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.
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.
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