Policy presence
Saint Petersburg State University has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Saint Petersburg, Russia
Saint Petersburg State University
Saint Petersburg State University is listed as QS 2026 rank =375. Saint Petersburg State University has 3 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Saint Petersburg State University is listed as QS 2026 rank =375. Saint Petersburg State University has 3 source-backed AI policy claim records from 3 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 Saint Petersburg State University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 3 source-backed claims, including 3 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/saint-petersburg-state-university.json. The entity-level confidence is 84%. 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.
- Evidence includes Research 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
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
Saint Petersburg State University has 2 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Saint Petersburg State University has 2 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Saint Petersburg State University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Saint Petersburg State University has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.
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
Saint Petersburg State University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Saint Petersburg State University has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
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
3 reviewed evidence-backed public claim
Teaching
SPbU's online course for teachers frames AI as affecting teaching, learning, and research and covers practical use of neural networks, prompt work, AI limitations, copyright, academic integrity, and SPbU's approach to legal and ethical restrictions.
Review: Agent reviewed
Normalized value: source_scoped_teaching_guidance_course
Original evidence
Evidence 1Искусственный интеллект уже не будущее — это наше настоящее. Он трансформирует образование: меняет подходы к обучению, преподаванию и исследованиям. ... Этические дилеммы: проблемы авторского права и академической честности.
Localized display only
The course says AI is transforming education and includes ethical dilemmas, copyright, and academic integrity.
Teaching
The SPbU AI and Data Science Center offers continuing-education programs that include large language models, generative AI, prompt engineering, work with LLM-based tools, AI project management, and legal regulation of digital technologies.
Review: Agent reviewed
Normalized value: source_scoped_ai_center_training
Original evidence
Evidence 1Центр искусственного интеллекта и науки о данных СПбГУ предлагает современные и практико-ориентированные программы повышения квалификации... Вы узнаете ... современные тренды в ИИ, включая большие языковые модели (LLM) и генеративный ИИ.
Localized display only
The SPbU AI Center page describes continuing-education programs including LLMs and generative AI.
Research
An official SPbU news item reports that SPbU researchers co-authored a methodology and structured scale for evaluating university teachers' generative-AI literacy across teaching, research, organizational-methodological work, educational-material development, professional development, and consulting.
Review: Agent reviewed
Normalized value: source_scoped_genai_literacy_research
Original evidence
Evidence 1Ученые предложили методологию и структурированную шкалу оценки цифровой грамотности преподавателей, которая позволяет системно измерить готовность педагогов использовать генеративный искусственный интеллект в шести ключевых областях...
Localized display only
SPbU reports a methodology for measuring faculty readiness to use generative AI across six areas.
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
В СПбГУ разработали метод оценки цифровой грамотности преподавателей в сфере искусственного интеллекта
spbu.ru
ИИ для преподавателей: инновационные технологии в образовании | Онлайн-курсы СПбГУ
online.spbu.ru
Страница Обучение - Центр ИИ СПбГУ
aicenter.spbu.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.