Domestic AI Data Ecosystems

Examine how data availability, privacy controls, synthetic data, and governance choices shape the reliability and growth of AI systems at scale. Compare strategies for developing domestically sourced data ecosystems that respect privacy and fairness, discuss data partnerships and privacy-preserving techniques, and propose metrics for data readiness and ethical risk.