Governing AI Data Disclosure

Develop a policy-forward framework for oversight of AI systems used in critical sectors, focusing on data provenance and training-data disclosure, model risk assessment, accountability mechanisms, and ongoing monitoring. Identify stakeholder roles (regulators, firms, users, researchers), international comparators, and measurable indicators of responsible AI. Provide a phased implementation plan that balances innovation with safety.