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
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
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.
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
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
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