AI Training Data Governance

Design a comparative framework for evaluating AI training data disclosure and provenance policies. Include components such as transparency requirements, accountable data stewardship, and effects on competition, consumer rights, and safety. Use hypothetical sector-specific scenarios to illustrate potential outcomes under different governance models, and propose a prioritized set of policy-design principles with measurable success indicators.