Policy presence
Far Eastern Federal University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Vladivostok, Russia
Far Eastern Federal University
Far Eastern Federal University has 2 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 2 reviewed claims. Last checked May 18, 2026.
Far Eastern Federal University AI policy short answer
v1 public contract
Far Eastern Federal University has 2 source-backed AI policy claims from 2 official source attributions, including 2 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: Far Eastern Federal University is listed as QS 2026 rank 731-740.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Far Eastern Federal University as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 2 source-backed claims, including 2 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/far-eastern-federal-university.json. The entity-level confidence is 86%. 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 Teaching claims.
- Named AI services detected in public claims: ChatGPT.
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
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Far Eastern Federal University has 2 source-backed public claims for coursework; deterministic analysis status: allowed.
Exams
Far Eastern Federal University has 2 source-backed public claims for exams; deterministic analysis status: allowed.
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
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
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.
Named AI services
Far Eastern Federal University has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
Teaching guidance
Far Eastern Federal University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Far Eastern Federal 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
2 reviewed evidence-backed public claim
Teaching
Far Eastern Federal University's official continuing education site lists a professional-development program for teachers on artificial intelligence in teaching, with topics covering AI in education, AI tools for course and content design, AI as a research-work tool, and ethics and risks including countering academic fraud using AI.
Review: Agent reviewed
Normalized value: teacher_professional_development_ai_tools_ethics_risks
Original evidence
Evidence 1Программа повышения квалификации. Искусственный интеллект в профессиональной деятельности преподавателя: инструменты и стратегии. Тема 1. Искусственный интеллект в образовании. Тема 2. Инструменты ИИ в преподавании. Тема 3. Искусственный интеллект как инструмент научной работы преподавателя. Тема 4. Этика и риски использования ИИ. Этические аспекты использования ИИ в образовании. Противодействие академическому мошенничеству с использованием ИИ.
Localized display only
The official FEFU continuing education page describes a teacher professional-development program on AI in teaching, including AI in education, AI teaching tools, AI for research work, and ethics/risks including countering academic fraud with AI.
Teaching
Far Eastern Federal University's official continuing education site lists a 2025 artificial-intelligence course available only to FEFU staff and students, with topics including large language models, ChatGPT/Qwen/YandexGPT comparison, prompting, AI ethics and policy of AI use, hallucinations, AI-generated text identification, and local language models.
Review: Agent reviewed
Normalized value: staff_student_ai_course_llms_prompting_ethics_local_models
Original evidence
Evidence 1Программа повышения квалификации. Искусственный интеллект в повседневной жизни и профессиональной деятельности. Уважаемые слушатели, в 2025 году программа доступна только для сотрудников и студентов ДВФУ. Сравнение возможностей ChatGPT, Qwen, YandexGPT и узкоспециализированных нейросетевых сервисов. Основы промптинга. Этика и политика использования ИИ: правила, риски и ограничения. Галлюцинации ИИ и как с ними бороться. Как определить, что текст написан ИИ. Запуск и настройка локальной языковой модели.
Localized display only
The official FEFU continuing education page says the 2025 course is available only to FEFU staff and students and covers LLMs, ChatGPT/Qwen/YandexGPT comparison, prompting, AI ethics and policy, hallucinations, AI-generated text identification, and local language models.
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
Искусственный интеллект в повседневной жизни и профессиональной деятельности
dpo.dvfu.ru
Искусственный интеллект в профессиональной деятельности преподавателя: инструменты и стратегии
dpo.dvfu.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.