Policy presence
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Moscow, Russia
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
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
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) has 2 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) has 2 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
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
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) has 2 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
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) has 2 source-backed public claims for security and procurement; deterministic analysis status: required.
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
2 reviewed evidence-backed public claim
Teaching
MEPhI lists a 2026 professional-development programme for school teachers and education administrators on AI tools, lesson-material creation, checking assignments, detecting signs of AI use, and legal foundations of AI use.
Review: Agent reviewed
Normalized value: ai professional development for school teachers and administrators
Original evidence
Evidence 1Вы научитесь использовать различные инструменты ИИ, такие как DeepSeek, Qwen.ai, Алиса, GigaChat, Kandinsky, Mega.Space, 300.ya.ru, Riverside для подготовки уроков, презентаций, тестов, проверки домашних заданий и др. Кроме того, будут рассмотрены правовые основы использования ИИ.
Localized display only
The programme says participants will learn to use AI tools for lesson preparation, presentations, tests and homework checking, and that legal foundations of AI use will be considered.
Teaching
In an official April 2026 MEPhI news item, Rector Vladimir Shevchenko framed generative AI as a challenge to text- and code-based assessment and pointed to personal professor-student communication as a response; this is rector commentary, not a binding university policy.
Review: Agent reviewed
Normalized value: official rector commentary on AI and assessment
Original evidence
Evidence 1Отдельно ректор остановился на кризисе систем контроля знаний. По его словам, домашние эссе и написание кода как формы проверки «умерли»: нейросети делают это быстрее и качественнее, пусть и без понимания того, чем занимаются. Выход Владимир Шевченко видит в возврате к личной коммуникации профессора и студента
Localized display only
The rector said homework essays and coding as checks of knowledge have 'died' because neural networks can do them faster and better, and he saw the way out in personal professor-student communication.
Candidate claims
0 machine or needs-review claim
Official sources
2 source attribution
Владимир Шевченко: «Мы не должны оценивать тексты, мы должны оценивать ученика»
mephi.ru
Искусственный интеллект в помощь школьному учителю
new-site-2023.mephi.ru