C2PA tests media provenance against deepfakes
Howtown's Joss Fong and Adam Cole use a personal, almost comic setup to show how hard it is to prove a photo or video is real in the generative-AI era. The video frames C2PA and Content Credentials as one of the few practical answers, but makes clear the standard only works when capture, editing, and publishing tools preserve the provenance chain.
Provenance is the right battlefield, but it is not a magic truth machine. C2PA can sign provenance and record AI or ML edits through digitalSourceType, but the spec explicitly says provenance is not truth. The system's biggest failure mode is distribution: re-exports, reuploads, and platforms can strip or hide the metadata before users ever see it. For AI builders, the takeaway is to design provenance into capture, generation, editing, and hosting from day one. The real UX problem is trust: a credential only matters if ordinary users understand the signer and know why it should count. That makes this less about detection and more about trust infrastructure, which is exactly why it matters.
DISCOVERED
17d ago
2026-03-25
PUBLISHED
18d ago
2026-03-25
RELEVANCE
AUTHOR
dabinat