Policy presence
RUDN University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Moscow, Russia
RUDN University
RUDN University is listed as QS 2026 rank =367. RUDN University has 4 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
RUDN University is listed as QS 2026 rank =367. RUDN University has 4 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists RUDN University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 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/rudn-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.
Policy signals in this record
- Evidence includes Research claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching 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
RUDN University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
RUDN University has 1 source-backed public claim for coursework; deterministic analysis status: recommended.
Exams
RUDN University has 1 source-backed public claim for exams; deterministic analysis status: recommended.
Privacy and data entry
RUDN University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
RUDN University has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
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
RUDN University has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
RUDN University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
RUDN University has 3 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
Research
The RUDN Journal of Informatization in Education editorial AI policy requires authors to disclose AI-tool use during manuscript preparation, including text generation, data work, translation or editing, literature-search or reference-list work, and creation or processing of media.
Review: Agent reviewed
Normalized value: journal_editorial_ai_disclosure_required
Original evidence
Evidence 1Authors are required to clearly and thoroughly disclose the use of AI tools at all stages of manuscript preparation, including: text generation; data preparation or verification; translation, paraphrasing, or editing of text; literature search or compilation of reference lists; creation or processing of images, graphs, charts, audio, and video materials.
Research
The RUDN Journal of Informatization in Education editorial AI policy prohibits editors from using AI to make manuscript decisions; rejecting, accepting, or returning a manuscript for revision must rest with a human editor.
Review: Agent reviewed
Normalized value: journal_editorial_decision_ai_prohibited
Original evidence
Evidence 1AI may not make decisions about rejecting, accepting, or sending back a manuscript for revision. These decisions must always rest with a human editor.
Privacy
The RUDN Journal of Informatization in Education editorial AI policy says reviewers should not enter manuscript content into publicly available or cloud-based AI services without explicit editor permission and compliance with confidentiality rules.
Review: Agent reviewed
Normalized value: journal_reviewer_ai_confidentiality_restriction
Original evidence
Evidence 1No manuscript content (text, data, figures, tables, requested supplementary materials) should be entered into publicly available or cloud-based AI services without explicit permission from the editors and compliance with confidentiality rules.
Teaching
A RUDN Digital Literacy course program for the Ecology and Natural Resource Management bachelor's program includes generative AI tools, responsible AI use, authorship and originality, academic honesty, and practice with large language models as course topics.
Review: Agent reviewed
Normalized value: course_program_includes_genai_responsible_use_topics
Original evidence
Evidence 1Генеративный ИИ: большие языковые модели (ChatGPT, GigaChat, YandexGPT и др.), генерация изображений, аудио и видео. Этические вопросы применения ИИ: предвзятость алгоритмов, галлюцинации моделей, авторство и оригинальность, академическая честность.
Localized display only
Generative AI: large language models; ethical issues of AI use, including bias, hallucinations, authorship and originality, and academic honesty.
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
Editorial Policies - RUDN Journal of Informatization in Education
journals.rudn.ru
Рабочая программа дисциплины: Цифровая грамотность, 05.03.06 Экология и природопользование
rudn.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.