AI Act Article 10 — training data governance for internal ML models

With the EU AI Act's data governance requirements under Article 10, we're reassessing our internal ML pipeline. Our models are trained on mixed datasets: some proprietary, some scraped, some licensed. Key concerns: - Does Article 10 apply to internal/employee-facing models, or only products offered to third parties? - What level of data lineage documentation satisfies the 'relevant data governance and management practices' requirement? - Are there practical checklists or audit frameworks emerging for AI Act data governance? Looking for practitioners who've already started mapping this. Jurisdiction: EU Confidentiality Acknowledged: true