Policy presence
Lomonosov Moscow State University has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Moscow, Russia
Lomonosov Moscow State University
Lomonosov Moscow State University is listed as QS 2026 rank =105. Lomonosov Moscow State University has 7 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Lomonosov Moscow State University is listed as QS 2026 rank =105. Lomonosov Moscow State University has 7 source-backed AI policy claim records from 5 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 Lomonosov Moscow State University as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 7 source-backed claims, including 7 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/lomonosov-moscow-state-university.json. The entity-level confidence is 95%. 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 Teaching claims.
- Evidence includes Source status claims.
- Evidence includes AI tool treatment 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.
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
Lomonosov Moscow State University has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Lomonosov Moscow State University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Lomonosov Moscow State University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
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
Lomonosov Moscow State University has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Lomonosov Moscow State University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
Lomonosov Moscow State University has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
Teaching guidance
Lomonosov Moscow State University has 5 source-backed public claims 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
7 reviewed evidence-backed public claim
Academic Integrity
Under the Economics Faculty rules, a student who uses AI tools for work must explicitly declare that use and identify the AI model, the parts of the work where AI was used, and the purposes and methods of use.
Review: Agent reviewed
Normalized value: economics_faculty_student_ai_declaration_required
Original evidence
Evidence 1Если студент использует инструменты ИИ при выполнении работы, то он должен явным образом это декларировать. Для декларирования использования ИИ должны быть указать: применяемая модель ИИ; части работы, в которых применялись инструменты ИИ; цели и способы применения ИИ.
Localized display only
Students using AI for work must explicitly declare it and identify the model, affected work parts, and purposes and methods of use.
Teaching
The Economics Faculty rules allow each teacher, within a discipline, to require detailed prompts or restrict AI-tool use up to a full ban, with restrictions recorded in the discipline's rating system and communicated by the first class.
Review: Agent reviewed
Normalized value: economics_faculty_course_level_ai_restrictions
Original evidence
Evidence 1преподаватель в рамках учебной дисциплины вправе: требовать предоставить не только ссылки на инструменты ИИ, но и детальные промпты; ограничить использование инструментов ИИ вплоть до полного запрета.
Localized display only
Within a discipline, the teacher may require detailed prompts or restrict AI-tool use up to a full ban.
Source Status
Lomonosov Moscow State University's Economics Faculty has Russian-language rules defining general conditions for use of generative AI tools by students and employees in the faculty's educational process.
Review: Agent reviewed
Normalized value: economics_faculty_ai_rules_scope
Original evidence
Evidence 1Настоящие Правила определяют общие условия использования инструментов генеративного искусственного интеллекта (далее — ИИ) студентами и работниками экономического факультета МГУ.
Localized display only
These Rules define general conditions for using generative AI tools by students and employees of the MSU Economics Faculty.
Academic Integrity
The Economics Faculty rules place responsibility on students for correctness of facts, wording, citations, links, and interpretation of AI-assisted results, and treat unchecked use of AI results as an academic-ethics violation.
Review: Agent reviewed
Normalized value: economics_faculty_student_responsibility_for_ai_outputs
Original evidence
Evidence 1Студент несет ответственность за корректность фактических данных, формулировок, цитат и ссылок, а также за интерпретацию результатов, полученных с использованием инструментов ИИ.
Localized display only
The student is responsible for correctness of facts, wording, citations, links, and interpretation of AI-assisted results.
Academic Integrity
The Economics Faculty rules state that violating AI-tool rules is an academic-ethics violation; if improper AI use without real mastery is found, a teacher may annul the work result and report the violation to faculty administration.
Review: Agent reviewed
Normalized value: economics_faculty_ai_violation_academic_ethics
Original evidence
Evidence 1Нарушение правил применения инструментов ИИ является нарушением академической этики. При выявлении некорректного применения ИИ без реального освоения материала студентом преподаватель вправе аннулировать результаты работы.
Localized display only
Violation of AI-tool rules is an academic-ethics violation; improper AI use without real mastery may allow the teacher to annul the work result.
Ai Tool Treatment
The Economics Faculty rules say AI-tool use is permitted by default and that the faculty supports effective, ethical, and transparent AI use for course work, term papers, and final qualification works.
Review: Agent reviewed
Normalized value: economics_faculty_ai_default_permitted
Original evidence
Evidence 1По умолчанию разрешено использование инструментов ИИ. Экономический факультет МГУ поддерживает студентов и работников в их эффективном, этичном и прозрачном использовании инструментов ИИ.
Localized display only
AI tool use is permitted by default; the faculty supports effective, ethical, and transparent AI use.
Teaching
The Economics Faculty rules require teachers who use AI tools when creating materials or other work to explicitly declare that use, including the AI model, work parts, and purposes and methods of use.
Review: Agent reviewed
Normalized value: economics_faculty_teacher_ai_disclosure_required
Original evidence
Evidence 1Если преподаватель использует инструменты ИИ при выполнении работы (создании материалов и др.), то он должен явным образом это декларировать.
Localized display only
A teacher who uses AI tools when creating materials or other work must explicitly declare that use.
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
5 source attribution
ИИ в образовании
econ.msu.ru
ИИ в образовании: преподавателям
econ.msu.ru
МГУ поддерживает внедрение ИИ в образовательные процессы
msu.ru
Правила применения инструментов искусственного интеллекта в учебном процессе на экономическом факультете МГУ
econ.msu.ru
Студентам
econ.msu.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.