Moscow, Russia

National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)

National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) has 2 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 2 reviewed claims. Last checked May 17, 2026.

National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) AI policy short answer

v1 public contract

National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) 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 17, 2026. Discovery context: National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) is listed as QS 2026 rank =591.

Citation-ready summary

As of this public record, University AI Policy Tracker lists National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 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/national-research-nuclear-university-mephi-moscow-engineering-physics-institute.json. The entity-level confidence is 82%. 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.
  • No specific AI service name is highlighted by the current public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims2Reviewed2Candidate0Official sources2

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.

Coverage score60/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence67%

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.

Policy presence

National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence65%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

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 reviewedConfidence82%

Normalized value: ai professional development for school teachers and administrators

Original evidence

Evidence 1
Вы 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 reviewedConfidence76%

Normalized value: official rector commentary on AI and assessment

Original evidence

Evidence 1
Отдельно 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

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

Владимир Шевченко: «Мы не должны оценивать тексты, мы должны оценивать ученика»

mephi.ru

Snapshot hash
21ac35dfecbfe5061564aace9e7a52a2cebf963409b73a7d451551882683cee0

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.

Last checkedMay 17, 2026Last changedMay 17, 2026Open change log

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.

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