What Is AI Watermarking?
AI Watermarking is embedding a machine-detectable marker in AI-generated content so it can later be identified as synthetic.
AI Watermarking — embedding a machine-detectable marker in AI-generated content so it can later be identified as synthetic.
Watermarking helps address the provenance problem — telling whether content was produced by AI. The EU AI Act's Article 50(2) requires providers of generative systems to mark their synthetic output in a machine-readable, detectable way; under the May 2026 Digital Omnibus (provisionally agreed 7 May 2026, pending formal adoption) this obligation was given a four-month grace period to 2 December 2026, making it one of the nearest-term AI Act deadlines. Open standards such as C2PA aim to carry provenance signals across platforms. Watermarks can be removed or degraded, so they are a partial control rather than a guarantee.
Source: EU AI Act, Article 50(2); C2PA Content Provenance
Plain-language explanation
Watermarking helps address the provenance problem — telling whether content was produced by AI. The EU AI Act's Article 50(2) requires providers of generative systems to mark their synthetic output in a machine-readable, detectable way; under the May 2026 Digital Omnibus (provisionally agreed 7 May 2026, pending formal adoption) this obligation was given a four-month grace period to 2 December 2026, making it one of the nearest-term AI Act deadlines. Open standards such as C2PA aim to carry provenance signals across platforms. Watermarks can be removed or degraded, so they are a partial control rather than a guarantee.
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