University AI Policy Tracker

Open, evidence-backed AI policy records for public reuse.

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Change log

Istanbul University

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Review: Agent reviewedLast checkedMay 17, 2026Last changedMay 17, 2026Claims5Sources3
University pagePublic JSON

Change summary

Current public record freshness and review state.

Istanbul University currently has 5 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 17, 2026.

This tracker 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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

Istanbul University current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+10-0
11 # Istanbul University AI policy record
2+research: Istanbul University Press policy says no AI tool can be listed as an author in a scientific work.
3+Evidence (tr, 469657a6ee0b): Hiçbir Yapay Zeka aracı hiçbir bilimsel çalışmada yazar olarak listelenemez.
4+privacy: Istanbul University Press policy says reviewers and editors cannot upload submitted work, in whole or in part, to a generative AI application.
5+Evidence (tr, 469657a6ee0b): Hakemler ve editörler gönderilen çalışmayı tamamen ya da kısmen hiçbir üretken Yapay Zeka uygulamasına yükleyemez.
6+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.
7+Evidence (tr, 469657a6ee0b): 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.
8+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.
9+Evidence (tr, e4f2af741b3c): 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.
10+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.
11+Evidence (tr, 5305142af60b): 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.

Claim changes

5 claim records

research

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

Review: Agent reviewedConfidence93%Evidence1Languagestr

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%Evidence1Languagestr

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%Evidence1Languagestr

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%Evidence1Languagestr

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%Evidence1Languagestr

Source snapshots

3 source attributions