Policy presence
Novosibirsk State University has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Novosibirsk, Russia
Novosibirsk State University
Novosibirsk State University has 6 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 6 reviewed claims. Last checked May 16, 2026.
Novosibirsk State University AI policy short answer
v1 public contract
Novosibirsk State University has 6 source-backed AI policy claims from 1 official source attribution, including 6 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 16, 2026. Discovery context: Novosibirsk State University is listed as QS 2026 rank =461.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Novosibirsk State University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 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/novosibirsk-state-university.json. The entity-level confidence is 92%. 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 AI tool treatment claims.
- Evidence includes Source status 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
Novosibirsk State University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Novosibirsk State University has 5 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
Novosibirsk State University has 5 source-backed public claims for exams; deterministic analysis status: blocked.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
Novosibirsk State University has 4 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
Novosibirsk State University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
Novosibirsk State University has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
Teaching guidance
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.
Research guidance
Novosibirsk State University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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
6 reviewed evidence-backed public claim
Academic Integrity
The Department of Cytology and Genetics page says students may not present materials wholly created by a generative model, or minimally technically corrected by the student, as their own work.
Review: Agent reviewed
Normalized value: department_level_no_ai_as_own_work
Evidence originale
Evidence 1Нельзя представлять материалы, полностью созданные генеративной моделью или с минимальными техническими исправлениями от студента, как свою собственную работу.
Affichage localise only
Materials fully generated by a generative model, or minimally corrected by the student, cannot be presented as the student's own work.
Academic Integrity
For final qualification work and other assignments covered by the Department of Cytology and Genetics page, students are obliged to verify generated content and disclose generative-model use in a methods section or declaration.
Review: Agent reviewed
Normalized value: department_level_disclosure_required
Evidence originale
Evidence 1студент обязан: проверять достоверность любого контента, сгенерированного моделью; указывать факт использования генеративных моделей в разделе «Материалы и методы» или «Декларации об использовании генеративных моделей».
Affichage localise only
The page says the student is obliged to verify model-generated content and state use of generative models in Materials and Methods or a declaration.
Academic Integrity
The Department of Cytology and Genetics page says students remain responsible for originality, accuracy, authorship of ideas, and academic honesty when using generative models.
Review: Agent reviewed
Normalized value: department_level_student_responsibility
Evidence originale
Evidence 1студенты должны соблюдать принятые в научной среде этические нормы, поэтому ответственны за оригинальность и точность предоставляемых результатов, авторство идей и академическую честность своей работы.
Affichage localise only
Students are responsible for originality, accuracy, authorship of ideas, and academic honesty.
Academic Integrity
The Department of Cytology and Genetics page says final qualification works undergo Antiplagiat checking, including automatic detection of generated text fragments, and that such fragments may be grounds for not admitting a student to defense.
Review: Agent reviewed
Normalized value: department_level_generated_text_detection_risk
Evidence originale
Evidence 1Тексты выпускных квалификационных работ проходят обязательную проверку в системе «Антиплагиат», в которой есть этап автоматического выявления сгенерированных фрагментов текста. Наличие таких фрагментов в ВКР может послужить основанием для недопуска студента к защите своей работы.
Affichage localise only
Final qualification works are checked in Antiplagiat, including automatic detection of generated text fragments; such fragments may be grounds for non-admission to defense.
Ai Tool Treatment
NSU's Department of Cytology and Genetics says generative models may be used in final qualification work for idea inspiration, preliminary drafts with later revision, learning help, and routine technical tasks.
Review: Agent reviewed
Normalized value: department_level_permitted_uses
Evidence originale
Evidence 1Допустимо использование генеративных моделей в следующих ситуациях: для идейного вдохновения (например, мозгового штурма направления для решения задачи); для создания предварительных черновиков (с обязательной последующей доработкой); для помощи в обучении
Affichage localise only
The department lists permitted uses including idea inspiration, preliminary drafts with later revision, and learning support.
Source Status
This staged crawl found department-level NSU AI-use rules, but did not find a central NSU-wide binding policy for generative AI use in official-source discovery.
Review: Agent reviewed
Normalized value: department_level_source_found_no_central_policy_found
Evidence originale
Evidence 1Кафедра цитологии и генетики НГУ. Правила использования генеративных моделей (искусственного интеллекта) при подготовке ВКР.
Affichage localise only
The source identifies itself as an NSU Department of Cytology and Genetics page and frames the rules around final qualification work.
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
Об использовании систем ИИ - Кафедра цитологии и генетики НГУ
cag.nsu.ru
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.