Istanbul, Türkiye

Istanbul University

Istanbul University has 5 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 17, 2026.

Istanbul University AI policy short answer

v1 public contract

Istanbul University has 5 source-backed AI policy claims from 3 official source attributions, including 5 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: Istanbul University is listed as QS 2026 rank =628.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Istanbul University as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 5 source-backed claims, including 5 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/istanbul-university.json. The entity-level confidence is 93%. 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.

Claim coverage5 reviewedSource languagetrPublic JSON/api/public/v1/universities/istanbul-university.json

Policy signals in this record

  • Evidence includes Research claims.
  • Evidence includes Privacy claims.
  • Evidence includes AI tool treatment 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official sources3

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.

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence76%

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

Istanbul University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Academic integrity

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Research guidance

Istanbul University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

5 reviewed evidence-backed public claim

Research

Istanbul University Press policy says no AI tool can be listed as an author in a scientific work.

Review: Agent reviewedConfidence93%

Normalized value: iupress-ai-tools-not-authors

Original evidence

Evidence 1
Hiçbir Yapay Zeka aracı hiçbir bilimsel çalışmada yazar olarak listelenemez.

Localized display only

No AI tool can be listed as an author in any scientific work.

Privacy

Istanbul University Press policy says reviewers and editors cannot upload submitted work, in whole or in part, to a generative AI application.

Review: Agent reviewedConfidence92%

Normalized value: iupress-reviewer-editor-no-genai-upload

Original evidence

Evidence 1
Hakemler ve editörler gönderilen çalışmayı tamamen ya da kısmen hiçbir üretken Yapay Zeka uygulamasına yükleyemez.

Localized display only

Reviewers and editors cannot upload submitted work, wholly or partly, to any generative AI application.

Ai Tool Treatment

Istanbul University Press policy says authors should disclose details of any AI used in content creation in the appropriate part of the work.

Review: Agent reviewedConfidence91%

Normalized value: iupress-authors-disclose-ai-use

Original evidence

Evidence 1
İçerik üretiminde kullanılan (metin, şekiller, resimler ve kod dahil ancak bunlarla sınırlı olmamak üzere) her türlü Yapay Zeka ile ilgili ayrıntılar çalışmanın uygun bölümünde (bilgi notu olarak ve/veya metod kısmında) beyan edilmeli ve net biçimde açıklanmalıdır.

Localized display only

Details of any AI used in content creation should be declared and clearly explained in the appropriate section of the work.

Teaching

An Istanbul University EBS syllabus for 'Yapay Zeka Araclari Kullanimi' states that the course aims to help students use AI tools consciously, ethically, and effectively.

Review: Agent reviewedConfidence86%

Normalized value: ebs-ai-tools-course-ethical-effective-use

Original evidence

Evidence 1
Öğrencilerin yapay zekâ araçlarını bilinçli, etik ve etkin biçimde kullanarak metin yazma, dil kontrolü, raporlama, sunum hazırlama ve görsel–işitsel içerik üretimi gibi beceriler kazanması hedeflenmektedir.

Localized display only

The course aims for students to gain skills by using AI tools consciously, ethically, and effectively.

Teaching

An Istanbul University EBS syllabus for 'Sahne Sanatlarinda Yapay Zeka Uygulamalari II' includes generative AI, verification, bias, hallucination analysis, copyright, student data/privacy, institutional policy, and risk management as course content.

Review: Agent reviewedConfidence85%

Normalized value: ebs-performing-arts-ai-course-privacy-risk-content

Original evidence

Evidence 1
Üretken yapay zekânın temel kavramları; prompt/iş akışı tasarımı; metin-müzik-görsel üretim ve sahneleme süreçleri; öğretim tasarımı ve ölçme-değerlendirme; doğrulama/önyargı/hallüsinasyon analizi; telif ve lisanslar; öğrenci verisi ve mahremiyet; kurum politikası ve risk yönetimi; mikro-öğretim; capstone geliştirme ve raporlama.

Localized display only

The syllabus includes generative AI basics, workflows, verification, bias and hallucination analysis, copyright, student data/privacy, institutional policy, and risk management.

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

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.

Last checkedMay 17, 2026Last changedMay 17, 2026Open change log

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.

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