AI Watermarking
AI watermarking is an embedded, often imperceptible signal that identifies content as AI-generated and is designed to survive common processing such as compression and re-encoding.
Watermarking differs from provenance metadata in where it lives. Metadata sits in the file's container and can be stripped during upload. A watermark is woven into the content itself — the pixels, the audio waveform — making it harder to remove without degrading the asset.
Neither approach is sufficient alone. Watermarks can be degraded; metadata can be stripped. The durable model — and the one regulators favor — is multi-layered: a provenance manifest, an imperceptible watermark, and content fingerprinting together, so the disclosure survives the path from creation to the viewer.
FAQ
What is AI watermarking?
It is an embedded, often imperceptible signal identifying content as AI-generated, designed to survive common processing.
How is watermarking different from provenance metadata?
Metadata lives in the file container and can be stripped. A watermark is embedded in the content itself, making it harder to remove.