A digital watermark, in the AI-content sense, is a signal embedded directly into a piece of generated audio, image, video or text at the moment it is created, designed to be imperceptible to a person experiencing the content but detectable afterward by a matching tool, as a way of marking the content as machine-made.
The clearest working description of the mechanism comes from Google DeepMind’s own account of its SynthID tool: “SynthID embeds digital watermarks directly into AI-generated images, audio, text or video. The watermarks are embedded across Google’s generative AI consumer products, and are imperceptible to humans – but can be detected by SynthID’s technology”. For images and video the watermark is “designed to stand up to modifications like cropping, adding filters, changing frame rates, or lossy compression”; text works differently, because “Large language models generate text one word (token) at a time”, each with a probability score attached, and “SynthID adjusts these probability scores to generate a watermark”. That covers Google’s own products only — it says nothing about content from any other model.
No Canadian law requires a watermark on AI content. The nearest federal hook is voluntary: signatories to Innovation, Science and Economic Development Canada’s Voluntary Code of Conduct commit, if their system is publicly available, to “develop and implement a reliable and freely available method to detect content generated by the system, with a near-term focus on audio-visual content (e.g., watermarking)”. The Code binds only its signatories and changes no existing legal obligation. Beyond that, the closest thing to a labelling duty in Canadian privacy guidance is the federal, provincial and territorial privacy commissioners’ principle that significant AI outputs be “meaningfully identified” — a disclosure principle, not a technical watermarking requirement, and not a statute.
A stock-image platform generates a product photo with an AI image tool that applies SynthID. A customer downloads the image, crops it to a square, and adds a colour filter before posting it. The watermark is designed to survive exactly that kind of edit, so a compatible detector can still read it back out — but only if the checker happens to support that particular watermarking scheme. Run the same cropped, filtered image through a detector built for a different vendor’s watermark, or no watermark scheme has ever been applied, and it will read as unmarked, not as unaltered.
See also: what is provenance metadata, what is synthetic media, how AI watermarking works.
Choosing whether generated marketing or brand content should carry a detectable watermark, and disclosing that it is AI-made, is a growth and brand-voice decision — ai-growth-marketing covers where that line sits.
