Policy presence
University of Szeged has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Szeged, Hungary
University of Szeged
University of Szeged has 6 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 17, 2026.
University of Szeged AI policy short answer
v1 public contract
University of Szeged has 6 source-backed AI policy claims from 3 official source attributions, including 6 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. Discovery context: University of Szeged is listed as QS 2026 rank =597.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Szeged as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 6 source-backed claims, including 6 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/university-of-szeged.json. The entity-level confidence is 92%. 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 Privacy claims.
- Evidence includes Source status claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
- Privacy, sensitive-data, or security 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
University of Szeged has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
University of Szeged has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Szeged has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Szeged has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Szeged has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
University of Szeged has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
Named AI services
University of Szeged has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Szeged has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Szeged has 1 source-backed public claim 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
6 reviewed evidence-backed public claim
Academic Integrity
University of Szeged student guidance says students using AI for assignments or other coursework must disclose the AI tool, purpose, method, and extent of use.
Review: Agent reviewed
Normalized value: ai_use_disclosure_required
Original evidence
Evidence 1Amennyiben MI-t használ egy beadandó, dolgozat, prezentáció vagy más tantárgyi munka elkészítése során, kötelező feltüntetni: melyik MI-eszközt alkalmazta, milyen célra és módon használta, milyen mértékben segítette a munkát.
Localized display only
If AI is used for an assignment, paper, presentation, or other coursework, the guide says the tool, purpose and mode of use, and extent of assistance must be indicated.
Academic Integrity
University of Szeged student guidance says AI may be used as an auxiliary tool but cannot replace students' own work; submitting an entirely AI-made work as one's own is treated as a serious academic ethics violation.
Review: Agent reviewed
Normalized value: ai_cannot_replace_own_work
Original evidence
Evidence 1Az MI segédeszközként használható – például forráskutatásra –, de nem helyettesítheti a saját munkát. A generatív tartalom (pl. automatikus szövegírás) csak akkor alkalmazható, ha az kifejezetten meg van engedve a kurzusban. Ne adja be saját nevében azt a munkát, amit teljes egészében mesterséges intelligencia készített – ez a tudományos etika súlyos megsértése, és akár fegyelmi következményekkel is járhat.
Localized display only
The student guide says AI may be an auxiliary tool, but does not replace students' own work; generative content is only usable where expressly allowed in the course, and wholly AI-made work must not be submitted as one's own.
Privacy
University of Szeged student guidance warns users not to enter sensitive, personal, or institutionally confidential data into AI systems.
Review: Agent reviewed
Normalized value: avoid_sensitive_confidential_data
Original evidence
Evidence 1Az MI-rendszerek gyakran rögzítik a felhasználók által bevitt kérdéseket, megjegyzéseket és egyéb adatokat. Ezeket az információkat a fejlesztők saját céljaikra – például további modellfejlesztésre vagy szolgáltatásfejlesztésre – felhasználhatják, ezért különösen fontos, hogy érzékeny, személyes vagy intézményi szempontból bizalmas adatokat ne adjunk meg egyetlen ilyen rendszerben sem.
Localized display only
The guide says AI systems often record user inputs and may reuse them, so sensitive, personal, or institutionally confidential data should not be entered into such systems.
Source Status
University of Szeged has an official 2025 framework for regulated and transparent AI use in education, with guidance published for instructors and students.
Review: Agent reviewed
Normalized value: official_guidance_found
Original evidence
Evidence 12025 júniusában a Szegedi Tudományegyetem Tanulmányi és Vizsgaszabályzata a mesterséges intelligencia használatával kapcsolatos ponttal egészült ki: „A Szegedi Tudományegyetem támogatja a mesterséges intelligencia szabályozott és átlátható alkalmazását az oktatásban és a hallgatói feladatok ellátásában, és annak intézményi elfogadott kereteit útmutatóban teszi közzé az oktatók és a hallgatók számára.”
Localized display only
In June 2025, SZTE added AI-use language to its Study and Examination Regulations and said it publishes accepted institutional frameworks in guides for instructors and students.
Teaching
University of Szeged instructor guidance describes three course models for AI use: full prohibition, partial permission for specified tasks, and full permission with disclosure.
Review: Agent reviewed
Normalized value: three_course_ai_models
Original evidence
Evidence 1Az MI beépítésének mértéke kurzusonként eltérő lehet. Az oktató dönthet az alábbi lehetőségek között: Teljes tiltás – Az MI használata nem engedélyezett ... Részleges engedélyezés – Az MI alkalmazása csak meghatározott feladatok esetén megengedett ... Teljes körű engedélyezés – Az MI használata a kurzus minden részében megengedett, azonban a hallgatóknak mindig fel kell tüntetniük, hogy melyik eszközt, milyen módon és milyen mértékben vették igénybe.
Localized display only
The instructor guide describes three course models: no AI use, partial permission for specified tasks, and full permission with disclosure of tool, method, and extent.
Teaching
University of Szeged guidance says course-level AI-use conditions are defined through course descriptions, CooSpace, requirements, and instructor communication, and may vary by course.
Review: Agent reviewed
Normalized value: course_level_rules
Original evidence
Evidence 1Mielőtt mesterséges intelligenciát használna egy tantárgy keretében, mindenképp ellenőrizze, hogy az adott kurzus engedélyezi-e az MI-eszközök alkalmazását. Ezt elsősorban a kurzusleírásban találja meg (CooSpace felület, tematika, követelményrendszer).
Localized display only
Before using AI in a course, students should check whether the course permits AI tools; this is primarily found in the course description, CooSpace surface, syllabus, and requirements.
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
„Szabályozott és átlátható” – mit jelent mesterséges intelligencia oktatási szabályozása az SZTE-n?
u-szeged.hu
A mesterséges intelligencia elfogadható és felelős használata a Szegedi Tudományegyetemen
u-szeged.hu
Útmutató a Szegedi Tudományegyetem oktatóinak a generatív mesterséges intelligencia tudatos integrálásához az oktatásban
u-szeged.hu
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.
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