AC

KVKK and FSEK Framework in Artificial Intelligence Model Training

TL;DR

AI eğitim verisi (web kazıma, kullanıcı veri, üçüncü taraf veri) KVKK m.5 + FSEK çerçevesinde dikkatle değerlendirilmeli.

16 Şubat 2026 1 dk okuma 12 görüntülenme Son güncelleme: 10 Mayıs 2026

It is necessary to create the legal risk map of AI training data from scratch.

Data sources and risk

  • Web scraping: robots.txt + ToS + KVKK art.5.
  • User data: legitimate interest + disclosure.
  • Third party data: license agreement.

Output responsibility

  • Copyright violation (copying things learned from the work).
  • Slander, insult results.
  • Hallucination = TBK general damage liability.

Contract clauses

  • Use limitations.
  • Indemnity parties.

Frequently asked

Can I scrape the public website?

If robots.txt is allowed, technical OK; KVKK is a separate legal reason.

Is user data opt-out sufficient?

Generally no; Explicit consent + enlightenment.

What if the output is copyright infringement?

Provider + user chain liability; contract indemnity critical.

Relevant legislation

  • Turkish Commercial Code art.331-644 — A.Ş. and LTD establishment, share transfer.
  • FSEK art.2/1-1 — Protection of software as a work.
  • SMK No. 6769 — Trademark, patent, utility model, design.
  • KVKK article 12 — Data security, by-design principle.
  • TBK art.193 et seq. — Contracts, guarantees, indemnification.
Legal notice: This article is for general information purposes; A meeting with a lawyer is required for a concrete case.

Kaynaklar ve referanslar

Kaynaklar

Yapay Zeka Modeli Eğitiminde KVKK ve FSEK Çerçevesi içeriği hazırlanırken resmi mevzuat ve yüksek yargı kaynakları esas alınmıştır.

Telif bildirimi This content and all related Q&A texts are protected under Turkish Copyright Law No. 5846. Unauthorized copying, reproduction, publication, adaptation, bulk extraction, or commercial use is prohibited; legal and criminal remedies are reserved in case of infringement.

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