Policy presence
HSE University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Moscow, Russia
HSE University
HSE University has 4 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 16, 2026.
HSE University AI policy short answer
v1 public contract
HSE University has 4 source-backed AI policy claims from 3 official source attributions, including 4 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 16, 2026. Discovery context: HSE University is listed as QS 2026 rank =440.
Citation-ready summary
As of this public record, University AI Policy Tracker lists HSE 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 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/hse-university.json. The entity-level confidence is 96%. 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 AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Source status 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.
- Teaching, assessment, coursework, or syllabus-related 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
HSE University has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
HSE University has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
HSE University has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
HSE University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
HSE University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
HSE University has 1 source-backed public claim for approved tools; deterministic analysis status: blocked.
Named AI services
HSE University has 1 source-backed public claim for named ai services; deterministic analysis status: blocked.
Teaching guidance
HSE University has 1 source-backed public claim 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
4 reviewed evidence-backed public claim
Academic Integrity
HSE University requires students to disclose use of generative AI in written academic work, including the parts prepared with AI, the purpose and method of use, model name or source, and an effectiveness evaluation.
Review: Agent reviewed
Normalized value: disclosure_required
原始证据
Evidence 1Студент (или группа студентов) обязаны сопроводить письменное задание специальным разделом «Описание применения генеративной модели», где обозначить ... части текста ... цели и способ применения ... ее название, адреса сайта ... оценку эффективности
本地化显示 only
Students must include a dedicated generative-model-use description covering generated parts, purpose/method, model name/source, and effectiveness.
Ai Tool Treatment
HSE University states that there is no university-wide prohibition on student use of AI, and students may use generative models in academic work when they follow disclosure requirements.
Review: Agent reviewed
Normalized value: allowed_with_disclosure
原始证据
Evidence 1В НИУ ВШЭ нет общеуниверситетского запрета на использование искусственного интеллекта (ИИ) студентами — они могут использовать технологии генеративных моделей ... в процессе выполнения учебных работ
本地化显示 only
HSE says there is no university-wide ban on student AI use and students may use generative models in academic work.
Teaching
HSE University says an instructor may prohibit the use of generative models during assessment elements if the prohibition is stated in the course syllabus.
Review: Agent reviewed
Normalized value: instructor_may_prohibit_in_syllabus
原始证据
Evidence 1Преподаватель может запретить использование генеративных моделей во время проведения элементов контроля — в таком случае, он указывает это в программе учебной дисциплины (ПУД).
本地化显示 only
An instructor may prohibit generative-model use for assessment elements by stating that in the course syllabus.
Source Status
HSE University has an official university-scope regulation page for checking written student work for plagiarism and generative-model use; the page identifies the regulation as adopted on May 8, 2024, effective May 13, 2024, and indefinite.
Review: Agent reviewed
Normalized value: official_regulation_page_found
原始证据
Evidence 1Вид:регламентДата принятия:8.05.2024Вступил в силу:13.05.2024 Срок действия:Бессрочный документ ... Область действия:Университет
本地化显示 only
The official document page identifies this as a university-scope regulation, adopted May 8, 2024, effective May 13, 2024, and indefinite.
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
3 source attribution
HSE University's Policy on Artificial Intelligence Use in Student Works
hse.ru
Правила использования искусственного интеллекта студентами НИУ ВШЭ
hse.ru
Регламент организации проверки письменных учебных работ на наличие плагиата, использования генеративных моделей и размещения выпускных квалификационных работ
hse.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.