C2PA Fails To Secure Image Authenticity
Verge reporter Jess Weatherbed discusses C2PA in a 2026 Decoder interview, highlighting the Adobe-led metadata standard backed by Meta, Microsoft, and OpenAI. She says C2PA was built for photography provenance rather than AI-manipulation detection, and that metadata can be stripped, adoption is partial, and platforms may remove it. The result, she warns, undercuts efforts to reliably label real versus synthetic images and videos at scale.
Scoring Rationale
Industry-standard provenance effort has broad implications, but limited adoption and tampering reduce its practical effectiveness.
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Sources
- Read OriginalReality is losing the deepfake wartheverge.com
