Türkiye is about to regulate synthetic content twice over. In Brussels, the AI Act’s Article 50 makes machine-readable marking of AI-generated media and visible deepfake labelling applicable from 2 August 2026. In Ankara, a draft law submitted to Parliament in November 2025 proposes criminal-law consequences for harmful AI-generated content. If your product creates, edits or distributes synthetic media; video tools, avatar apps, voice cloning, game engines, marketing generators; you now plan against both.
The Ankara track: from platform problem to criminal exposure
The November 2025 draft amends the Turkish Penal Code and related laws to address AI-generated content used for defamation, fraud, non-consensual intimate imagery and election manipulation. Its architecture matters more than its final wording: liability attaches to creation and knowing distribution, meaning tool providers will face the classic dual-use questions; what did you know, what could you prevent, what did your terms prohibit and your systems enforce?
Expect three practical demands to crystallise as the draft moves: identity-verification or abuse-prevention duties for consumer generation tools, takedown workflows tuned for synthetic content, and evidence-preservation obligations when content becomes a criminal file.
The Brussels track: labelling as a product feature
Article 50 requires that AI-generated or manipulated audio, image, video and text be marked machine-readably, and that deepfakes (content resembling real persons, places or events) be visibly disclosed. For a generation tool, that means provenance metadata (C2PA-style credentials are becoming the de facto answer), watermarking where feasible, and UI-level disclosure defaults. For a platform hosting user generations, it means deciding whether you strip, preserve or verify provenance signals on upload; stripping them may put you on the wrong side of the duty.
One build, two regimes
| Design decision | Serves AI Act Art. 50 | Serves TR draft exposure |
|---|---|---|
| Provenance metadata on every output | Machine-readable marking | Origin evidence when content is misused |
| Visible “AI-generated” defaults for realistic human content | Deepfake disclosure | Negates “knowing deception” narratives |
| Abuse-category blocking (intimate imagery, real-person impersonation) | Risk mitigation record | Directly targets the criminalised uses |
| Terms banning unlawful synthesis + enforcement logs | Deployer instructions | Platform diligence defence |
| Preservation pipeline for flagged content | ; | Evidence obligations, MASAK-style readiness |
Who should move first
Consumer face/voice apps and marketing-content generators carry the highest dual exposure; game studios generating realistic humans are next (see our gaming-sector piece later this month); B2B tools are not exempt but can push more duties to enterprise customers contractually. In all cases the cheap moment to add provenance is at the architecture stage; retrofitting watermarking across a shipped pipeline is the expensive version of the same decision.
We track both tracks in our AI & Algorithm Law practice; for the EU side start with our August 2 explainer.
Sources. Regulation (EU) 2024/1689 (AI Act) and Turkish Penal Code No. 5237. Statute links open the official consolidated Turkish texts on mevzuat.gov.tr.
This article is for general information only and does not constitute legal advice. The Turkish draft is pending and may change; the position reflects July 2026.
