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AI Detection Scores Are Not Verdicts: Evidence for Video Projects
Detection can prompt review, but cannot by itself establish authorship, permission or liability. Provenance credentials and project records answer different questions and have limits.
Revision note:The original publication record is unavailable; the displayed publication date is this restoration. Reconstructed from surviving Chinese copy and original sources; corrected publication date and clarified hypothetical examples and C2PA limits.
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Suppose a detector reports “87% AI-generated.” That number does not establish who created the material, whether it was licensed or who changed it. The percentage is a hypothetical illustration, not a test result from this article.
This English article has been reconstructed and revised from the surviving Chinese manuscript and original sources. It is not a verbatim recovery of the previous English publication.
A detection result is not responsibility evidence
The Tekedia article, published August 9, 2026, discusses mistaken social-platform AI labels and creator appeals. It is media discussion, not an accuracy study proving that every detector is ineffective.
For a video project, an unusual score can prompt review of original files, tool documentation and editing history. It cannot be converted directly into an infringement probability or used alone to settle payment or penalties.
What provenance credentials can record
The C2PA FAQ explains that Content Credentials use signatures and hashes to preserve provenance information, including creation processes, tools and modifications. Their role is to support integrity and trust in recorded information, rather than decide whether the story depicted is true.
The core specification does not establish attribution to an individual or organization. Some community extensions add attribution information. A credential's presence should not be presented as proof of authorship or copyright ownership.
One credential is not the entire history
Composite media can use several ingredients. Verifying the full ingredient chain requires access to the relevant ingredient data. A final-file credential does not mean every historical source has been checked.
Credential metadata can also be removed. Absence is not automatic evidence of wrongdoing, while presence does not replace factual or permission checks.
Keep four groups of project records
Retain original asset filenames, submitters and timestamps; permission scopes for people, music, fonts and brand assets; submitted and approved versions; and the correspondence between final videos, subtitles, covers and agreed source files.
These are project-management recommendations. They do not imply that VQOS has implemented C2PA signing for every file. Actual usage rights must still be checked against licenses and agreements.
Review disputes through corroborating evidence
Identify the disputed file and question first, then compare source assets and version history. Ask a detector provider to explain the intended media type, output meaning and known errors. Allow the production team to explain its process and supply missing records.
Read the VQOS collaboration and responsibility guidance, then specify tool disclosures, material sources and permission lists in your production brief. Confirm data handling before uploading confidential material to a detection service.
This article offers editorial and project-management advice based on public sources. It reports no detection experiment. C2PA is neither a truth verdict nor proof of copyright ownership.
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