Policy presence
RUDN University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Moscow, Russia
RUDN University
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
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.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
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
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