Policy presence
Gazi Üniversitesi has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Ankara, Türkiye
Gazi Üniversitesi
Gazi Üniversitesi has 6 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 21, 2026.
Gazi Üniversitesi AI policy short answer
v1 public contract
Gazi Üniversitesi has 6 source-backed AI policy claims from 2 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 21, 2026. Discovery context: Gazi Üniversitesi is listed as QS 2026 rank 901-950.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Gazi Üniversitesi as an agent-reviewed AI policy record last checked on May 21, 2026 and last changed on May 21, 2026. The record contains 6 source-backed claims, including 6 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/gazi-universitesi.json. The entity-level confidence is 94%. 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 Other policy claims.
- Evidence includes Teaching claims.
- Evidence includes Privacy 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.
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
Gazi Üniversitesi has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Gazi Üniversitesi has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Gazi Üniversitesi has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Gazi Üniversitesi has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
Academic integrity
Gazi Üniversitesi has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
Gazi Üniversitesi has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
Gazi Üniversitesi has 1 source-backed public claim for named ai services; deterministic analysis status: recommended.
Teaching guidance
Gazi Üniversitesi 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
6 reviewed evidence-backed public claim
Academic Integrity
Gazi Üniversitesi's generative AI guide says that if generative AI tools or systems are used in work such as assignments, reports, projects, or theses, that use is declared appropriately in the documents.
Review: Agent reviewed
Normalized value: generative_ai_use_disclosure_required_in_academic_work
Original evidence
Evidence 1Açıklama Yükümlülüğü: ÜYZ araç veya sistemleri, gerçekleştirilen çalışmalarda (ödev, rapor, proje, tez vb.) kullanılmış ise bu durum dokümanlarda uygun bir şekilde ve yerde beyan edilir.
Localized display only
The guide says AI use in assignments, reports, projects, theses, and similar work is declared appropriately in the document.
Academic Integrity
Gazi Üniversitesi's generative AI guide treats cheating, plagiarism, and similar conduct using generative AI tools or systems as academic fraud and says users stay away from such conduct.
Review: Agent reviewed
Normalized value: generative_ai_cheating_plagiarism_academic_fraud
Original evidence
Evidence 1Akademik Dürüstlük: ÜYZ araç veya sistemleri kullanılarak kopya çekmek, intihal vb. davranışlar akademik sahtekarlık olarak değerlendirildiğinden, bu tür davranışlardan uzak durulur.
Localized display only
The guide treats cheating, plagiarism, and similar conduct using generative AI tools or systems as academic fraud.
Other
Gazi Üniversitesi states that its generative AI ethics and recommendations guide covers ethical principles and recommendations for academic staff, administrative staff, and students using generative AI.
Review: Agent reviewed
Normalized value: generative_ai_guide_scope_staff_students
Original evidence
Evidence 1Gazi Üniversitesi akademik ve idari personeli ile öğrencilerinin Üretken Yapay Zekâ (ÜYZ) kullanımında dikkat etmeleri gereken etik ilkeleri ve önerileri içerir.
Localized display only
The guide says it contains ethical principles and recommendations for Gazi academic staff, administrative staff, and students using generative AI.
Teaching
Gazi Üniversitesi's generative AI guide says generative AI tools or systems may be used as an additional source for generating and developing ideas and understanding, but not as a replacement for assessment or original work.
Review: Agent reviewed
Normalized value: generative_ai_additional_source_not_original_work_replacement
Original evidence
Evidence 1Eleştirel Düşünme: ÜYZ araç veya sistemleri, fikir üretme, geliştirme ve kavramada ek kaynak olarak kullanılabilir, ancak değerlendirme ve özgün çalışma (ödev, rapor, proje, tez vb.) yerine kullanılamaz.
Localized display only
The guide allows generative AI as an additional source for ideation and understanding, but not in place of assessment or original work.
Privacy
Gazi Üniversitesi's generative AI guide recommends that users not enter personal and important institutional data into generative AI systems because data disclosure may occur.
Review: Agent reviewed
Normalized value: do_not_enter_personal_or_important_institutional_data
Original evidence
Evidence 1Bilinçli Kullanım: ÜYZ’nin sunduğu fırsatları ve tehditleri anlamak için kullanıcılar, Yapay Zeka Okuryazarı olarak kendilerini yetiştirmelidir. Örneğin; veri ifşası olabileceği için kişisel ve önemli kurumsal veriler bu sistemlere girilmemelidir.
Localized display only
The guide recommends not entering personal and important institutional data into these systems due to possible data disclosure.
Academic Integrity
Gazi Üniversitesi Yabancı Diller Yüksekokulu's 2025-2026 handbook defines presenting work that is not the student's own through AI assistance as academic fraud, and tells students to use AI applications within the framework set by the instructor or university.
Review: Agent reviewed
Normalized value: ydyo_ai_assisted_non_own_work_academic_fraud
Original evidence
Evidence 1Akademik sahtekârlık; ... yapay zeka yardımıyla öğrencinin kendi ürünü olmayan bir çalışmayı kendisininmiş gibi sunması ... anlamına gelmektedir. ... Yapay zekâ uygulamalarını dersin öğretim elemanının ya da üniversitenin belirlemiş olduğu çerçevede kullandığınızdan emin olun.
Localized display only
The YDYO handbook treats submitting non-own work through AI assistance as academic fraud and tells students to use AI within the instructor or university framework.
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
Gazi Üniversitesi Üretken Yapay Zekâ Araçlarının Kullanımına İlişkin Etik İlkeler ve Öneriler Rehberi
aicenter.gazi.edu.tr
Gazi Üniversitesi Yabancı Diller Yüksekokulu Öğretme ve Öğrenme El Kitabı 2025-2026
webupload.gazi.edu.tr
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.