Policy presence
University of Warsaw has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Warsaw, Poland
University of Warsaw
University of Warsaw is listed as QS 2026 rank 271. University of Warsaw has 3 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Warsaw is listed as QS 2026 rank 271. University of Warsaw has 3 source-backed AI policy claim records from 2 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 University of Warsaw 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 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-warsaw.json. The entity-level confidence is 90%. 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.
- No specific AI service name is highlighted by the current 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
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
University of Warsaw has 2 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Warsaw has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Warsaw has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Warsaw has 2 source-backed public claims 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
University of Warsaw 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
3 reviewed evidence-backed public claim
Academic Integrity
University of Warsaw URK guidance says AI-system use in diploma work requires agreement between the supervisor and student, including scope and methods of use; written exams may not use AI systems unless exam instructions specify how they may be used.
Review: Agent reviewed
Normalized value: ai_use_requires_supervisor_agreement_for_diploma_work_and_is_not_allowed_in_written_exams_unless_exam_instructions_allow_it
Original evidence
Evidence 1W przypadku prac dyplomowych podstawową regułę stanowi zasada, zgodnie z którą wykorzystanie systemów SI w przygotowaniu pracy wymaga uzgodnienia między opiekunem pracy dyplomowej i studentem... Ponadto za niedopuszczalne zostało uznane korzystanie z systemów SI podczas egzaminów pisemnych, chyba że polecenia egzaminacyjne lub treści zadań egzaminacyjnych określają sposób korzystania z systemów SI.
Localized display only
For diploma work, AI-system use requires agreement between the supervisor and student; use of AI systems in written exams is considered impermissible unless the exam instructions specify how AI may be used.
Teaching
University of Warsaw URK guidance recommends that academic teachers and other instructors consider using AI systems in education and encourages training on AI-system use in academic teaching.
Review: Agent reviewed
Normalized value: teachers_are_recommended_to_consider_ai_system_use_and_training
Original evidence
Evidence 1Uchwała zawiera także rekomendację, aby nauczyciele akademiccy i inni prowadzący zajęcia rozważyli wykorzystanie systemów SI w procesie kształcenia... a także zachęca do organizacji i regularnego udziału w szkoleniach dotyczących wykorzystania systemów SI w procesie kształcenia akademickiego.
Localized display only
The resolution recommends that academic teachers and other instructors consider using AI systems in education and encourages organizing and regularly attending training on AI-system use in academic teaching.
Academic Integrity
For University of Warsaw American Studies Center students, ASC academic-integrity guidance says using generative AI tools to generate content and submitting it as one's own work is prohibited, and students should follow the course syllabus or ask instructors about permitted use.
Review: Agent reviewed
Normalized value: asc_scope_generative_ai_content_as_own_work_prohibited_and_course_syllabus_controls_use
Original evidence
Evidence 1It is important to remember that using GAITs to generate content and submitting it as your own work is prohibited. Your instructors will offer more specific guidelines on the appropriate use of such tools... ASC students should always consult the course syllabus for information about the scope and limitations of GAITs in a given course.
Localized display only
ASC tells students that generating content with GAITs and submitting it as their own work is prohibited, and that course syllabi and instructors govern permitted use.
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
2 source attribution
Academic Integrity
asc.uw.edu.pl
Wytyczne dotyczące korzystania z narzędzi sztucznej inteligencji w procesie kształcenia
urk.uw.edu.pl
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.