Policy presence
Taras Shevchenko National University of Kyiv has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Kyiv, Ukraine
Taras Shevchenko National University of Kyiv
Taras Shevchenko National University of Kyiv has 5 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 5 reviewed claims. Last checked May 18, 2026.
Taras Shevchenko National University of Kyiv AI policy short answer
v1 public contract
Taras Shevchenko National University of Kyiv has 5 source-backed AI policy claims from 1 official source attribution, 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 18, 2026. Discovery context: Taras Shevchenko National University of Kyiv is listed as QS 2026 rank 721-730.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Taras Shevchenko National University of Kyiv as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/taras-shevchenko-national-university-of-kyiv.json. The entity-level confidence is 94%. 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 AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy claims.
- No specific AI service name is highlighted by the current public claim text.
- Teaching, assessment, coursework, or syllabus-related 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
Taras Shevchenko National University of Kyiv has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Taras Shevchenko National University of Kyiv has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Taras Shevchenko National University of Kyiv has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Taras Shevchenko National University of Kyiv has 1 source-backed public claim for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
Taras Shevchenko National University of Kyiv has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Taras Shevchenko National University of Kyiv has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
Taras Shevchenko National University of Kyiv has 2 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
Taras Shevchenko National University of Kyiv has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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
5 reviewed evidence-backed public claim
Ai Tool Treatment
KNU has a university-level regulation on use of artificial intelligence in educational programs that applies to participants in the educational process and covers generative AI during educational program implementation.
Review: Agent reviewed
Normalized value: university-level AI use regulation for educational programs
Original evidence
Evidence 1Положення про використання штучного інтелекту при реалізації освітніх програм у КНУ імені Тараса Шевченка ... є обов’язковим для всіх учасників освітнього процесу Університету та визначає засади й принципи використання засобів штучного інтелекту.
Localized display only
The regulation is mandatory for participants in the university educational process and sets principles for using AI tools.
Academic Integrity
Where KNU educational components allow generative AI under levels 2 or 3, the regulation requires students to declare the fact and manner of generative AI use in submitted artifacts for assessment.
Review: Agent reviewed
Normalized value: declaration required for allowed generative AI use in assessed work
Original evidence
Evidence 1Усі випадки використання генеративного штучного інтелекту ... під час виконання оцінюваних навчальних завдань підлягають обов’язковому декларуванню здобувачем освіти ... Декларування факту та способу використання генеративного штучного інтелекту є обов’язковим для освітніх компонентів, у яких встановлено рівні використання штучного інтелекту 2 або 3.
Localized display only
For components using permission levels 2 or 3, students must declare the fact and manner of generative AI use for assessed work.
Academic Integrity
KNU's regulation treats violations of generative AI use rules as academic-integrity violations and lists non-declaration, presenting generated content as one's own result, and using generative AI for unfair advantage among possible violations.
Review: Agent reviewed
Normalized value: AI rule violations handled as academic integrity violations
Original evidence
Evidence 1Порушення правил використання генеративного штучного інтелекту ... недекларування ... подання згенерованого контенту як власного результату ... використання генеративного штучного інтелекту для отримання неправомірної переваги ... Порушення правил використання генеративного штучного інтелекту кваліфікується як порушення академічної доброчесності.
Localized display only
The regulation classifies violations of generative AI use rules as academic-integrity violations and lists examples such as non-declaration and presenting generated content as one's own.
Teaching
For assessed educational work, KNU's regulation uses defined permission levels for generative AI; level 1 prohibits generative AI for assessed tasks, while levels 2 and 3 allow use only within the conditions set for the educational component.
Review: Agent reviewed
Normalized value: level-based generative AI permissions for assessed work
Original evidence
Evidence 1В освітньому процесі використання генеративного штучного інтелекту здійснюється відповідно до одного з установлених рівнів дозволу ... Рівень 1: Повна заборона ... Заборонено: будь-яке використання генеративного штучного інтелекту для виконання завдань, що підлягають оцінюванню.
Localized display only
The regulation sets permission levels for generative AI, including a level that fully prohibits generative AI use for assessed tasks.
Privacy
KNU's AI regulation says AI use should respect confidentiality and protect personal data, and it prohibits sending personal, confidential, or official information to AI systems without proper legal grounds.
Review: Agent reviewed
Normalized value: personal data and confidentiality restriction for AI tools
Original evidence
Evidence 1Конфіденційність. Використання систем штучного інтелекту повинно здійснюватися ... забезпечуючи конфіденційність персональних даних ... Заборонено: ... передання до систем штучного інтелекту персональних даних, конфіденційної або службової інформації без належних правових підстав.
Localized display only
The regulation ties AI use to confidentiality and personal-data protection, and bars sending personal, confidential, or official information without proper legal grounds.
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
1 source attribution
Положення про використання штучного інтелекту при реалізації освітніх програм у Київському національному університеті імені Тараса Шевченка
biomed.knu.ua
Change log
Source-check timeline and diff-style claim/evidence preview.
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Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
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