect for academic integrity principles, copyright and intellectual property, personal-data protection, ethical principles, and confidentiality obligations.
Review: Agent reviewed
Normalized value: gai_permitted_only_with_integrity_privacy_confidentiality
Original evidence
Evidence 1Коришћење ГВИ је дозвољено искључиво уз поштовање базичних принципа академског интегритета ... Приликом коришћења ГВИ мора се водити рачуна о правима грађана утврђеним Законом о заштити података о личности (2018).
Localized display only
Generative AI use is permitted only with respect for basic academic-integrity principles; when using GAI, users must take account of personal-data protection rights.
Research
The Faculty of Organizational Sciences journal AI policy requires authors to disclose generative AI use in both the cover letter and a manuscript statement, forbids authors from including personal, confidential, or proprietary material in prompts, and says GAI must not be used to generate peer-review reports.
Review: Agent reviewed
Normalized value: journal_gai_disclosure_confidentiality_peer_review_limits
Original evidence
Evidence 1Authors must clearly disclose any use of GAI in the cover letter, and a statement at the end of the manuscript ... Authors must not include personal data, confidential information, or proprietary materials in prompts used with GAI tools. GAI must not be used to generate peer-review reports.
Localized display only
Authors must disclose GAI use in the cover letter and manuscript statement, must not include personal or confidential material in prompts, and GAI must not generate peer-review reports.
Ai Tool Treatment
The University of Belgrade Faculty of Organizational Sciences has general guidelines that frame responsible generative AI use for students, teaching staff, and non-teaching staff, aiming to improve academic integrity, transparency, and ethical conduct in research, teaching, professional work, and administration.
Review: Agent reviewed
Normalized value: faculty_guidance_responsible_gai_use
Original evidence
Evidence 1Смернице су развијене ради пружања оквира за одговорно коришћење ГВИ технологија код студената, наставног и ненаставног особља. Смернице имају за циљ да се унапреде академски интегритет, транспарентност и етичко понашање у истраживању, наставним пословима, стручним пословима и администрацији.
Localized display only
The guidelines provide a framework for responsible generative AI use by students, teaching staff, and non-teaching staff, aiming to improve academic integrity, transparency, and ethical conduct in research, teaching, professional work, and administration.
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
2 source attribution
Artificial Intelligence (AI) Policy
management.fon.bg.ac.rs
Опште смернице за коришћење генеративне вештачке интелигенције на Факултету организационих наука
fon.bg.ac.rs
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.