Current European Commission guidance describes marking and labelling obligations for certain AI-generated or manipulated content. The operational challenge is that a generated asset rarely travels directly from a model to the audience. It may pass through editors, agencies, export tools, and distribution platforms.
Record provenance at creation
Store the generating tool, creation date, authorized source assets, consent records where relevant, and the intended use. Avoid using a filename as the only provenance record; files get renamed and copied.
Machine-readable marking and a visible audience disclosure serve different purposes. A visible badge should not be assumed to replace required technical marking, and technical metadata alone may not provide the audience notice a particular use requires.
Inspect the transformation chain
Test whether resizing, compression, subtitle creation, or social uploads preserve the information your policy relies on. When provenance is lost, define an approved publication path rather than quietly continuing.
For synthetic voices or likenesses, review authorization, potential impersonation, and revocation handling. A tool's ability to generate a likeness does not establish permission to publish it.
Make publication a controlled decision
Give the final reviewer a clear checklist: rights, factual claims, appropriate disclosure, provenance status, and channel requirements. Record the actual published version so an incident can be traced back to the asset and approvals involved.
Requirements vary by content and context; obtain legal review for the specific campaign. A durable workflow makes provenance available when it is needed, instead of asking a rushed marketing team to reconstruct the history after a complaint.
Sources & further reading
Reviewed October 26, 2026. Product availability and regulatory guidance can change. Vendor performance claims are not independent Rovio AI benchmarks.
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