Policy presence
Tomsk State University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Tomsk, Russia
Tomsk State University is listed as QS 2026 rank =499. Tomsk State University has 4 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.
v1 public contract
Tomsk State University is listed as QS 2026 rank =499. Tomsk State University has 4 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.
As of this public record, University AI Policy Tracker lists Tomsk State 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 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/tomsk-state-university.json. The entity-level confidence is 86%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
Tomsk State University has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
Tomsk State University has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Tomsk State University has 3 source-backed public claims for exams; deterministic analysis status: restricted.
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.
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.
Tomsk State University has 3 source-backed public claims for approved tools; deterministic analysis status: allowed.
Tomsk State University has 2 source-backed public claims for named ai services; deterministic analysis status: unclear.
Tomsk State University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Tomsk State University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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.
4 reviewed evidence-backed public claim
Source Status
Normalized value: official_ai_policy_announcement
Original evidence
Evidence 1Политику использования ИИ в образовательном процессе ТГУ разработали сотрудники Центра науки и этики ТГУ и Сибирского (Томского) центра изучения искусственного интеллекта. Утвердил положения документа Ученый совет университета.
Localized display only
TSU says its Center for Science and Ethics and Siberian Center for AI developed the AI-use policy for education, and the university Academic Council approved the document provisions.
Ai Tool Treatment
Normalized value: policy_scope_participants_in_education
Original evidence
Evidence 1Политика использования ИИ адресована всем участникам образовательного процесса. Это и студенты, и профессорско-преподавательский состав, и административно-управленческий персонал, а также третьи лица, которые связаны с образовательной деятельностью университета.
Localized display only
The announcement says the AI-use policy is addressed to all participants in the educational process, including students, teaching staff, administrative staff, and third parties connected with university educational activity.
Ai Tool Treatment
Normalized value: ai_use_quality_support_not_replacement
Original evidence
Evidence 1Здесь идея не в том, чтобы запретить или ограничить, а в том, чтобы выработать механизмы применения систем ИИ в образовательном процессе так, чтобы они способствовали повышению качества образовательного результата, а не подменяли его.
Localized display only
The TSU announcement says the idea is not prohibition or restriction, but mechanisms for using AI systems in education so they improve educational quality rather than replace it.
Teaching
Normalized value: teacher_genai_training_context
Original evidence
Evidence 1Еще одним планируемым результатом наших исследований должна стать разработка модели компетентности преподавателя, содержащая перечень важных навыков применения генеративного искусственного интеллекта. На основе этой модели мы подготовили программу обучения для сотрудников.
Localized display only
In an official TSU interview, a distance-education institute staff member describes a planned teacher-competency model for generative AI and a staff training program based on it.
Original evidence
Evidence 2An accelerated development program for AI competency in educators, focused on generative artificial intelligence.
Localized display only
The rector's official English page lists an accelerated AI competency program for educators focused on generative AI.
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.
3 source attribution
en-news.tsu.ru
news.tsu.ru
news.tsu.ru
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 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.