Policy presence
Peter the Great St. Petersburg Polytechnic University has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
St. Petersburg, Russia
Peter the Great St. Petersburg Polytechnic University
Peter the Great St. Petersburg Polytechnic University has 4 source-backed AI policy claims from 1 official source attribution. Review state: agent reviewed; 4 reviewed claims. Last checked May 17, 2026.
Peter the Great St. Petersburg Polytechnic University AI policy short answer
v1 public contract
Peter the Great St. Petersburg Polytechnic University has 4 source-backed AI policy claims from 1 official source attribution, 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 17, 2026.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Peter the Great St. Petersburg Polytechnic University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/peter-the-great-st-petersburg-polytechnic-university.json. The entity-level confidence is 93%. 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 AI tool treatment claims.
- No specific AI service name is highlighted by the current 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
Peter the Great St. Petersburg Polytechnic University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Peter the Great St. Petersburg Polytechnic University has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Peter the Great St. Petersburg Polytechnic University has 4 source-backed public claims for exams; deterministic analysis status: required.
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
Peter the Great St. Petersburg Polytechnic University has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Peter the Great St. Petersburg Polytechnic University has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
Peter the Great St. Petersburg Polytechnic University has 1 source-backed public claim for named ai services; deterministic analysis status: required.
Teaching guidance
Peter the Great St. Petersburg Polytechnic University 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
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
The SPbPU recommendations say employees, faculty, and students must identify results of their work where generative AI technologies were used and indicate the nature and scope of the AI-assisted work.
Review: Agent reviewed
Normalized value: disclosure of generative AI-assisted work results required
Original evidence
Evidence 1В целях соблюдения академических норм, работники, профессорско-преподавательский состав и обучающиеся СПбПУ обязаны выделять результаты своей деятельности, при реализации которой были использованы технологии генеративного ИИ, указывая характер и объем работ, выполненных с его помощью.
Localized display only
To comply with academic norms, SPbPU workers, faculty, and students must identify work results made using generative AI and indicate the nature and scope of work performed with it.
Academic Integrity
The SPbPU recommendations state that responsibility for the result of applying generative AI technologies in educational activity lies entirely with the person using them.
Review: Agent reviewed
Normalized value: user bears responsibility for result of generative AI use
Original evidence
Evidence 1Принцип ответственности за результат. Ответственность за результат применения технологий генеративного ИИ в образовательной деятельности всецело лежит на лице, их применяющем.
Localized display only
Responsibility for the result of applying generative AI technologies in educational activity lies entirely with the person applying them.
Teaching
SPbPU's 2025 AI-in-education recommendations state that they apply to employees and students in bachelor's, specialist, and master's programs, and that the contained requirements are mandatory for university institutes, higher schools, and other structural units.
Review: Agent reviewed
Normalized value: institutional recommendations apply to workers and selected degree-program students; requirements mandatory for institutes and structural units
Original evidence
Evidence 11.2. Действие Рекомендаций распространяется на работников и обучающихся по образовательным программам бакалавриата, специалитета и магистратуры. 1.3. Требования, содержащиеся в Рекомендациях, являются обязательными для применения институтами, высшими школами и иными структурными подразделениями Университета.
Localized display only
The recommendations apply to workers and bachelor/specialist/master's students; requirements in the recommendations are mandatory for institutes, higher schools, and other university structural units.
Ai Tool Treatment
SPbPU's recommendations allow use of generative AI tools and services that do not require VPN access, and also allow local models if safety principles are observed.
Review: Agent reviewed
Normalized value: generative AI tools permitted if no VPN required; local models permitted with safety principles
Original evidence
Evidence 1В СПбПУ допускаются к использованию инструменты и сервисы генеративного ИИ, не требующие подключения через VPN, также допускается использование локальных моделей при условии соблюдения принципов безопасности.
Localized display only
SPbPU allows generative AI tools and services that do not require a VPN connection, and allows local models if safety principles are observed.
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
1 source attribution
Приказ № 3159 от 01.11.2025: Рекомендации по применению технологии искусственного интеллекта в образовательной деятельности
open.spbstu.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.