Policy presence
V. N. Karazin Kharkiv National University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Kharkiv, Ukraine
V. N. Karazin Kharkiv National University has 5 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 20, 2026.
v1 public contract
V. N. Karazin Kharkiv National University has 5 source-backed AI policy claims from 4 official source attributions, including 5 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.
As of this public record, University AI Policy Tracker lists V. N. Karazin Kharkiv National University as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/v-n-karazin-kharkiv-national-university.json. The entity-level confidence is 91%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
V. N. Karazin Kharkiv National University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
V. N. Karazin Kharkiv National University has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
V. N. Karazin Kharkiv National University has 2 source-backed public claims for coursework; deterministic analysis status: required.
V. N. Karazin Kharkiv National University has 2 source-backed public claims for exams; deterministic analysis status: required.
V. N. Karazin Kharkiv National University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: conditionally_allowed.
V. N. Karazin Kharkiv National University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
V. N. Karazin Kharkiv National University has 1 source-backed public claim for named ai services; deterministic analysis status: conditionally_allowed.
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
V. N. Karazin Kharkiv National University has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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.
5 reviewed evidence-backed public claim
Academic Integrity
Normalized value: journal_authors_required_to_disclose_ai_use
Original evidence
Evidence 1Authors of publications are required to declare the use of AI tools, indicating the purpose, tools and volume of generated content. Concealing the fact of using AI is considered a violation of academic integrity.
Localized display only
Authors must declare AI tool use; concealing AI use is considered an academic integrity violation.
Research
Normalized value: journal_ai_not_author_or_coauthor
Original evidence
Evidence 1AI can be an auxiliary tool, but cannot act as an author, co-author, or be responsible for the content of the work. The authors bear sole responsibility for the authenticity, originality, and correctness of the materials.
Localized display only
AI can be an auxiliary tool, but cannot be an author or co-author; authors remain solely responsible for the work.
Academic Integrity
Normalized value: employee_declaration_responsible_ai_use
Original evidence
Evidence 1використовувати технології штучного інтелекту відповідально, дотримуючись принципів академічної доброчесності, об’єктивності та наукової етики;
Localized display only
Use artificial intelligence technologies responsibly, following principles of academic integrity, objectivity, and scientific ethics.
Privacy
Normalized value: journal_public_ai_systems_unpublished_research_data_depersonalized
Original evidence
Evidence 1interaction with public AI systems should exclude the transfer of such information as research data until their official publication, and the use of the above-mentioned data in queries to AI is permissible only if they are previously completely depersonalized.
Localized display only
Public AI system prompts should not include unpublished research data unless the data are first completely depersonalized.
Source Status
Normalized value: official_news_describes_university_ai_policy
Original evidence
Evidence 1The central highlight of the training was the presentation of the University’s Policy on the Use of AI. This document defines ethical boundaries and regulatory requirements for working with AI tools, ensuring adherence to the principles of academic integrity.
Localized display only
The training presented the University's Policy on the Use of AI, described as defining ethical boundaries and regulatory requirements for AI tools.
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.
4 source attribution
periodicals.karazin.ua
karazin.ua
periodicals.karazin.ua
karazin.ua
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