What is AI watermarking?
AI watermarking is the practice of embedding signals into AI-generated content — imperceptible pixel or audio patterns, statistical token biases in text, or robust identifiers that survive compression and cropping — so that machines can later detect the content as synthetic. Under Article 50 of the EU AI Act, providers of generative systems must mark outputs in a machine-readable format from 2 August 2026; watermarking is one accepted technique, alongside provenance metadata such as Content Credentials (C2PA), fingerprinting and cryptographic methods.
Legal expectations, in practice
- The Act requires solutions to be effective, interoperable, robust and reliable as far as technically feasible — a standard, not a specific technology;
- Text watermarking remains technically fragile; layered approaches (watermark + metadata + detection API) are the defensible position;
- Deployers of deepfake tools still owe a separate visible disclosure — watermarking alone does not satisfy it.
Why it matters
For Turkey-connected products serving EU users, marking is a launch-blocking product requirement, not a policy footnote. Türkiye’s November 2025 criminal-law draft on AI-generated content points the same direction domestically.